WO2025000538A1 - Message sending method and apparatus - Google Patents

Abstract

The present disclosure provides a message sending method and apparatus, a device, and a storage medium. The method comprises: sending a system information block (SIB) related to artificial intelligence (AI)-based positioning to a terminal, the system information block comprising configuration information, of at least one of the terminal and a network device, for performing AI-based positioning. The present disclosure can improve the efficiency of message transmission and improve the convenience of positioning.

Description

Message sending method and device Technical Field

The present disclosure relates to the field of communication technology, and in particular to a message sending method, device, equipment and storage medium.

Background Art

In communication systems, the widespread application of artificial intelligence (AI) technology has brought tremendous changes to all aspects of people's lives. Among them, the continuous development of AI technology not only brings a variety of applications to smart terminal devices, but also promotes industrial upgrading in various industries. For example, AI models can be used for positioning.

Summary of the invention

The present disclosure proposes a message sending method, device, equipment and storage medium to solve the problem of low message transmission efficiency.

According to a first aspect of an embodiment of the present disclosure, a message sending method is proposed, the method being executed by a network device, the method comprising:

Send a system message (System Information Block, SIB) related to artificial intelligence AI positioning to the terminal, wherein the system message includes configuration information for performing AI-based positioning on at least one of the terminal and the network device.

According to a second aspect of an embodiment of the present disclosure, a message receiving method is proposed, the method being executed by a terminal, the method comprising:

Receiving a system message SIB related to artificial intelligence (AI) positioning sent by a network device, wherein the system message includes configuration information for performing AI-based positioning on at least one of the terminal and the network device;

Perform an AI-based positioning operation corresponding to the configuration information.

According to a third aspect of an embodiment of the present disclosure, a message sending method is proposed, the method being executed by a positioning server, the method comprising:

Send configuration information to a network device, wherein the configuration information is used to instruct the network device to map the configuration information to a corresponding information field in a system message SIB related to artificial intelligence (AI) positioning.

According to a fourth aspect of an embodiment of the present disclosure, a network device is provided, the device comprising:

A transceiver module is used to send a system message SIB related to artificial intelligence AI positioning to at least one of a terminal and a network device, wherein the system message includes configuration information for AI-based positioning of at least one of the terminal and the network device.

According to a fifth aspect of an embodiment of the present disclosure, a terminal is provided, the device comprising:

A transceiver module, used to receive a system message SIB related to artificial intelligence AI positioning sent by a network device, wherein the system message includes configuration information for the terminal to perform AI-based positioning;

A processing module is used to perform an AI-based positioning operation corresponding to the configuration information.

According to a sixth aspect of an embodiment of the present disclosure, a positioning server is provided, the device comprising:

A transceiver module is used to send configuration information to a network device, wherein the configuration information is used to instruct the network device to map the configuration information to a corresponding information field in a system message SIB related to artificial intelligence AI positioning.

According to a seventh aspect of an embodiment of the present disclosure, a network device is provided, including:

one or more processors;

Wherein, the terminal is used to execute the message sending method described in the first aspect.

According to an eighth aspect of an embodiment of the present disclosure, a terminal is provided, including:

one or more processors;

Wherein, the terminal is used to execute the message sending method described in any one of the second aspects.

According to a ninth aspect of an embodiment of the present disclosure, a terminal is provided, including:

one or more processors;

Wherein, the terminal is used to execute the message sending method described in any one of the third aspects.

According to a tenth aspect of an embodiment of the present disclosure, a communication system is proposed, including a terminal, a network device, and a positioning server, wherein the network device is configured to implement the message sending method described in any one of the first aspects, and the terminal is configured to implement the second aspect. A message sending method, wherein the positioning server is configured to implement the message sending method described in the third aspect.

According to the eleventh aspect of an embodiment of the present disclosure, a storage medium is proposed, which stores instructions. When the instructions are executed on a communication device, the communication device executes the message sending method described in any one of the first aspect, the message sending method described in the second aspect, or the message sending method described in any one of the third aspect.

BRIEF DESCRIPTION OF THE DRAWINGS

The above and/or additional aspects and advantages of the present disclosure will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

FIG1 is a schematic diagram of the architecture of a communication system according to an embodiment of the present disclosure;

FIG2 is an interactive schematic diagram of a message sending method provided by yet another embodiment of the present disclosure;

FIG3A is a schematic diagram of a flow chart of a message sending method provided by yet another embodiment of the present disclosure;

FIG3B is a flow chart of a message sending method provided by yet another embodiment of the present disclosure;

FIG3C is a flow chart of a message sending method provided by yet another embodiment of the present disclosure;

FIG4A is a schematic diagram of a flow chart of a message sending method provided by yet another embodiment of the present disclosure;

FIG5A is a schematic flow chart of a message sending method provided by yet another embodiment of the present disclosure;

FIG6A is a schematic diagram of a flow chart of a message sending method provided by yet another embodiment of the present disclosure;

FIG7A is a schematic diagram of the structure of a network device provided by another embodiment of the present disclosure;

FIG7B is a schematic diagram of the structure of a terminal provided by an embodiment of the present disclosure;

FIG7C is a schematic diagram of the structure of a positioning server provided by an embodiment of the present disclosure;

FIG8A is a schematic diagram of the structure of a communication device provided by an embodiment of the present disclosure;

FIG8B is a schematic diagram of the structure of a chip provided by an embodiment of the present disclosure.

DETAILED DESCRIPTION

The present disclosure proposes a message sending method, device, equipment and storage medium to solve the problem of low message transmission efficiency.

According to a first aspect of an embodiment of the present disclosure, a message sending method is proposed, the method being executed by a network device, the method comprising:

Send a system message SIB related to artificial intelligence AI positioning to the terminal, wherein the system message includes configuration information for AI-based positioning of at least one of the terminal and the network device.

In the above embodiment, a system message SIB related to artificial intelligence AI positioning can be sent to the terminal, a public system message can be provided to the terminal, the situation of sending public configuration information to different terminals multiple times can be reduced, the message transmission efficiency can be improved, and the convenience of positioning can be improved.

In combination with some embodiments of the first aspect, in some embodiments, the configuration information is used to indicate support for at least one of the following positioning methods:

AI-based direct positioning method;

AI-based Time of Arrival (ToA) prediction method;

AI-based line of sight (LOS) classification or non line of sight (NLOS) classification method.

In the above embodiments, the positioning method indicated by the configuration information can be clarified, and the configuration information and the positioning method indicated by the configuration information can be used for positioning, thereby reducing the mismatch between the positioning method indicated by the configuration information and the configuration information, increasing the timing duration, and improving the positioning efficiency.

In combination with some embodiments of the first aspect, in some embodiments, the configuration information includes at least one of the following:

Data information sent by the terminal;

Configuration information of a channel sounding reference signal (SRS) sent by the terminal;

Configuration information of the positioning reference signal (PRS) sent by the network device.

In combination with some embodiments of the first aspect, in some embodiments, the data information includes at least one of the following:

Data type;

The dimension corresponding to the data type.

In conjunction with some embodiments of the first aspect, in some embodiments, the data type includes at least one of the following:

Reference Signal Receiving Power (RSRP);

Channel impulse response (CIR);

Power distribution information.

In combination with some embodiments of the first aspect, in some embodiments, the AI positioning-related system message includes at least one positioning system message type.

In the above embodiment, the system message type may correspond to different auxiliary data elements, so the terminal may perform a positioning operation according to the system message type, thereby reducing the time for determining the positioning method and improving the positioning efficiency.

In combination with some embodiments of the first aspect, in some embodiments, different positioning system message types correspond to different AI-based positioning methods.

In the above embodiment, different positioning system message types correspond to different AI-based positioning methods. Therefore, the terminal can directly perform the positioning operation corresponding to the AI-based positioning method according to the system message type, thereby reducing the time for determining the positioning method and improving the positioning efficiency.

In combination with some embodiments of the first aspect, in some embodiments, multiple positioning system message types correspond to the same AI-based positioning method.

In combination with some embodiments of the first aspect, in some embodiments, one positioning message type corresponds to multiple different AI-based positioning methods.

In combination with some embodiments of the first aspect, in some embodiments, the method further includes:

Receive configuration information sent by the positioning server;

The configuration information is mapped to a corresponding information field in the system message.

In the above embodiment, the configuration information sent by the positioning server can be mapped to the information field corresponding to the system message, so that a configuration method of the system message can be provided, thereby improving the convenience of defining the system message.

In combination with some embodiments of the first aspect, in some embodiments, sending a system message SIB related to artificial intelligence AI positioning to the terminal includes:

Receiving a system message SIB sent by the terminal using random access resources;

Send a system message related to artificial intelligence AI positioning based on the system message SIB to the terminal.

