CN118509966A - Base station energy saving method, device, equipment and medium based on data stream quality perception - Google Patents
Base station energy saving method, device, equipment and medium based on data stream quality perception Download PDFInfo
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- H—ELECTRICITY
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- H04W52/00—Power management, e.g. Transmission Power Control [TPC] or power classes
- H04W52/02—Power saving arrangements
- H04W52/0203—Power saving arrangements in the radio access network or backbone network of wireless communication networks
- H04W52/0206—Power saving arrangements in the radio access network or backbone network of wireless communication networks in access points, e.g. base stations
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- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W28/00—Network traffic management; Network resource management
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- H04W28/0958—Management thereof based on metrics or performance parameters
- H04W28/0967—Quality of Service [QoS] parameters
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- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
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Abstract
The invention relates to the technical field of communication, and provides a base station energy saving method, device, equipment and medium based on data stream quality perception, which can calculate the network quality of each remote radio unit based on the network quality of each data stream, and generate an energy saving control strategy of a base station according to the network quality of each remote radio unit so as to take finer energy saving measures for each remote radio unit in the base station based on the quality perception of the data stream, thereby ensuring the maximization of resource utilization; the base station is subjected to energy-saving control based on the energy-saving control strategy, the energy-saving control strategy is fed back to the indoor baseband processing unit of the base station, the indoor baseband processing unit is prevented from calling a channel which is turned off due to energy saving, service interruption is effectively avoided, and therefore energy optimization is achieved and meanwhile service quality is guaranteed.
Description
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a base station energy saving method, apparatus, device, and medium based on data stream quality awareness.
Background
With the popularization of global digitalization and mobile internet, mobile communication technologies are also advancing continuously, such as rapid transition from 4G (4 th Generation Mobile Communication Technology, fourth generation mobile communication technology) to 5G (5 th Generation Mobile Communication Technology, fifth generation mobile communication technology), which brings about a large scale expansion of wireless network coverage. As a key component in a mobile communication system, the number of base stations increases sharply with the increasing demand for network coverage. For example: to meet the demands of 5G networks for low latency and high data rates, more small base stations need to be deployed at the corners of the city. These base stations, while providing denser network coverage and better user experience, also add significantly to the overall energy consumption.
Therefore, with the development of mobile communication technology and the substantial increase in the number of base stations, how to effectively manage and reduce the energy consumption of the base stations has become a significant challenge for operators. Under the background of continuous increase of data traffic, the adoption of innovative energy-saving technology and strategy is not only the key for improving the network operation efficiency, but also an important step for pushing the industry to sustainable development transformation.
In the prior art, the energy conservation of the base station is realized mainly by adopting hardware optimization and related energy management strategies, but the two modes have the following defects:
1. and (5) optimizing hardware. For example: the high-efficiency power amplifier is used for reducing energy consumption, the optimized antenna design is adopted for improving signal coverage efficiency, and the requirement for repeated signal transmission is reduced, so that the energy consumption is reduced. This approach has mainly the following drawbacks:
High initial investment cost: hardware optimization often requires the use of up-to-date techniques and components, which tend to be costly, particularly when deployed across a network, requiring significant capital investment;
The updating period is short: the communication technology is developed rapidly, the iteration speed of new hardware equipment is high, operators need to replace hardware frequently in order to keep the technology leading and efficiency optimized, the cost is increased, and larger physical resource waste is caused;
implementation and maintenance complexity: the installation and maintenance of advanced hardware devices typically requires specialized technicians to operate, which increases operational and labor costs;
2. A certain energy management strategy is adopted. For example: and dynamically opening and closing partial components of the base station according to the actual requirement of the data flow, for example, adopting load induction adjustment to monitor the network flow and the user requirement in real time, and flexibly adjusting the power consumption of the base station according to the requirement so as to optimize the energy use efficiency. This approach has mainly the following drawbacks:
the refinement management is insufficient: the current energy management strategy is usually carried out at a higher system level, so that the fine adjustment is difficult to be carried out aiming at specific network conditions, and the maximization of the energy-saving effect is limited;
Affecting quality of service: the conventional strategy lacks a sufficiently sensitive feedback mechanism, is difficult to match with the actual flow demand, and therefore, the service quality may be reduced;
Reactivity rather than initiative: many energy management strategies (e.g. base station dynamic switching) are mainly performed when the user traffic is significantly reduced, and such reactive strategies cannot cope with instantaneous changes in traffic instantaneously.
Disclosure of Invention
In view of the foregoing, it is necessary to provide a method, apparatus, device and medium for base station energy saving based on data stream quality perception, which aims to solve the problems of high cost, high energy consumption, poor real-time performance and difficulty in balancing energy saving and service quality in the process of base station energy saving.
