A method, device and equipment for turning off an energy-saving cell

Abstract

The application provides a kind of energy-saving cell shutdown control method, device and equipment, the control method includes the following steps: obtaining the parameter information of energy-saving cell and the adjacent area corresponding to the energy-saving cell;According to the parameter information, determine the same coverage cell corresponding to the energy-saving cell;Through prediction model, obtain the service performance parameter prediction value of the same coverage cell in the second period of time;According to the service performance parameter prediction value, obtain the shutdown threshold of the energy-saving cell;Send instruction message to the energy-saving cell, the instruction message is used to indicate that the energy-saving cell enters shutdown state in the energy-saving period when service load value is less than the shutdown threshold.The application dynamically configures the shutdown threshold of energy-saving cell according to the service performance parameter prediction value of the same coverage cell, effectively guarantees the service performance in the coverage area of energy-saving cell while saving energy.

Description

Technical Field

[0001] This application relates to the field of communication technology, and in particular to a method, apparatus and equipment for shutting down an energy-saving cell. Background Technology

[0002] With the development of mobile communication networks, the energy consumption of wireless networks is increasing, and operators' need for energy conservation and consumption reduction is becoming more and more urgent. Among the energy consumption components of wireless networks, base station equipment accounts for the highest proportion. Base station energy conservation is the foundation of wireless network energy conservation, and base station energy conservation technology has always been a research hotspot in the industry.

[0003] To reduce the energy consumption of base station equipment, the industry has proposed energy-saving technologies such as cell shutdown. The basic principle is to shut down some hardware resources of the base station corresponding to the cell when the service load of the cell is less than the preset shutdown threshold, thereby reducing the energy consumption of the base station and achieving the effect of energy saving.

[0004] Cell shutdown technology is mainly used in scenarios where multiple base stations cover the same area simultaneously. One base station serves as the basic coverage layer base station, while the others are planned as capacity layer base stations. When the service load of a capacity layer base station is low, all of its radio frequency channels are shut down to save energy, while the basic coverage layer base station remains in normal working order to provide network services to UEs (users) in that area.

[0005] The existing cell shutdown threshold is a preset fixed value. That is, when the service load of a cell is less than the preset fixed threshold, the cell can enter a shutdown state. The preset fixed threshold is generally set manually based on the service type and performance requirements of the energy-saving cell coverage area, user protection level, etc. This means that the current cell shutdown method based on a fixed shutdown threshold cannot flexibly adapt to the differentiated energy-saving needs of different coverage areas. If the threshold is set too low, it will affect the energy-saving effect; if the threshold is set too high, the service performance in the coverage area may be damaged.

[0006] In addition, the existing method for determining the shutdown threshold only considers the service needs of the cell corresponding to the base station. If the shutdown threshold is not set reasonably, it may cause services in the base station coverage area to migrate to the same coverage cell after shutdown, resulting in large fluctuations in service performance. This makes it impossible to improve energy saving while ensuring the service performance of the energy-saving coverage area. Summary of the Invention

[0007] This application provides a shutdown control method, apparatus, and equipment for energy-saving communities, which solves the problem that existing energy-saving communities are prone to affecting the service performance of the coverage area due to unreasonable shutdown threshold settings.

[0008] In a first aspect, this application provides a shutdown control method for energy-saving communities, comprising:

[0009] Obtain parameter information of the energy-saving community and its corresponding neighboring cells, wherein the parameter information includes any one of the following: operating parameters, measurement reports, or handover data;

[0010] The corresponding co-coverage cell for the energy-saving cell is determined based on the parameter information;

[0011] The predicted values ​​of service performance parameters of the same coverage cell in a preset second time period are determined by a prediction model, which is established based on the service volume values ​​and service performance parameter values ​​of historical time periods.

[0012] Based on the predicted values ​​of the business performance parameters, determine the shutdown threshold of the energy-saving community;

[0013] Send an instruction message to the energy-saving cell. The instruction message includes the shutdown threshold and is used to instruct the energy-saving cell to enter a shutdown state during the energy-saving period. The energy-saving period is at least one preset period in which the predicted service load of the energy-saving cell is less than the shutdown threshold during the second period.

[0014] In one possible design, the co-coverage corresponding to the energy-saving cell has the same wireless signal coverage area as the energy-saving cell.

[0015] In one possible design, the parameter information includes engineering parameters, which include the distance and azimuth difference between the energy-saving cell and the base station corresponding to the neighboring cell to be determined. Determining the co-coverage cell corresponding to the energy-saving cell based on the parameter information includes:

[0016] Obtain the distance and azimuth difference between the base station corresponding to the energy-saving cell and the neighboring cell to be determined;

[0017] If the distance is less than a preset distance threshold and the azimuth difference is less than a preset angle threshold, then the neighboring cell to be determined is a cell with the same coverage.