In the above embodiment, system messages related to artificial intelligence AI positioning can be sent based on the system message SIB sent by the terminal, which can improve the accuracy of transmission of system messages related to artificial intelligence AI positioning, reduce the resources used for sending unnecessary system messages related to artificial intelligence AI positioning, save resources, and improve resource utilization efficiency.

In combination with some embodiments of the first aspect, in some embodiments, sending a system message SIB related to artificial intelligence AI positioning to the terminal includes:

Periodically sending at least one SIB in the positioning-related system message SIB to the terminal.

In the above embodiment, there is at least one SIB in the positioning-related system message SIB that is sent periodically, which can improve the convenience of transmission of the positioning-related system message SIB, reduce the situation where the positioning-related system message SIB cannot be sent to the terminal in time, and improve the message transmission efficiency.

In combination with some embodiments of the first aspect, in some embodiments, the method further includes:

Sending SIB1 to the terminal, wherein the SIB1 carries time information for sending the at least one SIB.

In the above embodiment, SIB1 may carry time information for sending at least one SIB, and a time mechanism for periodically sending SIBs may be provided to improve the accuracy of message reception and the efficiency of message transmission.

According to a second aspect of an embodiment of the present disclosure, a message receiving method is proposed, the method being executed by a terminal, and the method comprising:

Receiving a system message SIB related to artificial intelligence (AI) positioning sent by a network device, wherein the system message includes configuration information for performing AI-based positioning on at least one of the terminal and the network device;

Perform an AI-based positioning operation corresponding to the configuration information.

In the above embodiment, the system message SIB related to artificial intelligence AI positioning sent by the network device can be received and the corresponding The AI-based positioning operation can directly receive the public configuration information sent by the network equipment, which can improve the transmission efficiency of messages and reduce the determination time of the AI-based positioning operation, thereby improving the convenience of positioning.

In combination with some embodiments of the second aspect, in some embodiments, the configuration information is used to indicate support for at least one of the following positioning methods:

AI-based direct positioning method;

AI-based arrival time ToA prediction method;

AI-based direct path LOS classification or indirect path NLOS classification method.

In conjunction with some embodiments of the second aspect, in some embodiments, the configuration information includes at least one of the following:

Data information sent by the terminal;

Configuration information of a channel sounding reference signal SRS sent by the terminal;

Configuration information of a positioning reference signal PRS sent by the network device.

In conjunction with some embodiments of the second aspect, in some embodiments, the data information includes at least one of the following:

Data type;

The dimension corresponding to the data type.

In conjunction with some embodiments of the second aspect, in some embodiments, the data type includes at least one of the following:

Reference signal received power RSRP;

Channel impulse response;

Power distribution information.

In combination with some embodiments of the second aspect, in some embodiments, the AI positioning-related system message includes at least one positioning system message type.

In combination with some embodiments of the second aspect, in some embodiments, different positioning system message types correspond to different AI-based positioning methods.

In combination with some embodiments of the second aspect, in some embodiments, multiple positioning system message types correspond to the same AI-based positioning method.

In combination with some embodiments of the second aspect, in some embodiments, one positioning message type corresponds to multiple different AI-based positioning methods.

In combination with some embodiments of the second aspect, in some embodiments, the receiving a system message SIB related to artificial intelligence AI positioning sent by a network device includes:

Periodically receive at least one SIB in the system message SIB related to AI positioning based on the network device.

In conjunction with some embodiments of the second aspect, in some embodiments, the method further includes:

Receive SIB1 sent by the network device, wherein the SIB1 carries time information for sending the at least one SIB.

In conjunction with some embodiments of the second aspect, in some embodiments, the method further includes:

Sending a system message SIB to the network device using random access resources;

Receive SIB information sent by the network device for the system message SIB.

According to a third aspect of an embodiment of the present disclosure, a message sending method is proposed, the method being executed by a positioning server, the method comprising:

Send configuration information to a network device, wherein the configuration information is used to instruct the network device to map the configuration information to a corresponding information field in a system message SIB related to artificial intelligence (AI) positioning.

In the above embodiment, configuration information can be sent to the network device so that the network device maps the configuration information to the information field corresponding to the system message, which can provide a configuration method for the system message and improve the convenience of defining the system message.

According to a fourth aspect of an embodiment of the present disclosure, a network device is provided, the device comprising:

A transceiver module, configured to send a system message SIB related to artificial intelligence (AI) positioning to at least one of a terminal and a network device, wherein the system message includes configuration information for performing AI-based positioning on at least one of the terminal and the network device. The network device is configured to perform an optional implementation of the first aspect.

According to a fifth aspect of an embodiment of the present disclosure, a terminal is provided, wherein the device includes:

A transceiver module, used to receive a system message SIB related to artificial intelligence AI positioning sent by a network device, wherein the system message includes configuration information for the terminal to perform AI-based positioning;

A processing module is used to perform an AI-based positioning operation corresponding to the configuration information. The terminal is used to perform an optional implementation of the second aspect.

In the above embodiment, the system message SIB related to artificial intelligence AI positioning sent by the network device can be received and the corresponding AI-based positioning operation can be performed. The public configuration information sent by the network device can be directly received, the message transmission efficiency can be improved, the determination time of the AI-based positioning operation can be reduced, and the convenience of positioning can be improved.

According to a sixth aspect of an embodiment of the present disclosure, a positioning server is provided, the device comprising:

A transceiver module, used to send configuration information to a network device, wherein the configuration information is used to instruct the network device to map the configuration information to a corresponding information domain in a system message SIB related to artificial intelligence AI positioning. The above terminal is used to execute an optional implementation of the third aspect. The above terminal is used to execute an optional implementation of the third aspect.

According to a seventh aspect of an embodiment of the present disclosure, a network device is provided, including:

one or more processors;

Wherein, the terminal is used to execute the message sending method described in the first aspect.

According to an eighth aspect of an embodiment of the present disclosure, a terminal is provided, including:

one or more processors;

Wherein, the terminal is used to execute the message sending method described in any one of the second aspects.

According to a ninth aspect of an embodiment of the present disclosure, a terminal is provided, including:

one or more processors;

Wherein, the terminal is used to execute the message sending method described in any one of the third aspects.

According to the tenth aspect of an embodiment of the present disclosure, a communication system is proposed, comprising a terminal, a network device and a positioning server, wherein the network device is configured to implement the message sending method described in any one of the first aspects, the terminal is configured to implement the message sending method described in the second aspect, and the positioning server is configured to implement the message sending method described in the third aspect.

According to the eleventh aspect of an embodiment of the present disclosure, a storage medium is proposed, which stores instructions. When the instructions are executed on a communication device, the communication device executes the message sending method described in any one of the first aspect, the message sending method described in the second aspect, or the message sending method described in any one of the third aspect.

The disclosed embodiments propose a message sending method. In some embodiments, the message sending method method and information processing method, communication method and other terms can be replaced with each other, the message sending device and information processing device, communication device and other terms can be replaced with each other, and the information processing system and communication system and other terms can be replaced with each other.

The embodiments of the present disclosure are not exhaustive, but are only illustrative of some embodiments, and are not intended to be a specific limitation on the scope of protection of the present disclosure. In the absence of contradiction, each step in a certain embodiment can be implemented as an independent embodiment, and the steps can be arbitrarily combined. For example, a solution after removing some steps in a certain embodiment can also be implemented as an independent embodiment, and the order of the steps in a certain embodiment can be arbitrarily exchanged. In addition, the optional implementation methods in a certain embodiment can be arbitrarily combined; in addition, the embodiments can be arbitrarily combined, for example, some or all of the steps of different embodiments can be arbitrarily combined, and a certain embodiment can be arbitrarily combined with the optional implementation methods of other embodiments.

In each embodiment of the present disclosure, unless otherwise specified or there is a logical conflict, the terms and/or descriptions between the embodiments are consistent and can be referenced to each other, and the technical features in different embodiments can be combined to form a new embodiment based on their internal logical relationships.

The terms used in the embodiments of the present disclosure are only for the purpose of describing specific embodiments and are not intended to limit the present disclosure.

In the embodiments of the present disclosure, unless otherwise specified, elements expressed in the singular form, such as "a", "an", "the", "above", "said", "aforementioned", "this", etc., may mean "one and only one", or "one or more", "at least one", etc. For example, when using articles such as "a", "an", "the" in English in translation, the noun after the article may be understood as a singular expression or a plural expression.

In the embodiments of the present disclosure, “plurality” refers to two or more.

In some embodiments, the terms “at least one,” “one or more,” “a plurality of,” “multiple,” etc. may be used interchangeably.

In some embodiments, "at least one of A and B", "A and/or B", "A in one case, B in another case", "in response to one case A, in response to another case B", etc., may include the following technical solutions according to the situation: in some embodiments, A (A is executed independently of B); in some embodiments, B (B is executed independently of A); in some embodiments, execution is selected from A and B (A and B are selectively executed); in some embodiments, A and B (both A and B are executed). When there are more branches such as A, B, C, etc., the above is also similar.