A base station energy saving method based on data stream quality perception, the base station energy saving method based on data stream quality perception comprising:
Capturing each data packet flowing through the configuration equipment corresponding to the base station in a mirror image mode;
classifying each captured data packet according to a configuration classification strategy to obtain each data stream;
Analyzing the load and the service quality of each data stream to obtain the network quality of each data stream;
mapping each data stream to at least one remote radio unit of the base station respectively to obtain at least one data stream corresponding to each remote radio unit;
calculating the network quality of each remote radio unit based on the network quality of each data stream;
generating an energy-saving control strategy of the base station according to the network quality of each remote radio unit;
And performing energy-saving control on the base station based on the energy-saving control strategy, and feeding back the energy-saving control strategy to an indoor baseband processing unit of the base station.
According to a preferred embodiment of the present invention, capturing each data packet flowing through the corresponding configuration device of the base station in a mirror image manner includes:
acquiring an idle port of the configuration equipment, and setting a mirror image on the idle port to establish connection with a mirror image server;
capturing each data packet flowing through the configuration device based on the set mirror image;
wherein the configuration device comprises any one of the following devices: the indoor baseband processing unit, the rear end switch of the indoor baseband processing unit, the rear end route of the indoor baseband processing unit and the gateway corresponding to the base station.
According to a preferred embodiment of the present invention, classifying each captured data packet according to the configuration classification policy, to obtain each data flow includes:
determining a classification index according to the configuration classification strategy;
Classifying each data packet according to the classification index to obtain each data stream;
Wherein, the classification index comprises any one of the following: source IP address, destination IP address, port number, belonging user, flow-through time.
According to a preferred embodiment of the present invention, the analyzing the load and the service quality of each data stream, and obtaining the network quality of each data stream includes:
the load and the service quality of each data stream are analyzed by adopting the following formula, and the network quality of each data stream is obtained:
；
wherein, Representing the network quality of the i-th data stream; Indicating the packet loss rate of the ith data stream; Representing the average delay of the ith data stream; network jitter representing the i-th data stream; Representing bandwidth usage of the ith data stream; Representing the number of connections of the ith data stream; w1 represents the weight corresponding to the packet loss rate; w2 represents the weight corresponding to the average delay; w3 represents a weight corresponding to the network jitter; w4 represents the weight corresponding to bandwidth usage; w5 represents a weight corresponding to the number of connections; i is a positive integer.
According to a preferred embodiment of the present invention, mapping each data stream to at least one remote radio unit of the base station, and obtaining at least one data stream corresponding to each remote radio unit includes:
controlling each remote radio unit to interact with the indoor baseband processing unit to obtain a source IP address corresponding to each remote radio unit;
acquiring a source IP address of each data stream;
And determining the data stream with the same source IP address as each remote unit as at least one data stream corresponding to each remote unit.
According to a preferred embodiment of the present invention, the calculating the network quality of each remote radio unit based on the network quality of each data stream includes:
acquiring the flow of each data stream and the total flow of all the data streams;
Calculating the quotient of the flow of each data flow and the total flow to obtain the network quality weight of each data flow;
And carrying out weighted average operation according to the network quality weight of each data stream and the network quality of each data stream in at least one data stream corresponding to each remote radio unit to obtain the network quality of each remote radio unit.
According to a preferred embodiment of the present invention, the performing energy-saving control on the base station based on the energy-saving control policy includes:
When the network quality of a first remote radio unit is larger than a first threshold value and smaller than or equal to a second threshold value, acquiring the use frequency of each communication channel of the first remote radio unit, and switching off the communication channels with the use frequency smaller than the configuration frequency;
When the network quality of the second remote radio unit is greater than the second threshold value and the total flow is smaller than the configuration flow, reducing the number of carriers of the second remote radio unit according to the configuration proportion;
When the network quality of the third remote radio unit is greater than a third threshold value and the total flow is smaller than the configuration flow, controlling the third remote radio unit to enter a dormant state;
wherein the first threshold is less than the second threshold, and the second threshold is less than the third threshold.
A base station energy saving device based on data stream quality perception, the base station energy saving device based on data stream quality perception comprising:
A capturing unit for capturing each data packet flowing through the configuration device corresponding to the base station in a mirror image manner;
The classification unit is used for classifying each captured data packet according to the configuration classification strategy to obtain each data stream;
The analysis unit is used for analyzing the load and the service quality of each data stream to obtain the network quality of each data stream;
the mapping unit is used for mapping each data stream to at least one remote radio unit of the base station respectively to obtain at least one data stream corresponding to each remote radio unit;
A calculation unit for calculating the network quality of each remote radio unit based on the network quality of each data stream;
The generating unit is used for generating an energy-saving control strategy of the base station according to the network quality of each remote radio unit;
And the control unit is used for carrying out energy-saving control on the base station based on the energy-saving control strategy and feeding back the energy-saving control strategy to the indoor baseband processing unit of the base station.
A computer device, the computer device comprising:
a memory storing at least one instruction; and
And the processor executes the instructions stored in the memory to realize the base station energy saving method based on data stream quality perception.
A computer readable storage medium having stored therein at least one instruction for execution by a processor in a computer device to implement the data stream quality awareness based base station power saving method.
