WO2024207497A1

WO2024207497A1 - Communication method, apparatus and storage medium

Info

Publication number: WO2024207497A1
Application number: PCT/CN2023/087074
Authority: WO
Inventors: 牟勤
Original assignee: 北京小米移动软件有限公司
Priority date: 2023-04-07
Filing date: 2023-04-07
Publication date: 2024-10-10

Abstract

The present disclosure relates to the technical field of communications, and relates to a communication method, an apparatus and a storage medium, which are used for improving the communication performance of terminals. The method comprises: sending first information, the first information being used for indicating an AI function supported by a terminal, and the AI function being determined on the basis of different dimensionality information.

Description

A communication method, device and storage medium

Technical Field

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

Background Art

In recent years, artificial intelligence (AI) technology has made continuous breakthroughs in many fields. Among the related technologies, AI technology is introduced into the wireless air interface to assist in improving the transmission technology of the wireless air interface. Currently, it supports the application of AI technology in the wireless air interface for communication processing, including the training of AI models and the reasoning application of models.

Summary of the invention

In order to overcome the problems existing in the related art, the present disclosure provides a communication method, device and storage medium.

According to a first aspect of an embodiment of the present disclosure, a communication method is provided, characterized in that it is executed by a terminal, and the method includes: sending first information, where the first information is used to indicate an AI function supported by the terminal, and the AI function is determined based on different dimensional information.

In some embodiments, the dimension information includes at least one of the following:

Operating frequency band;

Application scenarios;

Inputs and/or outputs of AI models;

Configuration information.

In some embodiments, each dimension information includes at least one value, and the AI function is determined based on the values under different dimension information.

In some embodiments, different AI functions correspond to different function identifiers.

In some embodiments, the AI functions supported by the terminal are determined based on second information, where the second information includes dimension information corresponding to multiple AI functions and values corresponding to the multiple AI functions in different dimension information.

In some embodiments, the first information includes function identifiers of AI functions supported by the terminal, and the function identifiers of the multiple AI functions are determined by the terminal based on dimensional information corresponding to the multiple AI functions and values corresponding to the multiple AI functions in different dimensional information.

In some embodiments, the first information includes values of the AI function supported by the terminal under different dimensional information.

In some embodiments, the first information further includes a function identifier of an AI function supported by the terminal, and the function identifier of the AI function supported by the terminal is customized and determined by the terminal.

In some embodiments, the function identifier of the AI function supported by the terminal is determined by the network device based on the value of the AI function supported by the terminal under different dimensional information.

In some embodiments, the AI function supported by the terminal is determined based on third information, and the third information is used to indicate at least one dimension information.

In some embodiments, the first information includes an AI identifier of an AI function supported by the terminal, and the function identifier of the AI function supported by the terminal is customized and determined by the terminal.

In some embodiments, the first information also includes corresponding values of the AI function supported by the terminal under other dimensional information.

According to a second aspect of an embodiment of the present disclosure, a communication method is provided, which is executed by a network device, and the method includes: receiving first information, where the first information is used to indicate an AI function supported by a terminal, and the AI function is determined based on different dimensional information.

Operating frequency band;

Application scenarios;

Inputs and/or outputs of AI models;

Configuration information.

According to a third aspect of an embodiment of the present disclosure, a communication device is provided, comprising: a sending module, used to send first information, wherein the first information is used to indicate an AI function supported by a terminal, and the AI function is determined based on different dimensional information.

Operating frequency band;

Application scenarios;

Inputs and/or outputs of AI models;

Configuration information.

According to a fourth aspect of an embodiment of the present disclosure, a communication device is provided, comprising: a receiving module, configured to receive first information, wherein the first information is used to indicate an AI function supported by a terminal, wherein the AI function is determined based on different dimensional information.

Operating frequency band;

Application scenarios;

Inputs and/or outputs of AI models;

Configuration information.

According to a fifth aspect of an embodiment of the present disclosure, a communication device is provided, comprising: a processor; a memory for storing processor executable instructions; wherein the processor is configured to: execute the communication method in the above-mentioned first aspect and its implementation methods.