In some embodiments, the recording method of "A or B" may include the following technical solutions according to the situation: in some embodiments, A (A is executed independently of B); in some embodiments, B (B is executed independently of A); in some embodiments, execution is selected from A and B (A and B are selectively executed). When there are more branches such as A, B, C, etc., the above is also similar.

The prefixes such as "first" and "second" in the embodiments of the present disclosure are only used to distinguish different description objects, and do not constitute restrictions on the position, order, priority, quantity or content of the description objects. The statement of the description object refers to the description in the context of the claims or embodiments, and should not constitute unnecessary restrictions due to the use of prefixes. For example, if the description object is a "field", the ordinal number before the "field" in the "first field" and the "second field" does not limit the position or order between the "fields", and the "first" and "second" do not limit whether the "fields" they modify are in the same message, nor do they limit the order of the "first field" and the "second field". For another example, if the description object is a "level", the ordinal number before the "level" in the "first level" and the "second level" does not limit the priority between the "levels". For another example, the number of description objects is not limited by the ordinal number, and can be one or more. Taking the "first device" as an example, the number of "devices" can be one or more. In addition, the objects modified by different prefixes may be the same or different. For example, if the description object is "device", then the "first device" and the "second device" may be the same device or different devices, and their types may be the same or different. For another example, if the description object is "information", then the "first information" and the "second information" may be the same information or different information, and their contents may be the same or different.

In some embodiments, “including A”, “comprising A”, “used to indicate A”, and “carrying A” can be interpreted as directly carrying A or indirectly indicating A.

In some embodiments, terms such as "in response to ...", "in response to determining ...", "in the case of ...", "at the time of ...", "when ...", "if ...", "if ...", etc. can be used interchangeably.

In some embodiments, terms such as "greater than", "greater than or equal to", "not less than", "more than", "more than or equal to", "not less than", "higher than", "higher than or equal to", "not lower than", and "above" can be replaced with each other, and terms such as "less than", "less than or equal to", "not greater than", "less than", "less than or equal to", "no more than", "lower than", "lower than or equal to", "not higher than", and "below" can be replaced with each other.

In some embodiments, devices and equipment may be interpreted as physical or virtual, and their names are not limited to the names recorded in the embodiments. In some cases, they may also be understood as "equipment", "device", "circuit", "network element", "node", "function", "unit", "section", "system", "network", "chip", "chip system", "entity", "subject", etc.

In some embodiments, "network" can be interpreted as devices included in the network, such as access network equipment, core network equipment, etc.

In some embodiments, "access network device (AN device)" may also be referred to as "radio access network device (RAN device)", "base station (BS)", "radio base station (radio base station)", "fixed station" and in some embodiments may also be understood as "node", "access point (access point)", "transmission point (TP)", "reception point (RP)", "transmission and/or reception point (transmission/reception point, TRP)", "panel", "antenna panel", "antenna array", "cell", "macro cell", "small cell", "femto cell", "pico cell", "sector", "cell group", "serving cell", "carrier", "component carrier", "bandwidth part (bandwidth part, BWP)", etc.

In some embodiments, the term “terminal” or “terminal device” may be referred to as “user equipment (UE)”, “user terminal”, “mobile station (MS)”, “mobile terminal (MT)”, subscriber station, mobile unit, subscriber unit, wireless unit, remote unit, mobile device, wireless device, wireless communication device, remote device, mobile subscriber station, access terminal, mobile terminal, wireless terminal, remote terminal, handset, user agent, mobile client, Client, etc.

In some embodiments, acquisition of data, information, etc. may comply with the laws and regulations of the country where the data is obtained.

In some embodiments, data, information, etc. may be obtained with the user's consent.

In addition, each element, each row, or each column in the table of the embodiments of the present disclosure may be implemented as an independent embodiment, and the combination of any elements, any rows, and any columns may also be implemented as an independent embodiment.

FIG1 is a schematic diagram of the architecture of a communication system according to an embodiment of the present disclosure. As shown in FIG1 , a communication system 100 includes a terminal 101 , a network device 102 , and a positioning server 103 .

In some embodiments, the terminal 101 includes, for example, a mobile phone, a wearable device, an Internet of Things device, a car with communication function, a smart car, a tablet computer (Pad), a computer with wireless transceiver function, a virtual reality (VR) terminal device, an augmented reality (AR) terminal device, a wireless terminal device in industrial control, a wireless terminal device in self-driving, a wireless terminal device in remote medical surgery, a wireless terminal device in a smart grid, a wireless terminal device in transportation safety, a wireless terminal device in a smart city, and at least one of a wireless terminal device in a smart home, but is not limited to these.

In some embodiments, the network device 102 may be, for example, a base station, which may include multiple cells that provide services to the terminal. Depending on the specific application scenario, the base station may also be called an access point, or may be a device in the access network that communicates with the wireless terminal through one or more sectors on the air interface, or other names. The network side device may be used to interchange received air frames with Internet Protocol (IP) packets, acting as a router between the wireless terminal and the rest of the access network, where the rest of the access network may include an Internet Protocol (IP) communication network. The network side device may also coordinate the attribute management of the air interface. For example, the network side device involved in the embodiments of the present application can be a network device (Base Transceiver Station, BTS) in the Global System for Mobile communications (GSM) or Code Division Multiple Access (CDMA), or a network device (NodeB) in Wide-band Code Division Multiple Access (WCDMA), or an evolved network device (evolutional Node B, eNB or e-NodeB) in the long-term evolution (LTE) system, a 5G base station (gNB) in the 5G network architecture (next generation system), or a home evolved Node B (HeNB), a relay node, a home base station (femto), a pico base station (pico), etc., but is not limited in the embodiments of the present application.

In some embodiments, the network device 102 may include, for example, at least one of an access network device and a core network device.

In some embodiments, the access network device is, for example, a node or device that accesses a terminal to a wireless network. The access network device may include an evolved Node B (eNB), a next generation evolved Node B (ng-eNB), a next generation Node B (gNB), a node B (NB), a home node B (HNB), a home evolved node B (HeNB), a wireless backhaul device, a radio network controller (RNC), a base station controller (BSC), a base transceiver station (BTS), a baseband unit (BBU), a mobile switching center, a base station in a sixth generation mobile communication standard (6G) communication system, an open base station (Open RAN), a cloud base station (Cloud RAN), a base station in other communication systems, and at least one of an access node in a Wi-Fi system, but is not limited thereto.

In some embodiments, the technical solution of the present disclosure may be applicable to the Open RAN architecture. In this case, the interfaces between access network devices or within access network devices involved in the embodiments of the present disclosure may become internal interfaces of Open RAN, and the processes and information interactions between these internal interfaces may be implemented through software or programs.

In some embodiments, the access network device may be composed of a centralized unit (central unit, CU) and a distributed unit (distributed unit, DU), wherein the CU may also be called a control unit (control unit). The CU-DU structure may be used to split the protocol layer of the access network device, with some functions of the protocol layer being centrally controlled by the CU, and the remaining part or all of the functions of the protocol layer being distributed in the DU, and the DU being centrally controlled by the CU, but not limited to this.

In some embodiments, the core network device may be a device including one or more network elements, or may be multiple devices or device groups, each including all or part of the one or more network elements. The network element may be virtual or physical. The core network includes, for example, the Evolved Packet Core (EPC), the 5G Core Network (5GCN), the Next Generation Core (NGCN), and the 5G Core Network (5GCN). At least one of (Next Generation Core, NGC).

In some embodiments, the core network device may be a device including a first network element, a second network element, etc., or may be a plurality of devices or a group of devices including all or part of the first network element, the second network element, etc. The network element may be virtual or physical. The core network may include, for example, at least one of an Evolved Packet Core (EPC), a 5G Core Network (5GCN), and a Next Generation Core (NGC).

In some embodiments, the first network element is, for example, a policy control function (PCF).

In some embodiments, the first network element is used to "support a unified policy framework to manage network behavior, provide policy rules to network entities for implementation, and access subscription information of a unified data repository (UDR)", and the name is not limited to this.

In some embodiments, the second network element is, for example, a unified data management function (UDM).

In some embodiments, the second network element is used to "be responsible for the management of user identification, subscription data, authentication data, and service network element registration management of the user", and the name is not limited to this.

In some embodiments, the third network element is, for example, an authentication service function (Authentication Service Function, AUSF).

In some embodiments, the third network element is used to "receive a request from an access and mobility management function (AMF) to authenticate the terminal, request a key from the UDM, and then forward the key issued by the UDM to the AMF for authentication processing", and the name is not limited to this.

In some embodiments, the third network element may be independent of the core network device.

In some embodiments, the third network element may be part of a core network device.