According to the technical scheme, the network quality of each remote radio unit can be calculated based on the network quality of each data stream, and the energy-saving control strategy of the base station is generated according to the network quality of each remote radio unit, so that finer energy-saving measures are adopted for each remote radio unit in the base station based on the quality perception of the data stream, and the maximization of resource utilization is ensured; the base station is subjected to energy-saving control based on the energy-saving control strategy, the energy-saving control strategy is fed back to the indoor baseband processing unit of the base station, the indoor baseband processing unit is prevented from calling a channel which is turned off due to energy saving, service interruption is effectively avoided, and therefore energy optimization is achieved and meanwhile service quality is guaranteed.
Drawings
Fig. 1 is a flow chart of a preferred embodiment of the base station power saving method based on data stream quality awareness of the present invention.
Fig. 2 is a functional block diagram of a preferred embodiment of a base station power saving device based on data stream quality awareness according to the present invention.
Fig. 3 is a schematic structural diagram of a computer device according to a preferred embodiment of the present invention for implementing a base station power saving method based on data stream quality awareness.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in detail with reference to the accompanying drawings and specific embodiments.
Fig. 1 is a flow chart of a base station energy saving method based on data stream quality awareness according to a preferred embodiment of the present invention. The order of the steps in the flowchart may be changed and some steps may be omitted according to various needs.
The base station energy saving method based on data stream quality perception is applied to one or more computer devices, wherein the computer devices are devices capable of automatically performing numerical calculation and/or information processing according to preset or stored instructions, and the hardware comprises, but is not limited to, a microprocessor, an Application SPECIFIC INTEGRATED Circuit (ASIC), a Programmable gate array (Field-Programmable GATE ARRAY, FPGA), a digital Processor (DIGITAL SIGNAL Processor, DSP), an embedded device and the like.
The computer device may be any electronic product that can interact with a user in a human-computer manner, such as a Personal computer, a tablet computer, a smart phone, a Personal digital assistant (Personal DIGITAL ASSISTANT, PDA), a game console, an interactive internet protocol television (Internet Protocol Television, IPTV), a smart wearable device, etc.
The computer device may also include a network device and/or a user device. Wherein the network device includes, but is not limited to, a single network server, a server group composed of a plurality of network servers, or a Cloud based Cloud Computing (Cloud Computing) composed of a large number of hosts or network servers.
The server may be an independent server, or may be a cloud server that provides cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, content delivery networks (Content Delivery Network, CDN), and basic cloud computing services such as big data and artificial intelligence platforms.
Wherein artificial intelligence (ARTIFICIAL INTELLIGENCE, AI) is the theory, method, technique, and application system that uses a digital computer or a digital computer-controlled machine to simulate, extend, and expand human intelligence, sense the environment, acquire knowledge, and use knowledge to obtain optimal results.
Artificial intelligence infrastructure technologies generally include technologies such as sensors, dedicated artificial intelligence chips, cloud computing, distributed storage, big data processing technologies, operation/interaction systems, mechatronics, and the like. The artificial intelligence software technology mainly comprises a computer vision technology, a robot technology, a biological recognition technology, a voice processing technology, a natural language processing technology, machine learning/deep learning and other directions.
The network in which the computer device is located includes, but is not limited to, the internet, a wide area network, a metropolitan area network, a local area network, a virtual private network (Virtual Private Network, VPN), and the like.
S10, capturing each data packet flowing through the configuration equipment corresponding to the base station in a mirror image mode.
In this embodiment, capturing each data packet flowing through the configuration device corresponding to the base station in a mirror image manner includes:
acquiring an idle port of the configuration equipment, and setting a mirror image on the idle port to establish connection with a mirror image server;
capturing each data packet flowing through the configuration device based on the set mirror image;
Wherein the configuration device comprises any one of the following devices: an indoor baseband processing unit (Building Base band Unit, BBU), a back-end switch of the indoor baseband processing unit, a back-end route of the indoor baseband processing unit, a gateway corresponding to the base station.
The indoor baseband processing unit is used for processing baseband signals in the wireless network. Wherein the baseband signal refers to a signal that has been demodulated from a high frequency carrier signal, the baseband signal comprising actual data information.
Of course, in other embodiments, software with a function of capturing a data stream may also be deployed in the configuration device, and the present invention does not limit the manner of capturing a data stream.
S11, classifying each captured data packet according to a configuration classification strategy to obtain each data stream.
In this embodiment, classifying each captured data packet according to the configuration classification policy, to obtain each data flow includes:
determining a classification index according to the configuration classification strategy;
Classifying each data packet according to the classification index to obtain each data stream;
Wherein, the classification index comprises any one of the following: source IP (Internet Protocol ) address, destination IP address, port number, belonging user, flow-through time.
In the above embodiment, the data packet can be divided into a continuous data stream according to the classification index for later analysis of network quality.
And S12, analyzing the load and the service quality of each data stream to obtain the network quality of each data stream.