According to a sixth aspect of an embodiment of the present disclosure, a communication device is provided, comprising: a processor; a memory for storing processor executable instructions; wherein the processor is configured to: execute the communication method in the above-mentioned second aspect and its implementation methods.

According to the seventh aspect of an embodiment of the present disclosure, a storage medium is provided, in which instructions are stored. When the instructions in the storage medium are executed by a processor of a terminal, the terminal is enabled to execute the communication method in the above-mentioned first aspect and its implementation methods.

According to an eighth aspect of an embodiment of the present disclosure, a storage medium is provided, in which instructions are stored. When the instructions in the storage medium are executed by a processor of a network device, the network device is enabled to execute the communication method in the above-mentioned second aspect and its implementation methods.

The technical solution provided by the embodiments of the present disclosure may include the following beneficial effects: the terminal sends the first information, and the first information indicates the AI function supported by the terminal, so that the network device and the terminal reach an agreement on the AI function supported by the terminal. In addition, different AI functions are determined based on different dimensional information, the basis for determining the AI function is clarified, and communication efficiency is improved.

It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present disclosure.

BRIEF DESCRIPTION OF THE DRAWINGS

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and, together with the description, serve to explain the principles of the present disclosure.

Fig. 1 is a schematic diagram of a wireless communication system according to an exemplary embodiment.

Fig. 2 is a flow chart showing a communication method according to an exemplary embodiment.

Fig. 3 is a flow chart showing a communication method according to an exemplary embodiment.

Fig. 4 is a block diagram showing a communication device according to an exemplary embodiment.

Fig. 5 is a block diagram showing a communication device according to an exemplary embodiment.

Fig. 6 is a block diagram showing a communication device according to an exemplary embodiment.

Fig. 7 is a block diagram showing a communication device according to an exemplary embodiment.

DETAILED DESCRIPTION

Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. Unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present disclosure.

The communication method provided by the embodiment of the present disclosure can be applied to the wireless communication system shown in Figure 1. Referring to Figure 1, the wireless communication system includes a network device and a terminal. The terminal is connected to the network device through wireless resources and performs data transmission.

It is understandable that the wireless communication system shown in FIG1 is only for schematic illustration, and the wireless communication system may also include other network devices, such as core network devices, wireless relay devices, and wireless backhaul devices, which are not shown in FIG1. The embodiments of the present disclosure do not limit the number of network devices and terminals included in the wireless communication system.

It can be further understood that the wireless communication system of the embodiment of the present disclosure is a network that provides wireless communication functions. The wireless communication system can adopt different communication technologies, such as code division multiple access (code division multiple access, CDMA), wideband code division multiple access (wideband code division multiple access, WCDMA), time division multiple access (time division multiple access, TDMA), frequency division multiple access (frequency division multiple access, FDMA), orthogonal frequency division multiple access (orthogonal frequency-division multiple access, OFDMA), single carrier frequency division multiple access (single carrier FDMA, SC-FDMA), carrier sense multiple access/collision avoidance (Carrier Sense Multiple Access with Collision Avoidance). According to the capacity, rate, delay and other factors of different networks, the network can be divided into 2G (English: generation) network, 3G network, 4G network or future evolution network, such as 5G network, 5G network can also be called new wireless network (New Radio, NR). For the convenience of description, the present disclosure sometimes simply refers to a wireless communication network as a network.

Further, the network device involved in the present disclosure may also be referred to as a wireless access network device. The wireless access network device may be: a base station, an evolved node B (base station), a home base station, an access point (AP) in a wireless fidelity (WIFI) system, a wireless relay node, a wireless backhaul node, a transmission point (TP) or a transmission and reception point (TRP), etc. It may also be a gNB in an NR system, or it may also be a component or a part of a base station. It should be understood that in the embodiments of the present disclosure, the specific technology and specific device form adopted by the network device are not limited. In the present disclosure, the network device may provide communication coverage for a specific geographical area, and may communicate with a terminal located in the coverage area (cell). In addition, when it is a vehicle-to-everything (V2X) communication system, the network device may also be a vehicle-mounted device.