It can be understood that the communication system described in the embodiment of the present disclosure is for the purpose of more clearly illustrating the technical solution of the embodiment of the present disclosure, and does not constitute a limitation on the technical solution proposed in the embodiment of the present disclosure. A person of ordinary skill in the art can know that with the evolution of the system architecture and the emergence of new business scenarios, the technical solution proposed in the embodiment of the present disclosure is also applicable to similar technical problems.

The following embodiments of the present disclosure may be applied to the communication system 100 shown in FIG1 , or part of the subject, but are not limited thereto. The subjects shown in FIG1 are examples, and the communication system may include all or part of the subjects in FIG1 , or may include other subjects other than FIG1 , and the number and form of the subjects are arbitrary, and the subjects may be physical or virtual, and the connection relationship between the subjects is an example, and the subjects may be connected or disconnected, and the connection may be in any manner, and may be a direct connection or an indirect connection, and may be a wired connection or a wireless connection.

The embodiments of the present disclosure may be applied to Long Term Evolution (LTE), LTE-Advanced (LTE-A), LTE-Beyond (LTE-B), SUPER 3G, IMT-Advanced, the fourth generation mobile communication system (4G), the fifth generation mobile communication system (5G), 5G new radio (NR), Future Radio Access (FRA), New-Radio Access Technology (RAT), New Radio (NR), New radio access (NX), Future generation radio access ... The present invention relates to wireless communication systems such as LTE, Wi-Fi (X), Global System for Mobile communications (GSM (registered trademark)), CDMA2000, Ultra Mobile Broadband (UMB), IEEE 802.11 (Wi-Fi (registered trademark)), IEEE 802.16 (WiMAX (registered trademark)), IEEE 802.20, Ultra-WideBand (UWB), Bluetooth (registered trademark), Public Land Mobile Network (PLMN) network, Device to Device (D2D) system, Machine to Machine (M2M) system, Internet of Things (IoT) system, Vehicle to Everything (V2X), systems using other communication methods, and next-generation systems expanded based on them. In addition, a combination of multiple systems (for example, a combination of LTE or LTE-A with 5G, etc.) may also be applied.

In the communication system, the widespread application of the fifth generation mobile communication technology (5th Generation Mobile Communication Technology, 5G) technology has brought great changes to all aspects of people's lives. According to the vision of the International Telecommunication Union (ITU), 5G will penetrate into all areas of the future society and build a comprehensive information ecosystem with users as the center. Among them, for example, the 5G user experience rate can reach 100Mbit/s to 1Gbit/s, which can support extreme business experiences such as mobile virtual reality (VR). For example, the 5G peak rate can reach 10Gbit/s~20Gbit/s, and the traffic density can reach 10Mbit/s/ ^m2 , which can support the growth of more than a thousand times of mobile business traffic in the future. For example, the 5G connection density can reach 1 million/ ^m2 , which can effectively support a large number of IoT devices. For example, the 5G transmission delay can reach milliseconds, which can meet the stringent requirements of the Internet of Vehicles and industrial control. For example, 5G can support 500km/h Mobile speed can provide a good user experience in the high-speed rail environment. It can be seen that 5G, as a representative of new infrastructure, will rebuild the future information society.

In recent years, AI technology has made continuous breakthroughs in many fields. The continuous development of intelligent voice, computer vision and other fields has not only brought a variety of rich and colorful applications to smart terminals, but also been widely used in education, transportation, home, medical care, retail, security and other fields, bringing convenience to people's lives while promoting industrial upgrading in various industries. AI technology is also accelerating its cross-penetration with other disciplines. While its development integrates knowledge from different disciplines, it also provides new directions and methods for the development of different disciplines.

In the 3rd Generation Partnership Project (3GPP) Release 18 phase, a research project on artificial intelligence technology in wireless air interface was established in the radio access network RAN1. The project aims to study how to introduce artificial intelligence technology in the wireless air interface, and explore how artificial intelligence technology can assist in improving the transmission technology of the wireless air interface.

In wireless AI research, the application cases of artificial intelligence include at least one of the following:

AI-based channel state information (CSI) enhancement;

AI-based beam management;

AI-based positioning.

Optionally, in an embodiment of the present disclosure, for example, multiple positioning common messages related to positioning may be defined, as shown in Table 1. Table 1 shows the mapping relationship between the positioning system message type (posSibType) and the assistance data element (assistanceDataElement).

Table 1

The following describes in detail a message sending method, apparatus, device and storage medium provided by an embodiment of the present disclosure with reference to the accompanying drawings.

FIG. 2 is an interactive schematic diagram of a message sending method provided by an embodiment of the present disclosure. As shown in FIG. 2 , the method may include the following steps:

Step S2101, the positioning server 103 sends configuration information to the network device 102;

Step S2102, the network device 102 maps the configuration information to a corresponding information field in a system message SIB related to artificial intelligence AI positioning;

Step S2103, the network device 102 sends a system message SIB related to artificial intelligence AI positioning to the terminal 101, wherein the system message includes configuration information for performing AI positioning based on at least one of the terminal and the network device;

Step S2104, the terminal 101 receives a system message SIB related to artificial intelligence AI positioning sent by the network device 102;

Step S2105: Terminal 101 performs an AI-based positioning operation corresponding to the configuration information.

In some embodiments, the names of information, etc. are not limited to the names recorded in the embodiments, and terms such as "information", "message", "signal", "signaling", "report", "configuration", "indication", "instruction", "command", "channel", "parameter", "domain", "field", "symbol", "symbol", "code element", "codebook", "codeword", "codepoint", "bit", "data", "program", and "chip" can be used interchangeably.

In some embodiments, "obtain", "obtain", "get", "receive", "transmit", "bidirectional transmission", "send and/or receive" can be interchangeable, and can be interpreted as receiving from other entities, obtaining from protocols, obtaining from high levels, obtaining by self-processing, autonomous implementation, etc.

Optionally, in one embodiment of the present disclosure, the system message SIB related to artificial intelligence AI positioning may be, for example, a positioning common message, which may be, for example, a positioning common message related to positioning, which may be the same for all terminals.

Optionally, in one embodiment of the present disclosure, the terminal 101 performs an AI-based positioning operation corresponding to the configuration information, for example, the terminal 101 performs an AI-based positioning inference according to the configuration information. For example, the terminal 101 itself can perform an AI-based positioning operation, or the terminal 101 can assist the network device 102 in performing an AI-based positioning operation.

Optionally, in an embodiment of the present disclosure, the configuration information is used to indicate support for at least one of the following positioning methods:

AI-based direct positioning method;

AI-based arrival time ToA prediction method;

AI-based direct path LOS classification or indirect path NLOS classification method.

Optionally, in one embodiment of the present disclosure, the configuration information used to indicate support for an AI-based direct positioning method may be, for example, an AI-based positioning method supported by a cell, and the cell may be, for example, a cell that sends a positioning public message. The cell may be, for example, a cell that sends a system message SIB related to artificial intelligence AI positioning.

Optionally, in an embodiment of the present disclosure, the configuration information is used to indicate support for an AI-based direct positioning method. The AI-based direct positioning method can, for example, use an AI model to directly infer positioning coordinates.

Optionally, in an embodiment of the present disclosure, the configuration information is used to indicate support for an AI-based arrival time ToA prediction method. The AI-based arrival time ToA prediction method can, for example, use an AI model to infer the arrival time of a signal.

Optionally, in one embodiment of the present disclosure, the configuration information is used to indicate support for an AI-based direct path LOS classification or an indirect path NLOS classification method. The AI-based direct path LOS classification or indirect path NLOS classification method can, for example, use an AI model to determine whether the arrival path is LOS or NLOS.

Optionally, in an embodiment of the present disclosure, the configuration information includes at least one of the following:

Data information sent by the terminal;

Configuration information of a channel sounding reference signal SRS sent by the terminal;

Configuration information of the positioning reference signal PRS sent by the network device.

Optionally, in an embodiment of the present disclosure, the data information includes at least one of the following:

Data type;

The dimension corresponding to the data type.

Optionally, in an embodiment of the present disclosure, the data type includes at least one of the following:

Reference signal received power RSRP;

Channel impulse response;

Power distribution information.

Optionally, in one embodiment of the present disclosure, the terminal 101 may, for example, perform an AI-based positioning operation according to the received configuration information. The configuration information may, for example, include configuration information of a positioning reference signal PRS sent by the network device 102. The terminal 101 may, for example, perform an AI-based positioning operation using an AI-based direct positioning method according to the configuration information of the positioning reference signal PRS sent by the network device 102.

Optionally, in an embodiment of the present disclosure, the terminal 101 may, for example, perform an AI-based positioning operation using an AI-based arrival time ToA prediction method according to the configuration information of the positioning reference signal PRS sent by the network device 102.

Optionally, in one embodiment of the present disclosure, the terminal 101 may, for example, perform AI-based positioning operations using an AI-based direct path LOS classification or an indirect path NLOS classification method according to the configuration information of the positioning reference signal PRS sent by the network device 102.