In this embodiment, the analyzing the load and the service quality of each data stream, and obtaining the network quality of each data stream includes:
the load and the service quality of each data stream are analyzed by adopting the following formula, and the network quality of each data stream is obtained:
；
wherein, Representing the network quality of the i-th data stream; Indicating the packet loss rate of the ith data stream; Representing the average delay of the ith data stream; network jitter representing the i-th data stream; Representing bandwidth usage of the ith data stream; Representing the number of connections of the ith data stream; w1 represents the weight corresponding to the packet loss rate; w2 represents the weight corresponding to the average delay; w3 represents a weight corresponding to the network jitter; w4 represents the weight corresponding to bandwidth usage; w5 represents a weight corresponding to the number of connections; i is a positive integer.
Wherein a high packet loss rate generally indicates poor network quality; a high delay indicates poor quality of service; the stability of the data stream and the quality of audio and video communication can be affected by the larger jitter; high bandwidth usage may indicate that the network is approaching saturation; high connection numbers may increase network load, affecting performance.
Different weights can be configured according to actual application scenes because different weight configurations affect the rationality and accuracy of network quality evaluation. For example: to meet the evaluation requirement of the network quality of the base station.
By the embodiment, the network quality of each data stream can be comprehensively estimated by integrating the influence degree of each dimension index, and the follow-up energy-saving control is more real-time due to the real-time property of each index, so that the problem of poor real-time property of the existing energy-saving scheme is effectively solved.
And S13, mapping each data stream to at least one remote radio unit (Remote Radio Unit, RRU) of the base station respectively to obtain at least one data stream corresponding to each remote radio unit.
Wherein the remote radio unit, also called the remote radio unit of the base station, is typically mounted near the base station antenna or integrated directly in the antenna unit. The remote radio unit is mainly used for processing radio frequency signals, including amplification, filtering, up-down conversion (i.e. conversion from baseband signals to radio frequency signals, or from radio frequency signals to baseband signals) and the like.
In this embodiment, mapping each data stream to at least one remote radio unit of the base station, and obtaining at least one data stream corresponding to each remote radio unit includes:
controlling each remote radio unit to interact with the indoor baseband processing unit to obtain a source IP address corresponding to each remote radio unit;
acquiring a source IP address of each data stream;
And determining the data stream with the same source IP address as each remote unit as at least one data stream corresponding to each remote unit.
The configuration and status information of each remote radio unit, such as location, number, current status (e.g. active, dormant, etc.), and information of the data stream type processed by each remote radio unit, can be obtained by interacting with the indoor baseband processing unit. Therefore, through interaction with the indoor baseband processing unit, the mapping relation between the source IP address and each remote radio unit can be obtained.
Each data stream carries key information such as a source IP address, a destination IP address, a port number, a user to whom the data stream belongs, and a streaming time.
Therefore, the data stream with the same source IP address of each remote radio unit may be determined as at least one data stream corresponding to each remote radio unit, so as to establish a mapping relationship between each remote radio unit and each data stream, that is, each data stream is mapped to one or more specific remote radio units.
S14, calculating the network quality of each remote radio unit based on the network quality of each data stream.
In this embodiment, the calculating the network quality of each remote radio unit based on the network quality of each data stream includes:
acquiring the flow of each data stream and the total flow of all the data streams;
Calculating the quotient of the flow of each data flow and the total flow to obtain the network quality weight of each data flow;
And carrying out weighted average operation according to the network quality weight of each data stream and the network quality of each data stream in at least one data stream corresponding to each remote radio unit to obtain the network quality of each remote radio unit.
For example: when the remote radio unit X corresponds to the data stream 1 and the data stream 2, and the network quality weight of the data stream 1 is a, the network quality weight of the data stream 2 is b, the network quality of the data stream 1 is m, and the network quality of the data stream 2 is n, the network quality of the remote radio unit X is: am+bn.
In the above embodiment, the network quality of each remote radio unit is calculated according to the network quality of the data stream corresponding to each remote radio unit, so that each remote radio unit can be controlled in a targeted manner according to the network quality of each remote radio unit.
S15, generating an energy-saving control strategy of the base station according to the network quality of each remote radio unit.
In this embodiment, a refined energy-saving control strategy can be generated for each remote radio unit to reasonably optimize energy use.
S16, energy-saving control is carried out on the base station based on the energy-saving control strategy, and the energy-saving control strategy is fed back to an indoor baseband processing unit of the base station.
In this embodiment, the performing energy-saving control on the base station based on the energy-saving control policy includes:
When the network quality of a first remote radio unit is larger than a first threshold value and smaller than or equal to a second threshold value, acquiring the use frequency of each communication channel of the first remote radio unit, and switching off the communication channels with the use frequency smaller than the configuration frequency;
When the network quality of the second remote radio unit is greater than the second threshold value and the total flow is smaller than the configuration flow, reducing the number of carriers of the second remote radio unit according to the configuration proportion;
When the network quality of the third remote radio unit is greater than a third threshold value and the total flow is smaller than the configuration flow, controlling the third remote radio unit to enter a dormant state;
wherein the first threshold is less than the second threshold, and the second threshold is less than the third threshold.