Furthermore, the terminal involved in the present disclosure may also be referred to as terminal equipment, user equipment (UE), mobile station (MS), mobile terminal (MT), etc., which is a device that provides voice and/or data connectivity to users. For example, the terminal may be a handheld device or vehicle-mounted device with wireless connection function. At present, some examples of terminals are: smart phones, customer premise equipment, pocket personal computers (PPC), handheld computers, personal digital assistants (PDAs), etc. Assistant, PDA), laptop computer, tablet computer, wearable device, or vehicle-mounted device, etc. In addition, when it is a vehicle-to-everything (V2X) communication system, the terminal device can also be a vehicle-mounted device. It should be understood that the embodiments of the present disclosure do not limit the specific technology and specific device form adopted by the terminal.

In recent years, artificial intelligence (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 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 related technologies, a research project on AI technology in wireless air interface is set up in the Radio Access Network (RAN) to introduce artificial intelligence technology in the wireless air interface and assist in improving the transmission technology of the wireless air interface. In addition, the application of AI technology in the wireless air interface for communication processing is currently supported, including the training of AI models and the reasoning application of models.

In the deployment solution based on AI models, AI models may be deployed on the terminal side, but network devices need to participate in the management of AI models. Therefore, network devices and terminals need to align the relevant information of AI models. In other words, terminals need to report the AI functions they support.

In related technologies, an AI feature or machine learning feature (ML feature) may include one or more functionalities, and each functionality may be targeted at a specific application environment or application scenario.

Among them, the AI/ML feature involved in the embodiments of the present disclosure may be an AI/ML use case, for example, the AI/ML feature may be CSI compression, or CSI prediction in the time domain, or spatial beam prediction based on AI, etc.

Among them, one functionality can contain one or more AI models.

However, it is not clear how functionality will be determined or how it will be reported.

Fig. 2 is a flow chart of a communication method according to an exemplary embodiment. As shown in Fig. 2 , the communication method is used in a terminal and includes the following steps.

In step S11, first information is sent, where the first information is used to indicate an AI function supported by the terminal, where the AI function is determined based on different dimensional information.

In some embodiments, the AI function is used to indicate relevant information of the AI model, for example, the application scenario of the AI model.

In some embodiments, the AI function may be a CSI compression function, an AI-based beam prediction function, an AI-based positioning function, and the like.

In some embodiments, the dimension information may be determined based on a predefined basis, for example, based on a protocol predefined basis or based on a network device predefined basis.

In some embodiments, the dimension information is determined based on terminal customization, for example, the terminal determines the dimension information it supports.

In the disclosed embodiment, the terminal sends the first information, and indicates the AI function supported by the terminal through the first information, so that the network device and the terminal reach an agreement on the AI function supported by the terminal. In addition, different AI functions are determined based on different dimensional information, which clarifies the basis for determining the AI function and improves communication efficiency.

In a communication method provided in an embodiment of the present disclosure, the dimension information includes at least one of the following:

Operating frequency band;

Application scenarios;

Inputs and/or outputs of AI models;

Configuration information.

In some embodiments, the dimensional information includes an operating frequency band.

Optionally, different AI functions are determined based on the working frequency bands to which the AI model is applied. For example, different working frequency bands correspond to different AI functions.

In some embodiments, the dimensional information includes an application scenario.

Optionally, different AI functions are determined based on the application scenario to which the AI model is applied. For example, the application scenario may be a cell type, and different cell types correspond to different AI functions.

In some embodiments, the dimensional information includes inputs and/or outputs of the AI model.

Optionally, different AI functions are determined based on the input and/or output of the AI model. For example, the input and/or output of the AI model is defined, and AI models with different inputs and/or outputs correspond to different AI functions.

In some embodiments, the dimensional information includes configuration information.

Optionally, different AI functions are determined based on different configuration information.

In some embodiments, the dimensional information includes one or more of the operating frequency band, application scenario, input and/or output of the AI model, and configuration information, and the AI function is determined based on the one or more dimensional information. The embodiments of the present disclosure do not limit the combination of dimensional information.

In the embodiment of the present disclosure, by defining the dimension information for determining the AI function, the terminal can clearly know how to determine the division of the AI function, thereby improving the communication efficiency.