Optionally, in one embodiment of the present disclosure, when the network device 102 performs a positioning operation of the AI-based direct positioning method, the network device 102 may send a positioning-related system message SIB to the terminal 101, and the configuration information included in the positioning-related system message SIB may include, for example, data information sent by the terminal 101. For example, the terminal 101 may send data information to the network device 102 according to the received configuration information, so that the network device 102 performs an AI-based positioning operation using the AI-based direct positioning method according to the data information.

Optionally, optionally, in one embodiment of the present disclosure, when the network device 102 performs a positioning operation of the AI-based direct positioning method, the network device 102 may send a positioning-related system message SIB to the terminal 101, and the configuration information included in the positioning-related system message SIB may include, for example, configuration information of a channel sounding reference signal SRS sent by the terminal 101. For example, the terminal 101 may send a channel sounding reference signal SRS to the network device 102 according to the received configuration information, so that the network device 102 performs an AI-based positioning operation using an AI-based direct positioning method according to the channel sounding reference signal SRS.

Optionally, in one embodiment of the present disclosure, the terminal 101 may, for example, adopt an AI-based arrival time ToA prediction method to perform AI-based positioning operations, and the positioning-related system message SIB received by the terminal 101 and sent by the network device 102 may, for example, include configuration information related to ToA.

Optionally, in one embodiment of the present disclosure, the terminal 101 may, for example, use an AI-based direct path LOS classification or a non-direct path NLOS classification method to perform an AI-based positioning operation, and the terminal 101 receives a positioning-related system message sent by the network device 102. The SIB may include, for example, configuration information related to LOS classification or NLOS classification.

Optionally, in one embodiment of the present disclosure, the system message related to AI positioning includes at least one type of positioning system message, wherein different posSibs may include different information, for example, the specific information included may be prompted in the information header of posSib.

Optionally, in an embodiment of the present disclosure, different positioning system message types correspond to different AI-based positioning methods. Different positioning system message types correspond to different assistance data elements assistanceDataElement, which may be specifically shown in Table 2, for example.

Table 2

Optionally, in one embodiment of the present disclosure, the positioning system message type (posSibType) corresponding to the direct positioning method based on artificial intelligence may be, for example, posSibType7-1, wherein the auxiliary data element corresponding to posSibType7-1 may be, for example, direct AI positioning configuration information;

The posSibType corresponding to the artificial intelligence-based ToA prediction method may be, for example, posSibType7-2, wherein the auxiliary data element corresponding to posSibType7-2 may be, for example, artificial intelligence-based ToA prediction configuration information;

The posSibType corresponding to the artificial intelligence-based LOS or NLOS indication method may be, for example, posSibType7-3, wherein the auxiliary data element corresponding to posSibType7-3 may be, for example, artificial intelligence-based LOS/NLOS configuration information.

Optionally, in an embodiment of the present disclosure, multiple positioning system message types correspond to the same AI-based positioning method. Different positioning system message types correspond to different assistance data elements assistanceDataElement, as shown in Table 3.

Table 3

Optionally, in an embodiment of the present disclosure, the positioning system message type corresponding to the direct positioning method based on artificial intelligence may be, for example, posSibType7-1, wherein the auxiliary data element corresponding to posSibType7-1 may be, for example, channel impulse response CIR configuration information;

The positioning system message type corresponding to the direct positioning method based on artificial intelligence may be, for example, posSibType7-2, wherein the auxiliary data element corresponding to posSibType7-2 may be, for example, power delay profile (PDP) configuration information;

The positioning system message type corresponding to the direct positioning method based on artificial intelligence may be, for example, posSibType7-3, wherein the auxiliary data element corresponding to posSibType7-3 may be, for example, the propagation delay (Decentralized Periphery, DP) configuration information.

Optionally, in one embodiment of the present disclosure, one positioning message type corresponds to multiple different AI-based positioning methods.

Step S2106, the terminal 101 uses random access resources to send a system message SIB to the network device 102;

Step S2107, the network device 102 receives a system message SIB sent by the terminal 101 using random access resources;

In step S2108 , the network device 102 sends a system message related to artificial intelligence AI positioning corresponding to the system message SIB to the terminal 101 .

Optionally, in an embodiment of the present disclosure, the terminal 101 may, for example, use a specific random access resource to send a system message SIB to the network device 102 .

Optionally, in one embodiment of the present disclosure, the network device 102 receives a system message SIB sent by the terminal 101 using a specific random access resource.

In some embodiments, terms such as "send", "transmit", "report", "send", "transmit", "bidirectional transmission", "send and/or receive" can be used interchangeably.

In some embodiments, terms such as "certain", "preset", "preset", "set", "indicated", "some", "any", and "first" can be interchangeable, and "specific A", "preset A", "preset A", "set A", "indicated A", "some A", "any A", and "first A" can be interpreted as A pre-defined in a protocol, etc., or as A obtained through setting, configuration, or indication, etc., and can also be interpreted as specific A, some A, any A, or first A, etc., but is not limited to this.

Step S2109 : The network device 102 periodically sends at least one SIB in the positioning-related system message SIB to the terminal 101 .

Step S2110: The terminal 101 periodically receives at least one SIB in the system message SIB related to AI positioning sent by the network device.

Step S2111: the network device 102 sends SIB1 to the terminal 101, wherein SIB1 carries time information for sending at least one SIB.

Step S2112: Terminal 101 receives SIB1 sent by network device 102, wherein SIB1 carries time information for sending at least one SIB.

The communication method involved in the embodiment of the present disclosure may include at least one of steps S2101 to S2112. For example, step S2101 may be implemented as an independent embodiment, step S2105 may be implemented as an independent embodiment, steps S2101 to S2105 may be implemented as independent embodiments, and steps S2105 to S2107 may be implemented as independent embodiments, but are not limited thereto.

In some embodiments, steps S2109 and 2111 may be executed in an order swapped or simultaneously, and steps S2110 and 2112 may be executed in an order swapped or simultaneously.

In some embodiments, steps S5106 to S5112 are optional, and one or more of these steps may be omitted or replaced in different embodiments.

In some embodiments, reference may be made to other optional implementations recorded before or after the description corresponding to FIG. 2 .

FIG3A is a flow chart of a message sending method according to an embodiment of the present disclosure. As shown in FIG3A , the present disclosure embodiment relates to a message sending method, and the method includes:

Step S3101: Send a system message SIB related to artificial intelligence AI positioning to the terminal, wherein the system message includes configuration information for AI-based positioning of at least one of the terminal and the network device.

Optionally, in an embodiment of the present disclosure, the execution subject of the embodiment of the present disclosure may be, for example, a network device, which may be, for example, a base station.

Optionally, in one embodiment of the present disclosure, before sending a system message SIB related to artificial intelligence AI positioning to the terminal, there may be a defined system message SIB related to artificial intelligence AI positioning in the network device.

Optionally, in an embodiment of the present disclosure, the configuration information is used to indicate support for at least one of the following positioning methods:

AI-based direct positioning method;

AI-based arrival time ToA prediction method;

AI-based direct path LOS classification or indirect path NLOS classification method.

Optionally, in an embodiment of the present disclosure, the configuration information includes at least one of the following:

Data information sent by the terminal;

Configuration information of a channel sounding reference signal SRS sent by the terminal;

Configuration information of the positioning reference signal PRS sent by the network device.

Optionally, in an embodiment of the present disclosure, the data information includes at least one of the following:

Data type;

The dimension corresponding to the data type.

Optionally, in an embodiment of the present disclosure, the data type includes at least one of the following:

Reference signal received power RSRP;

Channel impulse response;

Power distribution information.

Optionally, in an embodiment of the present disclosure, the system message related to AI positioning includes at least one positioning system message type.

Optionally, in one embodiment of the present disclosure, different positioning system message types correspond to different AI-based positioning methods.

Optionally, in one embodiment of the present disclosure, multiple positioning system message types correspond to the same AI-based positioning method.

Optionally, in one embodiment of the present disclosure, one positioning message type corresponds to multiple different AI-based positioning methods.

The optional implementation of step S3101 can refer to the optional implementation of steps S2101-2105 in Figure 2 and other related parts in the embodiment involved in Figure 2, which will not be repeated here.

Step S3102, receiving configuration information sent by the positioning server;

Step S3103: Map the configuration information to the corresponding information field in the system message.

The optional implementation of steps S3102-3103 can refer to the optional implementation of steps S2101-2105 in Figure 2 and other related parts in the embodiment involved in Figure 2, which will not be repeated here.

Step S3104, receiving a system message SIB sent by the terminal using random access resources;

Step S3105: Send a system message related to artificial intelligence AI positioning corresponding to the system message SIB to the terminal.

The optional implementation of steps S3101-3103 can refer to the optional implementation of steps S2106-2108 in Figure 2 and other related parts in the embodiment involved in Figure 2, which will not be repeated here.