The configuration frequency can be configured according to actual requirements.
For example: when the network quality is less than or equal to 0.3, the performance of the corresponding remote radio unit is extremely low, and resource allocation needs to be optimized or resource use needs to be improved instead of energy conservation; when the network quality is greater than 0.3 and less than or equal to 0.6, the performance of the corresponding remote radio unit is at a medium level, and moderate energy-saving measures are required; when the network quality is greater than 0.6, the performance of the corresponding remote radio unit is good, and the corresponding remote radio unit may have surplus capacity, so that the remote radio unit is suitable for implementing stronger energy-saving measures. In view of this, the first threshold value may be configured to be 0.5, the second threshold value to be 0.7, and the third threshold value to be 0.8. When the network quality of the first remote radio unit is greater than 0.5 and less than or equal to 0.7, the network quality is between medium and high performance, and at this time, a part of communication channels which are not frequently used can be closed to reduce energy consumption, but the service quality is not seriously affected; when the network quality of the second remote radio unit is larger than 0.7, the network quality performance is higher, at this time, the number of partial carriers can be reduced on the premise of guaranteeing the basic service quality, and the energy consumption can be obviously reduced in a period of low flow; when the network quality of the third remote radio unit is greater than 0.8, the network quality performance is extremely high, and the extremely large excess capacity is displayed, at this time, part or all of hardware corresponding to the third remote radio unit can be controlled to enter a dormant state at night or in other off-peak periods with low flow, so that the energy consumption is greatly reduced.
Through the embodiment, each remote radio unit can be subjected to targeted energy-saving control according to different network qualities, and the energy-saving strategy is more refined because the energy-saving strategy is dropped to a specific remote radio unit instead of integrally adjusting the base station as in the prior art. In addition, as no additional optimized hardware is needed, the problems of high energy consumption and high operation cost caused by energy saving are avoided.
In this embodiment, after the energy-saving control is performed on the base station based on the energy-saving control policy, the network performance and the energy consumption data may be further monitored to evaluate the effect of the energy-saving control policy and ensure that the quality of service is not affected.
In this embodiment, the energy-saving control policy is fed back to the indoor baseband processing unit of the base station, so that the indoor baseband processing unit can be prevented from being called to a channel turned off by an energy-saving measure, and the current state and the current capability of each remote radio unit can be considered when the indoor baseband processing unit schedules resources and processes communication requests, thereby effectively avoiding resource waste and service interruption and effectively solving the problem that the prior art is difficult to balance between energy saving and service quality of the base station.
In this embodiment, the network quality of each data stream, the network quality of each remote radio unit, and the monitored network performance and energy consumption data calculated in real time may be displayed through a specified user interface, so that the user may monitor the network quality and the energy-saving control effect. The display modes may include, but are not limited to: charts, dashboards, real-time graphics, etc.
In this embodiment, the modification of the energy-saving control policy by the user may also be received through the user interaction interface, so that the user may adjust and optimize the energy-saving control policy according to real-time data and service requirements.
According to the technical scheme, the network quality of each remote radio unit can be calculated based on the network quality of each data stream, and the energy-saving control strategy of the base station is generated according to the network quality of each remote radio unit, so that finer energy-saving measures are adopted for each remote radio unit in the base station based on the quality perception of the data stream, and the maximization of resource utilization is ensured; the base station is subjected to energy-saving control based on the energy-saving control strategy, the energy-saving control strategy is fed back to the indoor baseband processing unit of the base station, the indoor baseband processing unit is prevented from calling a channel which is turned off due to energy saving, service interruption is effectively avoided, and therefore energy optimization is achieved and meanwhile service quality is guaranteed.
Fig. 2 is a functional block diagram of a base station energy saving device based on data stream quality perception according to a preferred embodiment of the present invention. The base station energy saving device 11 based on data stream quality perception comprises a capturing unit 110, a classifying unit 111, an analyzing unit 112, a mapping unit 113, a calculating unit 114, a generating unit 115 and a control unit 116. The module/unit referred to in the present invention refers to a series of computer program segments, which are stored in a memory, capable of being executed by a processor and of performing a fixed function. In the present embodiment, the functions of the respective modules/units will be described in detail in the following embodiments.
Wherein the capturing unit 110 is configured to capture each data packet flowing through the configuration device corresponding to the base station in a mirror image manner;
the classifying unit 111 is configured to classify each captured data packet according to a configuration classification policy, so as to obtain each data stream;
the analysis unit 112 is configured to analyze the load and the service quality of each data stream to obtain the network quality of each data stream;
The mapping unit 113 is configured to map each data stream to at least one remote radio unit of the base station, to obtain at least one data stream corresponding to each remote radio unit;
The calculating unit 114 is configured to calculate a network quality of each remote radio unit based on the network quality of each data stream;
The generating unit 115 is configured to generate an energy-saving control policy of the base station according to the network quality of each remote radio unit;
The control unit 116 is configured to perform energy-saving control on the base station based on the energy-saving control policy, and feed back the energy-saving control policy to an indoor baseband processing unit of the base station.