In a communication method provided in an embodiment of the present disclosure, each dimension information includes at least one value, and the AI function is determined based on the values under different dimension information.

Optionally, the value corresponding to the working frequency band may include working frequency band 1 and working frequency band 2.

Exemplarily, AI function 1 is determined based on working frequency band 1, and AI function 2 is determined based on working frequency band 2.

Optionally, the value corresponding to the application scenario may include a macro cell and a micro cell.

Exemplarily, AI function 1 is determined for the macro cell, and AI function 2 is determined for the micro cell.

In some embodiments, the dimensional information includes input or output of the AI model.

Optionally, the input or output of the AI model may include input or output with different bit values.

Exemplarily, an AI model with X bits of output corresponds to AI function 1, and an AI model with Y bits of output corresponds to AI function 2.

Exemplarily, configuration information 1 corresponds to AI function 1, and configuration information 2 corresponds to AI function 2.

In the embodiments of the present disclosure, the dimension information of the AI function is determined based on the values under different dimensional information, so that the terminal can clearly determine how to divide the AI function and improve communication efficiency.

In a communication method provided by an embodiment of the present disclosure, different AI functions correspond to different function identifiers.

Optionally, the function identifier may be an ID or a name, as long as it can distinguish different AI functions, and the embodiments of the present disclosure are not limited thereto.

Optionally, the function identifiers of different AI functions may be determined by the terminal or by a network device.

The following describes how the terminal reports the AI functions it supports.

Method 1: The terminal determines the AI function supported by the terminal based on the second information.

In some embodiments, the second information is predefined by the network device or the protocol or other entities.

In some embodiments, the second information includes dimension information corresponding to the multiple AI functions and values corresponding to the multiple AI functions in different dimension information.

Exemplarily, the second information includes a working frequency band and configuration information, the working frequency band is FR1 or FR2, and the configuration information is configuration 1 or configuration 2. The terminal can determine four AI functions, namely, the AI function under FR1 and configuration 1, the AI function under FR1 and configuration 2, the AI function under FR2 and configuration 1, and the AI function under FR2 and configuration 2.

In some embodiments, the terminal determines the function identifiers of the multiple AI functions based on the dimension information respectively corresponding to the multiple AI functions included in the second information and the values respectively corresponding to the multiple AI functions in different dimension information.

In some embodiments, the first information reported by the terminal is a function identifier of an AI function supported by the terminal.

In the embodiment of the present disclosure, the configuration information corresponding to the AI function and its value are predefined by the second information. The terminal reports the function identifier of the AI function supported by the terminal based on the predefined second information, and the network device can determine the application conditions of the AI function of the terminal based on the function identifier.

Method 2: Terminal customization determines the AI functions supported by the terminal.

In some embodiments, the terminal determines the AI function based on the dimension information.

Optionally, the dimension information is determined by pre-configuration of a network device or a protocol.

In some embodiments, the terminal determines the value corresponding to the AI function under the dimension information.

In some embodiments, the terminal reports different values corresponding to the AI function under different dimensional information. That is, the first information includes the values of the AI function supported by the terminal under different dimensional information.

Exemplarily, the first information may include two AI functions and the values of the two AI functions under different dimensional information. For example, the values of the first AI function under different dimensional information are: working frequency band: FR1; application scenario: macro cell; the values of the second AI function under different dimensional information are: working frequency band: FR2; application scenario: micro cell.

In some embodiments, the terminal can customize the allocation of function identifiers for different AI functions.

Optionally, the first information includes a function identifier of an AI function supported by the terminal.

In some embodiments, the function identifier of the AI function supported by the terminal is determined by the network device based on the values of the AI function supported by the terminal under different dimensional information.

Exemplarily, the terminal sends first information to the network device, and the network device determines the values of the AI functions supported by the terminal under different dimensional information based on the first information, and names different AI functions.

Optionally, the network device can send fourth information to the terminal, so that the terminal determines the function identifier of the AI function based on the fourth information.