Step S3106: periodically send at least one SIB in the positioning-related system message SIB to the terminal.

The optional implementation of step S3106 can refer to the optional implementation of step S2109 in FIG. 2 and other related parts in the embodiment involved in FIG. 2 , which will not be described in detail here.

Step S3107: Send SIB1 to the terminal, where SIB1 carries time information for sending at least one SIB.

The optional implementation of step S3107 can refer to the optional implementation of step S2111 in FIG. 2 and other related parts in the embodiment involved in FIG. 2 , which will not be described in detail here.

The communication method involved in the embodiment of the present disclosure may include at least one of steps S3101 to S3107. For example, step S3101 may be implemented as an independent embodiment, step S3106 may be implemented as an independent embodiment, steps S3102 to S3103 may be implemented as independent embodiments, and steps S3106 to S3107 may be implemented as independent embodiments, but are not limited thereto.

In some embodiments, step S3106 and step S3107 may be executed in an order swapped or simultaneously, and step S3105 and step S3106 may be executed in an order swapped or simultaneously.

In some embodiments, steps S3102 to S3107 are optional, and one or more of these steps may be omitted or replaced in different embodiments.

In some embodiments, reference may be made to other optional implementations recorded before or after the description corresponding to FIG. 2 .

FIG3B is a flow chart of a message sending method according to an embodiment of the present disclosure. As shown in FIG3B , the embodiment of the present disclosure relates to a message sending method, and the method includes:

Step S3201, receiving configuration information sent by the positioning server;

Step S3202, mapping the configuration information to the corresponding information field in the system message;

Step S3203: periodically send at least one SIB in the AI-based positioning-related system message SIB to the terminal.

The optional implementation of steps S3201-3203 can refer to the optional implementation of steps S2101-2105 and step S2109 in Figure 2, and other related parts in the embodiment involved in Figure 2, which will not be repeated here.

The communication method involved in the embodiment of the present disclosure may include at least one of steps S3201 to S3203. For example, step S3201 It can be implemented as an independent embodiment, step S3202 can be implemented as an independent embodiment, and step S3201 and step S3202 can be implemented as independent embodiments, but are not limited thereto.

In some embodiments, step S3202 is optional, and one or more of these steps may be omitted or replaced in different embodiments.

In the embodiment of the present disclosure, step S3201 and step S3202 may be combined with step S2109 of FIG. 2 , and step S3201 and step S3202 may be combined with step S3106 of FIG. 3A .

FIG3C is a flow chart of a message sending method according to an embodiment of the present disclosure. As shown in FIG3C , the embodiment of the present disclosure relates to a message sending method, and the method includes:

Step S3301, receiving configuration information sent by the positioning server;

Step S3302, mapping the configuration information to the corresponding information field in the system message;

Step S3303, receiving a system message SIB sent by the terminal using random access resources;

Step S3304: Send a system message related to artificial intelligence AI positioning corresponding to the system message SIB to the terminal.

The optional implementation of steps S3301-3304 can refer to steps S2101-2105 of Figure 2, the optional implementation of step S6119 of Figure 3A, and other related parts in the embodiments involved in Figures 2 and 3A, which will not be repeated here.

The communication method involved in the embodiment of the present disclosure may include at least one of steps S3301 to S3304. For example, step S6301 may be implemented as an independent embodiment, step S3304 may be implemented as an independent embodiment, and steps S3303 and S3304 may be implemented as independent embodiments, but are not limited thereto.

In some embodiments, steps S3302 to S3304 are optional, and one or more of these steps may be omitted or replaced in different embodiments.

FIG4A is a flow chart of a message sending method according to an embodiment of the present disclosure. As shown in FIG4A , the present disclosure embodiment relates to a message sending method, and the method includes:

Step S4101, receiving a system message SIB related to artificial intelligence AI positioning sent by a network device, wherein the system message includes configuration information for performing AI-based positioning on at least one of a terminal and a network device;

Step S4102, executing an AI-based positioning operation corresponding to the configuration information.

In one embodiment of the present disclosure, its optional implementation method can refer to the optional implementation method of steps S2101 to S2105 of Figure 2, and other related parts in the embodiment involved in Figure 2, which will not be repeated here.

Optionally, in an embodiment of the present disclosure, the configuration information is used to indicate support for at least one of the following positioning methods:

AI-based direct positioning method;

AI-based arrival time ToA prediction method;

AI-based direct path LOS classification or indirect path NLOS classification method.

Optionally, in an embodiment of the present disclosure, the configuration information includes at least one of the following:

Data information sent by the terminal;

Configuration information of a channel sounding reference signal SRS sent by the terminal;

Configuration information of the positioning reference signal PRS sent by the network device.

Optionally, in an embodiment of the present disclosure, the data information includes at least one of the following:

Data type;

The dimension corresponding to the data type.

Optionally, in an embodiment of the present disclosure, the data type includes at least one of the following:

Reference signal received power RSRP;

Channel impulse response;

Power distribution information.

Optionally, in an embodiment of the present disclosure, the system message related to AI positioning includes at least one positioning system message type.

Optionally, in one embodiment of the present disclosure, different positioning system message types correspond to different AI-based positioning methods.

Optionally, in one embodiment of the present disclosure, multiple positioning system message types correspond to the same AI-based positioning method.

Optionally, in one embodiment of the present disclosure, one positioning message type corresponds to multiple different AI-based positioning methods.

Step S4103: periodically receive at least one SIB in the system message SIB related to AI positioning sent by the network device.

The optional implementation of step S4103 can refer to the optional implementation of step S2110 in FIG. 2 and other related parts in the embodiment involved in FIG. 2 , which will not be described in detail here.

Step S4104: Receive SIB1 sent by the network device, where SIB1 carries time information for sending at least one SIB.

The optional implementation of step S4104 can refer to the optional implementation of step S2112 in FIG. 2 and other related parts in the embodiment involved in FIG. 2 , which will not be described in detail here.

Step S4105, using random access resources to send a system message SIB to a network device;

Step S4106: Receive SIB information sent by the network device for the system message SIB.

The optional implementation of step S4105-step S4106 can refer to the optional implementation of step S2106-step S2108 in Figure 2, and other related parts in the embodiment involved in Figure 2, which will not be repeated here.

The communication method involved in the embodiment of the present disclosure may include at least one of steps S4101 to S4106. For example, step S4101 may be implemented as an independent embodiment, step S4102 may be implemented as an independent embodiment, and step S4101+step S4102 may be implemented as independent embodiments, but are not limited thereto.

In some embodiments, steps S4103 and 4104 may be executed in an interchangeable order or simultaneously.

In some embodiments, steps S4102 to S4106 are optional, and one or more of these steps may be omitted or replaced in different embodiments.

FIG5A is a flow chart of a message sending method according to an embodiment of the present disclosure. As shown in FIG5A , the present disclosure embodiment relates to a message sending method, and the method includes:

Step S5101: Send configuration information to a network device, wherein the configuration information is used to instruct the network device to map the configuration information to a corresponding information field in a system message SIB related to artificial intelligence (AI) positioning.

The communication method involved in the embodiment of the present disclosure may include at least one of step S5101. For example, step S5101 can be implemented as an independent embodiment. Its optional implementation method can refer to the optional implementation method of steps S2101 to S2105 in Figure 2, and other related parts of the embodiment involved in Figure 2, which will not be repeated here.

FIG6A is a flow chart of a message sending method according to an embodiment of the present disclosure. As shown in FIG6A , the embodiment of the present disclosure relates to a message sending method, and the method includes:

Step S6101, defines system messages related to positioning based on artificial intelligence (AI). The system messages related to positioning include configuration information for AI-based positioning on the terminal side or the network side.

Optionally, in an embodiment of the present disclosure, the configuration information includes at least one of the following:

AI-based positioning methods supported in the cell, such as AI-based direct positioning, i.e. using the AI model to directly infer positioning coordinates, AI-based time of arrival (ToA) prediction, i.e. using the AI model to infer the arrival time of the signal, AI-based line of sight (LOS) classification or non line of sight (NLOS) classification, i.e. using the AI model to determine whether the arrival path is LOS or NLOS, etc.;

When the network side performs AI-based reasoning, the data information required to be reported by the terminal may include, for example, data types, including reference signal receiving power (RSRP), channel impulse response, power distribution information, and, for example, dimensions corresponding to the data type;

The configuration information of the channel sounding reference signal (SRS) sent by the terminal when the network side performs AI-based reasoning. Or the configuration information of the positioning reference signal (PRS) that the network side can send when the terminal side performs AI reasoning.

Step S6102: Different positioning system message types posSibType may be defined for different AI-based positioning methods. See Table 2 for details.

Step S6103: Based on the same positioning method, multiple posSibTypes may be defined, see Table 3 for details.