According to the technical scheme, the network quality of each remote radio unit can be calculated based on the network quality of each data stream, and the energy-saving control strategy of the base station is generated according to the network quality of each remote radio unit, so that finer energy-saving measures are adopted for each remote radio unit in the base station based on the quality perception of the data stream, and the maximization of resource utilization is ensured; the base station is subjected to energy-saving control based on the energy-saving control strategy, the energy-saving control strategy is fed back to the indoor baseband processing unit of the base station, the indoor baseband processing unit is prevented from calling a channel which is turned off due to energy saving, service interruption is effectively avoided, and therefore energy optimization is achieved and meanwhile service quality is guaranteed.
Fig. 3 is a schematic structural diagram of a computer device according to a preferred embodiment of the present invention for implementing a base station power saving method based on data stream quality awareness.
The computer device 1 may comprise a memory 12, a processor 13 and a bus, and may further comprise a computer program stored in the memory 12 and executable on the processor 13, such as a base station power saving program based on data stream quality awareness.
It will be appreciated by those skilled in the art that the schematic diagram is merely an example of the computer device 1 and does not constitute a limitation of the computer device 1, the computer device 1 may be a bus type structure, a star type structure, the computer device 1 may further comprise more or less other hardware or software than illustrated, or a different arrangement of components, for example, the computer device 1 may further comprise an input-output device, a network access device, etc.
It should be noted that the computer device 1 is only used as an example, and other electronic products that may be present in the present invention or may be present in the future are also included in the scope of the present invention by way of reference.
The memory 12 includes at least one type of readable storage medium including flash memory, a removable hard disk, a multimedia card, a card memory (e.g., SD or DX memory, etc.), a magnetic memory, a magnetic disk, an optical disk, etc. The memory 12 may in some embodiments be an internal storage unit of the computer device 1, such as a removable hard disk of the computer device 1. The memory 12 may also be an external storage device of the computer device 1 in other embodiments, such as a plug-in mobile hard disk, a smart memory card (SMART MEDIA CARD, SMC), a Secure Digital (SD) card, a flash memory card (FLASH CARD) or the like, which are provided on the computer device 1. Further, the memory 12 may also include both an internal storage unit and an external storage device of the computer device 1. The memory 12 may be used not only for storing application software installed in the computer device 1 and various types of data, such as codes of base station power saving programs based on data stream quality perception, etc., but also for temporarily storing data that has been output or is to be output.
The processor 13 may be comprised of integrated circuits in some embodiments, for example, a single packaged integrated circuit, or may be comprised of multiple integrated circuits packaged with the same or different functions, including one or more central processing units (Central Processing unit, CPU), microprocessors, digital processing chips, graphics processors, various control chips, and the like. The processor 13 is a Control Unit (Control Unit) of the computer device 1, connects the respective components of the entire computer device 1 using various interfaces and lines, executes various functions of the computer device 1 and processes data by running or executing programs or modules stored in the memory 12 (e.g., executing a base station power saving program based on data stream quality perception, etc.), and calls data stored in the memory 12.
The processor 13 executes the operating system of the computer device 1 and various types of applications installed. The processor 13 executes the application program to implement the steps of the various base station power saving method embodiments described above based on data stream quality awareness, such as the steps shown in fig. 1.
Illustratively, the computer program may be partitioned into one or more modules/units that are stored in the memory 12 and executed by the processor 13 to complete the present invention. The one or more modules/units may be a series of computer readable instruction segments capable of performing the specified functions, which instruction segments describe the execution of the computer program in the computer device 1. For example, the computer program may be divided into a capturing unit 110, a classifying unit 111, an analyzing unit 112, a mapping unit 113, a calculating unit 114, a generating unit 115, a control unit 116.
The integrated units implemented in the form of software functional modules described above may be stored in a computer readable storage medium. The software functional modules are stored in a storage medium and include instructions for causing a computer device (which may be a personal computer, a computer device, or a network device, etc.) or a processor (processor) to perform the portions of the base station power saving method based on data stream quality awareness according to the embodiments of the present invention.
The modules/units integrated in the computer device 1 may be stored in a computer readable storage medium if implemented in the form of software functional units and sold or used as separate products. Based on this understanding, the present invention may also be implemented by a computer program for instructing a relevant hardware device to implement all or part of the procedures of the above-mentioned embodiment method, where the computer program may be stored in a computer readable storage medium and the computer program may be executed by a processor to implement the steps of each of the above-mentioned method embodiments.
Wherein the computer program comprises computer program code which may be in source code form, object code form, executable file or some intermediate form etc. The computer readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a random access Memory, or the like.
Further, the computer-readable storage medium may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function, and the like; the storage data area may store data created from the use of blockchain nodes, and the like.