In an embodiment of the present disclosure, the terminal customizes the AI function and the first information that needs to be reported to the network device based on the dimensional information, so that the network device can determine the AI function supported by the terminal and the specific application conditions under different dimensional information based on the first information.

Method three: The terminal determines the AI function supported by the terminal based on the third information, and customizes the reported dimension information supported by the terminal under different AI functions.

In some embodiments, the third information is used to indicate at least one dimension information.

Optionally, the terminal determines the AI function supported by the terminal based on the third information.

In some embodiments, the terminal determines a function identifier for an AI function supported by the terminal.

Exemplarily, the dimensional information indicated by the third information is a working frequency band. The terminal determines that the AI functions supported by the terminal are functionality#1 and functionality#2 based on the working frequency band, and reports functionality#1 and functionality#2.

In some embodiments, the first information also includes the corresponding values of the AI functions supported by the terminal under other dimensional information.

Optionally, the other dimensional information does not include at least one dimensional information indicated by the third information.

Exemplarily, the terminal determines that the AI functions supported by the terminal are functionality#1 and functionality#2 based on the working frequency band indicated by the third indication information, and determines that the application scenario supported by functionality#1 is a macro cell, and the application scenario supported by functionality#2 is a micro cell, then the first information may also include functionality#1 supports The application scenario of functionality# is a macro cell and the application scenario supported by functionality#2 is a micro cell.

In one implementation, the function identifier of the AI function supported by the terminal and the corresponding value of the AI function supported by the terminal under other dimensional information can be carried in the same first information or in different first information.

In an embodiment of the present disclosure, the terminal determines the AI functions supported by the terminal based on the third information, and customizes the first information reported by the terminal, so that the network device can determine the AI functions supported by the terminal and the specific application conditions under different dimensional information based on the first information.

Based on the same concept, an embodiment of the present disclosure also provides a communication method executed by a network device.

Fig. 3 is a flow chart showing a communication method according to an exemplary embodiment. As shown in Fig. 3 , the communication method is used in a terminal and includes the following steps.

In step S11, first information is received, where the first information is used to indicate an AI function supported by the terminal, where the AI function is determined based on different dimensional information.

In some embodiments, the dimension information is determined based on a predefined basis, for example, based on a protocol predefined basis or based on a network device predefined basis.

In an embodiment of the present disclosure, the network device receives the first information, determines the AI function supported by the terminal through the first information, and enables the network device and the terminal to reach an agreement on the AI function supported by the terminal.

Operating frequency band;

Application scenarios;

Inputs and/or outputs of AI models;

Configuration information.

Optionally, different AI functions are determined based on the input and/or output of the AI model. Input and/or output, AI models with different inputs and/or outputs correspond to different AI functions.

The following describes how the terminal reports the AI functions it supports.

In some embodiments, the terminal can customize and determine the function identifiers of different AI functions.

In the embodiment of the present disclosure, the terminal customizes the AI function based on the dimension information and the first information that needs to be reported to the network device, so that the network device can determine the AI function supported by the terminal and the first information in different dimensions based on the first information. Specific application conditions under degree information.

Exemplarily, the terminal determines that the AI functions supported by the terminal are functionality #1 and functionality #2 based on the working frequency band indicated by the third indication information, and at the same time determines that the application scenario supported by functionality #1 is a macro cell, and the application scenario supported by functionality #2 is a micro cell. The first information may also include that the application scenario supported by functionality #1 is a macro cell and the application scenario supported by functionality #2 is a micro cell.

It should be noted that those skilled in the art can understand that the various implementation methods/embodiments involved in the embodiments of the present disclosure can be used in conjunction with the aforementioned embodiments or can be used independently. Whether used alone or in conjunction with the aforementioned embodiments, the implementation principle is similar. In the implementation of the present disclosure, some embodiments are described in terms of implementation methods used together. Of course, those skilled in the art can understand that such examples are not limitations of the embodiments of the present disclosure.

Based on the same concept, an embodiment of the present disclosure also provides a communication device.