Optionally, in an embodiment of the present disclosure, the specific configuration of the information field in the system message may be performed by, for example, a positioning server, and the positioning server may send these related configurations to the corresponding base station. The base station may then map these specific information into the corresponding system message.

In step S6104, at least one of the system messages (System Information Block, SIB) related to AI positioning can be sent periodically, and the time information of its sending can be indicated in SIB1.

In step S6105, at least one of the SIBs related to AI positioning may be sent based on a terminal request. That is, when the terminal needs to read the corresponding SIB information, the terminal can use a specific random access resource to request the network to send the SIB containing the AI positioning information that it wants to read. When the network side receives the terminal information, the network side can send the requested SIB information.

The communication method involved in the embodiment of the present disclosure may include at least one of steps S6101 to S6105. For example, step S6101 may be implemented as an independent embodiment, step S6102 may be implemented as an independent embodiment, and step S6102 and step S6105 may be implemented as independent embodiments, but are not limited thereto.

In some embodiments, step S6102 and step S6103 may be executed in an exchanged order or simultaneously, and step S6102 and step S6105 may be executed in an exchanged order or simultaneously.

In some embodiments, steps S6102 to S6105 are optional, and one or more of these steps may be omitted or replaced in different embodiments.

In some embodiments, steps S6103 to S6105 are optional, and one or more of these steps may be omitted or replaced in different embodiments.

In the embodiments of the present disclosure, part or all of the steps and their optional implementations may be arbitrarily combined with part or all of the steps in other embodiments, or may be arbitrarily combined with optional implementations of other embodiments.

The embodiments of the present disclosure also propose a device for implementing any of the above methods, for example, a device is proposed, the above device includes a unit or module for implementing each step performed by the terminal in any of the above methods. For another example, another device is also proposed, including a unit or module for implementing each step performed by a network device (such as an access network device, a core network function node, a core network device, etc.) in any of the above methods.

It should be understood that the division of the units or modules in the above device is only a division of logical functions, which can be fully or partially integrated into one physical entity or physically separated in actual implementation. In addition, the units or modules in the device can be implemented in the form of a processor calling software: for example, the device includes a processor, the processor is connected to a memory, and instructions are stored in the memory. The processor calls the instructions stored in the memory to implement any of the above methods or implement the functions of the units or modules of the above device, wherein the processor is, for example, a general-purpose processor, such as a central processing unit (CPU) or a microprocessor, and the memory is a memory inside the device or a memory outside the device. Alternatively, the units or modules in the device may be implemented in the form of hardware circuits, and the functions of some or all of the units or modules may be implemented by designing the hardware circuits. The hardware circuits may be understood as one or more processors; for example, in one implementation, the hardware circuits are application-specific integrated circuits (ASICs), and the functions of some or all of the above units or modules may be implemented by designing the logical relationship of the components in the circuits; for another example, in another implementation, the hardware circuits may be implemented by programmable logic devices (PLDs), and Field Programmable Gate Arrays (FPGAs) may be used as an example, which may include a large number of logic gate circuits, and the connection relationship between the logic gate circuits may be configured by configuring the configuration files, thereby implementing the functions of some or all of the above units or modules. All units or modules of the above devices may be implemented in the form of software called by the processor, or in the form of hardware circuits, or in the form of software called by the processor, and the remaining part may be implemented in the form of hardware circuits.

In the embodiments of the present disclosure, the processor is a circuit with signal processing capability. In one implementation, the processor may be a circuit with instruction reading and execution capability, such as a central processing unit (CPU), a microprocessor, a graphics processing unit (GPU) (which may be understood as a microprocessor), or a digital signal processor (DSP), etc.; in another implementation, the processor may implement certain functions through the logical relationship of the hardware circuit, and the logical relationship of the above hardware circuit is fixed or reconfigurable, such as a processor that is a hardware circuit implemented by an application-specific integrated circuit (ASIC) or a programmable logic device (PLD), such as an FPGA. In a reconfigurable hardware circuit, the process of the processor loading a configuration document to implement the hardware circuit configuration can be understood as the process of the processor loading instructions to implement the functions of some or all of the above units or modules. In addition, it can also be for artificial intelligence. The designed hardware circuit can be understood as ASIC, such as Neural Network Processing Unit (NPU), Tensor Processing Unit (TPU), Deep Learning Processing Unit (DPU), etc.

Figure 7A is a schematic diagram of the structure of the terminal proposed in an embodiment of the present disclosure. As shown in Figure 7A, the network device 7100 may include: a transceiver module 7101. In some embodiments, the transceiver module 7101 is used to send a system message SIB related to artificial intelligence AI positioning to at least one of the terminal and the network device, wherein the system message includes configuration information for AI positioning based on at least one of the terminal and the network device. Optionally, the transceiver module is used to execute at least one of the communication steps such as sending and/or receiving performed by the network device 102 in any of the above methods (for example, step 2102, step 2103, step 2107, step S2108, step S2109, step S2111, but not limited to this), which will not be repeated here.

FIG7B is a schematic diagram of the structure of the terminal proposed in an embodiment of the present disclosure. As shown in FIG7B, the terminal 7200 may include: at least one of a transceiver module 7201 and a processing module 7202. The transceiver module 7201 is used to receive a system message SIB related to artificial intelligence AI positioning sent by a network device, wherein the system message includes configuration information for the terminal to perform AI-based positioning; the processing module 7202 is used to perform an AI-based positioning operation corresponding to the configuration information. Optionally, the transceiver module is used to perform at least one of the communication steps such as sending and/or receiving performed by the network device 102 in any of the above methods (for example, step S2104, step S2106, step S2110, step S2112, but not limited thereto), which will not be repeated here. Optionally, the processing module 7202 is used to perform at least one of the communication steps such as sending and/or receiving performed by the network device 102 in any of the above methods (for example, step S2105, but not limited thereto), which will not be repeated here.

Figure 7C is a schematic diagram of the structure of the positioning server proposed in an embodiment of the present disclosure. As shown in Figure 7C, the positioning server 7300 may include: a transceiver module 7301. In some embodiments, the above-mentioned transceiver module 7301 is used to send configuration information to a network device, wherein the configuration information is used to instruct the network device to map the configuration information to a corresponding information domain in a system message SIB related to artificial intelligence AI positioning. Optionally, the above-mentioned transceiver module is used to execute at least one of the communication steps such as sending and/or receiving performed by the positioning server 103 in any of the above methods (for example, step S2101, but not limited to this), which will not be repeated here.

In some embodiments, the transceiver module may include a sending module and/or a receiving module, and the sending module and the receiving module may be separate or integrated. Optionally, the transceiver module may be interchangeable with the transceiver.

In some embodiments, the processing module can be a module or include multiple submodules. Optionally, the multiple submodules respectively execute all or part of the steps required to be executed by the processing module. Optionally, the processing module can be replaced with the processor.

FIG8A is a schematic diagram of the structure of a communication device 8100 proposed in an embodiment of the present disclosure. The communication device 8100 may be a network device (e.g., an access network device, a core network device, etc.), or a terminal (e.g., a user device, etc.), or a chip, a chip system, or a processor that supports a network device to implement any of the above methods, or a chip, a chip system, or a processor that supports a terminal to implement any of the above methods. The communication device 8100 may be used to implement the method described in the above method embodiment, and the details may refer to the description in the above method embodiment.

As shown in FIG8A , the communication device 8100 includes one or more processors 8101. The processor 8101 may be a general-purpose processor or a dedicated processor, for example, a baseband processor or a central processing unit. The baseband processor may be used to process the communication protocol and the communication data, and the central processing unit may be used to control the communication device (such as a base station, a baseband chip, a terminal device, a terminal device chip, a DU or a CU, etc.), execute a program, and process the data of the program. The communication device 8100 is used to execute any of the above methods.

In some embodiments, the communication device 8100 further includes one or more memories 8102 for storing instructions. Optionally, all or part of the memory 8102 may also be outside the communication device 8100.

In some embodiments, the communication device 8100 further includes one or more transceivers 8103. When the communication device 8100 includes one or more transceivers 8103, the transceiver 8103 performs at least one of the communication steps such as sending and/or receiving in the above method (for example, step 2102, step 2103, step S2104, step S2106, step 2107, step S2108, step S2109, step S2111, step S2110, step S2112, but not limited thereto), and the processor 8101 performs at least one of the other steps (for example, step S2105, but not limited thereto).

In some embodiments, the transceiver may include a receiver and/or a transmitter. The receiver and the transmitter may be separate or may be combined. Optionally, the terms such as transceiver, transceiver unit, transceiver, transceiver circuit, etc. can be replaced with each other, the terms such as transmitter, transmission unit, transmitter, transmission circuit, etc. can be replaced with each other, and the terms such as receiver, receiving unit, receiver, receiving circuit, etc. can be replaced with each other.