The blockchain is a novel application mode of computer technologies such as distributed data storage, point-to-point transmission, consensus mechanism, encryption algorithm and the like. The blockchain (Blockchain), essentially a de-centralized database, is a string of data blocks that are generated in association using cryptographic methods, each of which contains information from a batch of network transactions for verifying the validity (anti-counterfeit) of its information and generating the next block. The blockchain may include a blockchain underlying platform, a platform product services layer, an application services layer, and the like.
The bus may be a peripheral component interconnect standard (PERIPHERAL COMPONENT INTERCONNECT, PCI) bus, or an extended industry standard architecture (extended industry standard architecture, EISA) bus, among others. The bus may be classified as an address bus, a data bus, a control bus, etc. For ease of illustration, only one straight line is shown in fig. 3, but not only one bus or one type of bus. The bus is arranged to enable a connection communication between the memory 12 and at least one processor 13 or the like.
Although not shown, the computer device 1 may further comprise a power source (such as a battery) for powering the various components, preferably the power source may be logically connected to the at least one processor 13 via a power management means, whereby the functions of charge management, discharge management, and power consumption management are achieved by the power management means. The power supply may also include one or more of any of a direct current or alternating current power supply, recharging device, power failure detection circuit, power converter or inverter, power status indicator, etc. The computer device 1 may further include various sensors, bluetooth modules, wi-Fi modules, etc., which will not be described in detail herein.
Further, the computer device 1 may also comprise a network interface, optionally comprising a wired interface and/or a wireless interface (e.g. WI-FI interface, bluetooth interface, etc.), typically used for establishing a communication connection between the computer device 1 and other computer devices.
The computer device 1 may optionally further comprise a user interface, which may be a Display, an input unit, such as a Keyboard (Keyboard), or a standard wired interface, a wireless interface. Alternatively, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch, or the like. The display may also be referred to as a display screen or display unit, as appropriate, for displaying information processed in the computer device 1 and for displaying a visual user interface.
It should be understood that the embodiments described are for illustrative purposes only and are not limited to this configuration in the scope of the patent application.
Fig. 3 shows only a computer device 1 with components 12-13, it being understood by those skilled in the art that the structure shown in fig. 3 is not limiting of the computer device 1 and may include fewer or more components than shown, or may combine certain components, or a different arrangement of components.
In connection with fig. 1, the memory 12 in the computer device 1 stores a plurality of instructions to implement a data stream quality aware based base station power saving method, the processor 13 is executable to implement:
Capturing each data packet flowing through the configuration equipment corresponding to the base station in a mirror image mode;
classifying each captured data packet according to a configuration classification strategy to obtain each data stream;
Analyzing the load and the service quality of each data stream to obtain the network quality of each data stream;
mapping each data stream to at least one remote radio unit of the base station respectively to obtain at least one data stream corresponding to each remote radio unit;
calculating the network quality of each remote radio unit based on the network quality of each data stream;
generating an energy-saving control strategy of the base station according to the network quality of each remote radio unit;
And performing energy-saving control on the base station based on the energy-saving control strategy, and feeding back the energy-saving control strategy to an indoor baseband processing unit of the base station.
Specifically, the specific implementation method of the above instructions by the processor 13 may refer to the description of the relevant steps in the corresponding embodiment of fig. 1, which is not repeated herein.
The data in this case were obtained legally.
In the several embodiments provided in the present invention, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is merely a logical function division, and there may be other manners of division when actually implemented.
The invention is operational with numerous general purpose or special purpose computer system environments or configurations. For example: personal computers, server computers, hand-held or portable devices, tablet devices, multiprocessor systems, microprocessor-based systems, set top boxes, programmable consumer electronics, network PCs, minicomputers, mainframe computers, distributed computing environments that include any of the above systems or devices, and the like. The invention may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The invention may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
The modules described as separate components may or may not be physically separate, and components shown as modules may or may not be physical units, may be located in one place, or may be distributed over multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional module in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units can be realized in a form of hardware or a form of hardware and a form of software functional modules.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof.
The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference signs in the claims shall not be construed as limiting the claim concerned.
Furthermore, it is evident that the word "comprising" does not exclude other elements or steps, and that the singular does not exclude a plurality. The units or means stated in the invention may also be implemented by one unit or means, either by software or hardware. The terms first, second, etc. are used to denote a name, but not any particular order.
Finally, it should be noted that the above-mentioned embodiments are merely for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications and equivalents may be made to the technical solution of the present invention without departing from the spirit and scope of the technical solution of the present invention.
Claims (10)
1. The base station energy saving method based on data stream quality perception is characterized by comprising the following steps of:
Capturing each data packet flowing through the configuration equipment corresponding to the base station in a mirror image mode;
classifying each captured data packet according to a configuration classification strategy to obtain each data stream;
Analyzing the load and the service quality of each data stream to obtain the network quality of each data stream;
mapping each data stream to at least one remote radio unit of the base station respectively to obtain at least one data stream corresponding to each remote radio unit;
calculating the network quality of each remote radio unit based on the network quality of each data stream;
generating an energy-saving control strategy of the base station according to the network quality of each remote radio unit;
And performing energy-saving control on the base station based on the energy-saving control strategy, and feeding back the energy-saving control strategy to an indoor baseband processing unit of the base station.