It is understandable that, in order to realize the above functions, the communication device provided by the embodiment of the present disclosure includes hardware structures and/or software modules corresponding to executing each function. In combination with the units and algorithm steps of each example disclosed in the embodiment of the present disclosure, the embodiment of the present disclosure can be implemented in the form of hardware or a combination of hardware and computer software. Whether a function is executed in the form of hardware or computer software driving hardware depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but this method is not limited to hardware. The implementation should not be considered to exceed the scope of the technical solution of the embodiment of the present disclosure.

Fig. 4 is a block diagram of a communication device according to an exemplary embodiment. Referring to Fig. 4 , the device includes a sending module 101 .

The sending module 101 is used to send first information, where the first information is used to indicate an AI function supported by the terminal, and the AI function is determined based on different dimensional information.

Operating frequency band;

Application scenarios;

Inputs and/or outputs of AI models;

Configuration information.

Fig. 5 is a block diagram of a communication device according to an exemplary embodiment. Referring to Fig. 5 , the device includes a receiving module 201 .

The receiving module 201 is used to receive first information, where the first information is used to indicate an AI function supported by the terminal, where the AI function is determined based on different dimensional information.

Operating frequency band;

Application scenarios;

Inputs and/or outputs of AI models;

Configuration information.

Regarding the device in the above embodiment, the specific manner in which each module performs the operation has been described in the implementation of the method. The examples are described in detail and will not be elaborated here.

Fig. 6 is a block diagram of a communication device according to an exemplary embodiment. For example, the device 300 may be a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, a fitness device, a personal digital assistant, etc.

6 , the apparatus 300 may include one or more of the following components: a processing component 302 , a memory 304 , a power component 306 , a multimedia component 308 , an audio component 310 , an input/output (I/O) interface 312 , a sensor component 314 , and a communication component 316 .

The processing component 302 generally controls the overall operation of the device 300, such as operations associated with display, phone calls, data communications, camera operations, and recording operations. The processing component 302 may include one or more processors 320 to execute instructions to complete all or part of the steps of the above-mentioned method. In addition, the processing component 302 may include one or more modules to facilitate the interaction between the processing component 302 and other components. For example, the processing component 302 may include a multimedia module to facilitate the interaction between the multimedia component 308 and the processing component 302.

The memory 304 is configured to store various types of data to support operations on the device 300. Examples of such data include instructions for any application or method operating on the device 300, contact data, phone book data, messages, pictures, videos, etc. The memory 304 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk.

The power component 306 provides power to the various components of the device 300. The power component 306 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for the device 300.

The multimedia component 308 includes a screen that provides an output interface between the device 300 and the user. In some embodiments, the screen may include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive input signals from the user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundaries of the touch or slide action, but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 308 includes a front camera and/or a rear camera. When the device 300 is in an operating mode, such as a shooting mode or a video mode, the front camera and/or the rear camera may receive external multimedia data. Each front camera and rear camera may be a fixed optical lens system or have a focal length and optical zoom capability.

The audio component 310 is configured to output and/or input audio signals. For example, the audio component 310 includes a microphone (MIC), and when the device 300 is in an operation mode, such as a call mode, a recording mode, and a speech recognition mode, the microphone is configured to receive an external audio signal. The received audio signal can be further stored in the memory 304 or transmitted via the communication Component 316 transmits. In some embodiments, audio component 310 further includes a speaker for outputting audio signals.

I/O interface 312 provides an interface between processing component 302 and peripheral interface modules, such as keyboards, click wheels, buttons, etc. These buttons may include but are not limited to: a home button, a volume button, a start button, and a lock button.

The sensor assembly 314 includes one or more sensors for providing various aspects of the status assessment of the device 300. For example, the sensor assembly 314 can detect the open/closed state of the device 300, the relative positioning of components, such as the display and keypad of the device 300, the sensor assembly 314 can also detect the position change of the device 300 or a component of the device 300, the presence or absence of user contact with the device 300, the orientation or acceleration/deceleration of the device 300, and the temperature change of the device 300. The sensor assembly 314 can include a proximity sensor configured to detect the presence of a nearby object without any physical contact. The sensor assembly 314 can also include an optical sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 314 can also include an accelerometer, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.