In some embodiments, the communication device 8100 may include one or more interface circuits 8104. Optionally, the interface circuit 8104 is connected to the memory 8102, and the interface circuit 8104 may be used to receive signals from the memory 8102 or other devices, and may be used to send signals to the memory 8102 or other devices. For example, the interface circuit 8104 may read instructions stored in the memory 8102 and send the instructions to the processor 8101.

The communication device 8100 described in the above embodiments may be a network device or a terminal, but the scope of the communication device 8100 described in the present disclosure is not limited thereto, and the structure of the communication device 8100 may not be limited by FIG. 8A. The communication device may be an independent device or may be part of a larger device. For example, the communication device may be: 1) an independent integrated circuit IC, or a chip, or a chip system or subsystem; (2) a collection of one or more ICs, optionally, the above IC collection may also include a storage component for storing data and programs; (3) an ASIC, such as a modem; (4) a module that can be embedded in other devices; (5) a receiver, a terminal device, an intelligent terminal device, a cellular phone, a wireless device, a handheld device, a mobile unit, a vehicle-mounted device, a network device, a cloud device, an artificial intelligence device, etc.; (6) others, etc.

8B is a schematic diagram of the structure of a chip 8200 provided in an embodiment of the present disclosure. In the case where the communication device 8100 may be a chip or a chip system, reference may be made to the schematic diagram of the structure of the chip 8200 shown in FIG8B , but the present disclosure is not limited thereto.

The chip 8200 includes one or more processors 8201, and the chip 8200 is used to execute any of the above methods.

In some embodiments, the chip 8200 further includes one or more interface circuits 8202. Optionally, the interface circuit 8202 is connected to the memory 8203. The interface circuit 8202 can be used to receive signals from the memory 8203 or other devices, and the interface circuit 8202 can be used to send signals to the memory 8203 or other devices. For example, the interface circuit 8202 can read instructions stored in the memory 8203 and send the instructions to the processor 8201.

In some embodiments, the interface circuit 8202 executes at least one of the communication steps such as sending and/or receiving in the above method (for example, step 2102, step 2103, step S2104, step S2106, step 2107, step S2108, step S2109, step S2111, step S2110, step S2112, but not limited to these), and the processor 8201 executes at least one of the other steps (for example, step S2105, but not limited to these).

In some embodiments, terms such as interface circuit, interface, transceiver pin, and transceiver may be used interchangeably.

In some embodiments, the chip 8200 further includes one or more memories 8203 for storing instructions. Optionally, all or part of the memory 8203 may be outside the chip 8200.

The present disclosure also proposes a storage medium, on which instructions are stored, and when the instructions are executed on the communication device 8100, the communication device 8100 executes any of the above methods. Optionally, the storage medium is an electronic storage medium. Optionally, the storage medium is a computer-readable storage medium, but is not limited to this, and it can also be a storage medium readable by other devices. Optionally, the storage medium can be a non-transitory storage medium, but is not limited to this, and it can also be a temporary storage medium.

The present disclosure also proposes a program product, which, when executed by the communication device 8100, enables the communication device 8100 to execute any of the above methods. Optionally, the program product is a computer program product.

The present disclosure also proposes a computer program, which, when executed on a computer, causes the computer to execute any one of the above methods.

Claims (34)

A message sending method, characterized in that the method is executed by a network device, and the method comprises: Send a system message SIB related to artificial intelligence AI positioning to the terminal, wherein the system message includes configuration information for AI-based positioning of at least one of the terminal and the network device. The method according to claim 1, wherein the configuration information is used to indicate support for at least one of the following positioning methods: AI-based direct positioning method; AI-based arrival time ToA prediction method; AI-based direct path LOS classification or indirect path NLOS classification method. The method according to claim 1, wherein the configuration information includes at least one of the following: Data information sent by the terminal; Configuration information of a channel sounding reference signal SRS sent by the terminal; Configuration information of a positioning reference signal PRS sent by the network device. The method according to claim 3, wherein the data information includes at least one of the following: Data type; The dimension corresponding to the data type. The method according to claim 4, wherein the data type includes at least one of the following: Reference signal received power RSRP; Channel impulse response; Power distribution information. The method according to any one of claims 1 to 5, characterized in that the AI positioning-related system message includes at least one positioning system message type. The method as claimed in claim 6 is characterized in that different positioning system message types correspond to different AI-based positioning methods. The method as claimed in claim 6 is characterized in that multiple positioning system message types correspond to the same AI-based positioning method. The method as claimed in claim 6 is characterized in that one positioning message type corresponds to multiple different AI-based positioning methods. The method according to any one of claims 1 to 9, characterized in that the method further comprises: Receive configuration information sent by the positioning server; The configuration information is mapped to a corresponding information field in the system message. The method according to claim 1, characterized in that the sending of a system message SIB related to artificial intelligence AI positioning to the terminal comprises: Receiving a system message SIB sent by the terminal using random access resources; Send a system message related to artificial intelligence AI positioning based on the system message SIB to the terminal. The method according to claim 1, characterized in that the sending of a system message SIB related to artificial intelligence AI positioning to the terminal comprises: Periodically sending at least one SIB in the positioning-related system message SIB to the terminal. The method according to claim 12, characterized in that the method further comprises: Sending SIB1 to the terminal, wherein the SIB1 carries time information for sending the at least one SIB. A message receiving method, characterized in that the method is executed by a terminal, and the method comprises: Receiving a system message SIB related to artificial intelligence (AI) positioning sent by a network device, wherein the system message includes configuration information for performing AI-based positioning on at least one of the terminal and the network device; Perform an AI-based positioning operation corresponding to the configuration information. The method according to claim 14, wherein the configuration information is used to indicate support for at least one of the following positioning methods: AI-based direct positioning method; AI-based arrival time ToA prediction method; AI-based direct path LOS classification or indirect path NLOS classification method. The method of claim 14, wherein the configuration information includes at least one of the following: Data information sent by the terminal; Configuration information of a channel sounding reference signal SRS sent by the terminal; Configuration information of a positioning reference signal PRS sent by the network device. The method according to claim 16, wherein the data information includes at least one of the following: Data type; The dimension corresponding to the data type. The method of claim 17, wherein the data type comprises at least one of the following: Reference signal received power RSRP; Channel impulse response; Power distribution information. The method according to any one of claims 14 to 18, characterized in that the system message related to AI positioning includes at least one positioning system message type. The method as claimed in claim 19 is characterized in that different positioning system message types correspond to different AI-based positioning methods. The method as claimed in claim 19 is characterized in that multiple positioning system message types correspond to the same AI-based positioning method. The method as claimed in claim 19 is characterized in that one positioning message type corresponds to multiple different AI-based positioning methods. The method according to any one of claims 14 to 22, characterized in that the receiving of a system message SIB related to artificial intelligence AI positioning sent by a network device comprises: Periodically receive at least one SIB in the system message SIB related to AI positioning based on the network device. The method according to claim 23, characterized in that the method further comprises: Receive SIB1 sent by the network device, wherein the SIB1 carries time information for sending the at least one SIB. The method according to any one of claims 14 to 22, characterized in that the method further comprises: Sending a system message SIB to the network device using random access resources; Receive SIB information sent by the network device for the system message SIB. A message sending method, characterized in that the method is executed by a positioning server, and the method comprises: Send configuration information to a network device, wherein the configuration information is used to instruct the network device to map the configuration information to a corresponding information field in a system message SIB related to artificial intelligence (AI) positioning. A network device, characterized in that the device comprises: A transceiver module is used to send a system message SIB related to artificial intelligence AI positioning to at least one of a terminal and a network device, wherein the system message includes configuration information for AI-based positioning of at least one of the terminal and the network device. A terminal, characterized in that the device comprises: A transceiver module, used to receive a system message SIB related to artificial intelligence AI positioning sent by a network device, wherein the system message includes configuration information for the terminal to perform AI-based positioning; A processing module is used to perform an AI-based positioning operation corresponding to the configuration information. A positioning server, characterized in that the device comprises: A transceiver module is used to send configuration information to a network device, wherein the configuration information is used to instruct the network device to map the configuration information to a corresponding information field in a system message SIB related to artificial intelligence AI positioning. A network device, comprising: one or more processors; The terminal is used to execute the message sending method according to any one of claims 1 to 13. A terminal, characterized by comprising: one or more processors; Wherein, the terminal is used to execute the message sending method described in claims 14 to 25. A positioning server, characterized in that it comprises: one or more processors; Wherein, the terminal is used to execute the message sending method described in claim 26. A communication system, characterized in that it includes a terminal, a network device and a positioning server, wherein the network device is configured to implement the message sending method described in any one of claims 1 to 13, the terminal is configured to implement the message sending method described in claims 14 to 25, and the positioning server is configured to implement the message sending method described in claim 26. A storage medium storing instructions, characterized in that when the instructions are executed on a communication device, the communication device executes the message sending method as described in any one of claims 1 to 13 or the message sending method as described in claims 14 to 25 or the message sending method as described in claim 26.