2. The base station power saving method based on data stream quality awareness of claim 1 wherein said mirroring each data packet flowing through a corresponding configuration device of the base station comprises:
acquiring an idle port of the configuration equipment, and setting a mirror image on the idle port to establish connection with a mirror image server;
capturing each data packet flowing through the configuration device based on the set mirror image;
wherein the configuration device comprises any one of the following devices: the indoor baseband processing unit, the rear end switch of the indoor baseband processing unit, the rear end route of the indoor baseband processing unit and the gateway corresponding to the base station.
3. The base station power saving method based on data stream quality awareness according to claim 1, wherein classifying each captured data packet according to a configuration classification policy, to obtain each data stream, comprises:
determining a classification index according to the configuration classification strategy;
Classifying each data packet according to the classification index to obtain each data stream;
Wherein, the classification index comprises any one of the following: source IP address, destination IP address, port number, belonging user, flow-through time.
4. The base station energy saving method based on data stream quality awareness according to claim 1, wherein the analyzing the load and the service quality of each data stream to obtain the network quality of each data stream comprises:
the load and the service quality of each data stream are analyzed by adopting the following formula, and the network quality of each data stream is obtained:
；
wherein, Representing the network quality of the i-th data stream; Indicating the packet loss rate of the ith data stream; Representing the average delay of the ith data stream; network jitter representing the i-th data stream; Representing bandwidth usage of the ith data stream; Representing the number of connections of the ith data stream; w1 represents the weight corresponding to the packet loss rate; w2 represents the weight corresponding to the average delay; w3 represents a weight corresponding to the network jitter; w4 represents the weight corresponding to bandwidth usage; w5 represents a weight corresponding to the number of connections; i is a positive integer.
5. The base station energy saving method based on data stream quality sensing according to claim 1, wherein mapping each data stream to at least one remote radio unit of the base station, respectively, to obtain at least one data stream corresponding to each remote radio unit comprises:
controlling each remote radio unit to interact with the indoor baseband processing unit to obtain a source IP address corresponding to each remote radio unit;
acquiring a source IP address of each data stream;
And determining the data stream with the same source IP address as each remote unit as at least one data stream corresponding to each remote unit.
6. The base station energy saving method based on data stream quality awareness according to claim 1, wherein calculating the network quality of each remote radio unit based on the network quality of each data stream comprises:
acquiring the flow of each data stream and the total flow of all the data streams;
Calculating the quotient of the flow of each data flow and the total flow to obtain the network quality weight of each data flow;
And carrying out weighted average operation according to the network quality weight of each data stream and the network quality of each data stream in at least one data stream corresponding to each remote radio unit to obtain the network quality of each remote radio unit.
7. The base station energy saving method based on data stream quality awareness according to claim 6, wherein the energy saving control of the base station based on the energy saving control strategy comprises:
When the network quality of a first remote radio unit is larger than a first threshold value and smaller than or equal to a second threshold value, acquiring the use frequency of each communication channel of the first remote radio unit, and switching off the communication channels with the use frequency smaller than the configuration frequency;
When the network quality of the second remote radio unit is greater than the second threshold value and the total flow is smaller than the configuration flow, reducing the number of carriers of the second remote radio unit according to the configuration proportion;
When the network quality of the third remote radio unit is greater than a third threshold value and the total flow is smaller than the configuration flow, controlling the third remote radio unit to enter a dormant state;
wherein the first threshold is less than the second threshold, and the second threshold is less than the third threshold.
8. A base station energy saving device based on data stream quality perception, characterized in that the base station energy saving device based on data stream quality perception comprises:
A capturing unit for capturing each data packet flowing through the configuration device corresponding to the base station in a mirror image manner;
The classification unit is used for classifying each captured data packet according to the configuration classification strategy to obtain each data stream;
The analysis unit is used for analyzing the load and the service quality of each data stream to obtain the network quality of each data stream;
the mapping unit is used for mapping each data stream to at least one remote radio unit of the base station respectively to obtain at least one data stream corresponding to each remote radio unit;
A calculation unit for calculating the network quality of each remote radio unit based on the network quality of each data stream;
The generating unit is used for generating an energy-saving control strategy of the base station according to the network quality of each remote radio unit;
And the control unit is used for carrying out energy-saving control on the base station based on the energy-saving control strategy and feeding back the energy-saving control strategy to the indoor baseband processing unit of the base station.
9. A computer device, the computer device comprising:
a memory storing at least one instruction; and
A processor executing instructions stored in the memory to implement the data stream quality awareness based base station power saving method of any one of claims 1 to 7.
10. A computer-readable storage medium, characterized by: the computer readable storage medium having stored therein at least one instruction for execution by a processor in a computer device to implement the data stream quality awareness based base station power saving method of any one of claims 1 to 7.
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