The communication component 316 is configured to facilitate wired or wireless communication between the device 300 and other devices. The device 300 can access a wireless network based on a communication standard, such as WiFi, 2G or 3G, or a combination thereof. In an exemplary embodiment, the communication component 316 receives a broadcast signal or broadcast-related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 316 also includes a near field communication (NFC) module to facilitate short-range communication. For example, the NFC module can be implemented based on radio frequency identification (RFID) technology, infrared data association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology and other technologies.

In an exemplary embodiment, the apparatus 300 may be implemented by one or more application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors or other electronic components to perform the above method.

In an exemplary embodiment, a non-transitory computer-readable storage medium including instructions is also provided, such as a memory 304 including instructions, and the instructions can be executed by the processor 320 of the device 300 to perform the above method. For example, the non-transitory computer-readable storage medium can be a ROM, a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, etc.

FIG. 7 is a block diagram of a communication device according to an exemplary embodiment. For example, device 400 may be provided as a network device. Referring to FIG. 7 , device 400 includes a processing component 422, which further includes one or more processors, and a memory resource represented by a memory 432 for storing instructions executable by the processing component 422, such as an application. The application stored in the memory 432 may include one or more modules, each corresponding to a set of instructions. In addition, the processing component 422 is configured to execute instructions to perform the above method.

The device 400 may also include a power supply component 426 configured to perform power management of the device 400, a wired Or wireless network interface 450 is configured to connect device 400 to a network, and an input/output (I/O) interface 458. Device 400 may operate based on an operating system stored in memory 432, such as Windows Server™, Mac OS X™, Unix™, Linux™, FreeBSD™ or the like.

In an exemplary embodiment, a non-transitory computer-readable storage medium including instructions is also provided, such as a memory 432 including instructions, which can be executed by the processing component 422 of the device 400 to perform the above method. For example, the non-transitory computer-readable storage medium can be a ROM, a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, etc.

It is further understood that in the present disclosure, "plurality" refers to two or more than two, and other quantifiers are similar thereto. "And/or" describes the association relationship of associated objects, indicating that three relationships may exist. For example, A and/or B may represent: A exists alone, A and B exist at the same time, and B exists alone. The character "/" generally indicates that the associated objects before and after are in an "or" relationship. The singular forms "a", "the", and "the" are also intended to include plural forms, unless the context clearly indicates other meanings.

It is further understood that the terms "first", "second", etc. are used to describe various information, but such information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other, and do not indicate a specific order or degree of importance. In fact, the expressions "first", "second", etc. can be used interchangeably. For example, without departing from the scope of the present disclosure, the first information can also be referred to as the second information, and similarly, the second information can also be referred to as the first information.

It is further understood that, although the operations are described in a specific order in the drawings in the embodiments of the present disclosure, it should not be understood as requiring the operations to be performed in the specific order shown or in a serial order, or requiring the execution of all the operations shown to obtain the desired results. In certain environments, multitasking and parallel processing may be advantageous.

Those skilled in the art will readily appreciate other embodiments of the present disclosure after considering the specification and practicing the invention disclosed herein. This application is intended to cover any modifications, uses or adaptations of the present disclosure, which follow the general principles of the present disclosure and include common knowledge or customary technical means in the art that are not disclosed in the present disclosure.

It should be understood that the present disclosure is not limited to the precise structures that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the scope of the appended claims.

Claims

A communication method, characterized in that it is executed by a terminal, and the method comprises:

Send first information, where the first information is used to indicate an AI function supported by the terminal, and the AI function is determined based on different dimensional information.
The method according to claim 1, wherein the dimension information includes at least one of the following:

Operating frequency band;

Application scenarios;

Inputs and/or outputs of AI models;

Configuration information.
The method according to claim 1 or 2 is characterized in that each dimension information includes at least one value, and the AI function is determined based on the values under different dimension information.
The method according to claim 3 is characterized in that different AI functions correspond to different function identifiers.
The method according to any one of claims 1 to 4 is characterized in that the AI functions supported by the terminal are determined based on second information, and the second information includes dimension information corresponding to multiple AI functions and values corresponding to the multiple AI functions in different dimension information.
The method according to claim 5 is characterized in that the first information includes function identifiers of AI functions supported by the terminal, and the function identifiers of the multiple AI functions are determined by the terminal based on the dimension information corresponding to the multiple AI functions respectively and the values corresponding to the multiple AI functions in different dimension information respectively.
The method according to any one of claims 1 to 4 is characterized in that the first information includes values of the AI function supported by the terminal under different dimensional information.
The method according to claim 7 is characterized in that the first information also includes a function identifier of the AI function supported by the terminal, and the function identifier of the AI function supported by the terminal is customized and determined by the terminal.
The method according to claim 7 is characterized in that the function identifier of the AI function supported by the terminal is determined by the network device based on the value of the AI function supported by the terminal under different dimensional information.
The method according to any one of claims 1 to 4 is characterized in that the AI function supported by the terminal is determined based on third information, and the third information is used to indicate at least one dimension information.
The method according to claim 10 is characterized in that the first information includes a function identifier of the AI function supported by the terminal, and the function identifier of the AI function supported by the terminal is customized and determined by the terminal.
The method according to claim 11 is characterized in that the first information also includes the corresponding values of the AI function supported by the terminal under other dimensional information.
A communication method, characterized in that it is performed by a network device, and the method comprises:

First information is received, where the first information is used to indicate an AI function supported by a terminal, where the AI function is determined based on different dimensional information.
The method according to claim 13, wherein the dimension information includes at least one of the following:

Operating frequency band;

Application scenarios;

Inputs and/or outputs of AI models;

Configuration information.
The method according to claim 13 or 14 is characterized in that each dimension information includes at least one value, and the AI function is determined based on the values under different dimension information.
The method according to claim 15 is characterized in that different AI functions correspond to different function identifiers.
The method according to any one of claims 13 to 16 is characterized in that the AI functions supported by the terminal are determined based on second information, and the second information includes dimension information corresponding to multiple AI functions and values corresponding to the multiple AI functions in different dimension information.
The method according to claim 17 is characterized in that the first information includes function identifiers of AI functions supported by the terminal, and the function identifiers of the multiple AI functions are determined by the terminal based on the dimension information corresponding to the multiple AI functions respectively and the values corresponding to the multiple AI functions in different dimension information respectively.
The method according to any one of claims 13 to 16 is characterized in that the first information includes values of the AI function supported by the terminal under different dimensional information.
The method according to claim 19 is characterized in that the first information also includes a function identifier of the AI function supported by the terminal, and the function identifier of the AI function supported by the terminal is customized and determined by the terminal.
The method according to claim 19 is characterized in that the function identifier of the AI function supported by the terminal is determined by the network device based on the value of the AI function supported by the terminal under different dimensional information.
The method according to any one of claims 13 to 16 is characterized in that the AI function supported by the terminal is determined based on third information, and the third information is used to indicate at least one dimension information.
The method according to claim 22 is characterized in that the first information includes an AI identifier of an AI function supported by the terminal, and the function identifier of the AI function supported by the terminal is customized and determined by the terminal.
The method according to claim 23 is characterized in that the first information also includes the corresponding values of the AI function supported by the terminal under other dimensional information.
A communication device, characterized in that the device comprises:

A sending module is used to send first information, where the first information is used to indicate the AI function supported by the terminal. Functions are determined based on different dimensional information.
A communication device, characterized in that the device comprises:

The receiving module is used to receive first information, where the first information is used to indicate an AI function supported by the terminal, and the AI function is determined based on different dimensional information.
A communication device, comprising:

processor;

a memory for storing processor-executable instructions;

The processor is configured to: execute the communication determination method described in any one of claims 1 to 12.
A communication device, comprising:

processor;

a memory for storing processor-executable instructions;

Wherein, the processor is configured to: execute the communication method described in any one of claims 13 to 24.
A storage medium, characterized in that instructions are stored in the storage medium, and when the instructions in the storage medium are executed by a processor of a terminal, the terminal is enabled to execute the communication method described in any one of claims 1 to 12.
A storage medium, characterized in that instructions are stored in the storage medium, and when the instructions in the storage medium are executed by a processor of a network device, the network device is able to execute the communication method described in any one of claims 13 to 24.