[0018] In one possible design, the parameter information includes a measurement report, and determining the corresponding co-coverage cell for the energy-saving cell based on the parameter information includes:

[0019] Obtain measurement reports of access to the energy-saving cell within a preset first historical time period, wherein each measurement report carries the signal strength of the energy-saving cell and the neighboring cells to be determined;

[0020] Measurement reports in which the difference in signal strength between the neighboring cell to be determined and the energy-saving cell is less than a preset signal strength threshold are marked as target measurement reports;

[0021] If the ratio of the number of target measurement reports corresponding to the neighboring cell to be determined to the total number of measurement reports is greater than a preset first threshold, then the neighboring cell to be determined is a cell with the same coverage.

[0022] In one possible design, the parameter information includes handover data, and determining the corresponding co-coverage cell for the energy-saving cell based on the parameter information includes:

[0023] Obtain the handover data of the energy-saving cell within a preset second historical time period, wherein the handover data includes the source cell and the target cell for each handover;

[0024] The handover data of the source cell or target cell, including the neighboring cells to be determined, shall be used as the target handover data of the neighboring cells to be determined.

[0025] If the ratio of the number of target handover data corresponding to the neighbor cell to be determined to the total number of handover data is greater than a preset second threshold, then the neighbor cell to be determined is a cell with the same coverage.

[0026] In one possible design, obtaining the predicted service performance parameters of the co-coverage cell within a preset second time period through a prediction model includes:

[0027] Obtain the predicted total traffic volume of the same coverage cell during the second time period, which includes N consecutive preset periods in time, where N≥1;

[0028] The prediction model includes a first prediction model. The predicted total business volume is input into the first prediction model, and the predicted business performance parameter is obtained based on the output of the first prediction model. The first prediction model is trained by multiple test business volume values ​​and test business performance parameter values.

[0029] The test service volume value is the sum of uplink data traffic, downlink data traffic, or uplink data traffic and downlink data traffic during the test period. The test service performance parameter value includes at least one of the following during the test period: connection rate, handover success rate, service transmission latency, and service transmission rate.

[0030] In one possible design, obtaining the predicted total traffic volume of the same coverage cell within a preset period includes:

[0031] The prediction model also includes a second prediction model. The second time period is input into the second prediction model, and the first traffic volume prediction value of the energy-saving cell and the cell with the same coverage is obtained according to the output of the second prediction model. The second prediction model is trained based on multiple test traffic volume values ​​and test time periods corresponding to the test traffic volume values.

[0032] Obtain a second traffic volume forecast value, which is the ratio of the first traffic volume forecast value of the energy-saving community to the total traffic volume of the corresponding community with the same coverage.

[0033] The total traffic volume forecast value is the sum of the first traffic volume forecast value and the second traffic volume forecast value.

[0034] In one possible design, obtaining the shutdown threshold of the energy-saving cell based on the predicted value of the service performance parameters includes:

[0035] The preset period in which the predicted values ​​of the service performance parameters of all the same covered cells are greater than the corresponding service performance thresholds is marked as the target period.

[0036] The target period is input into the third prediction model. Based on the output of the third prediction model, the predicted service load value corresponding to the target period in the second time period is obtained. The third prediction model is trained based on multiple test service load values ​​and test time periods corresponding to the test service load values.

[0037] The shutdown threshold is the maximum value among all the predicted service load values.

[0038] In one possible design, the service performance threshold corresponding to the same coverage cell is:

[0039] (α*Average value of first business performance parameter + β*Average value of second business performance parameter)*(1-Variation ratio);

[0040] Wherein, the first average service performance parameter is the average service performance parameter of the energy-saving cell within a preset historical period, the second average service performance parameter is the average service performance parameter of the co-coverage cell within a preset historical period, α and β are weighting coefficients, and α+β=1, and the fluctuation ratio is used to reflect the maximum percentage decrease in service performance of the co-coverage cell after the energy-saving cell is turned off.

[0041] In one possible design, before determining the corresponding co-coverage cell for the energy-saving cell, the following is also included:

[0042] Obtain performance data for each cell within a preset area during a preset third historical time period, wherein the performance data includes at least one of service load parameters, service performance parameter values, and energy consumption parameters;

[0043] Based on the performance data, a shutdown weight is obtained, and any cell whose shutdown weight is greater than a preset weight is identified as an energy-saving cell. The larger the shutdown weight, the lower the service load, the smaller the service performance parameter value, or the higher the energy consumption of the corresponding cell.

[0044] Secondly, embodiments of this application provide a shutdown control device for an energy-saving community, including an acquisition module for acquiring parameter information of the energy-saving community and its neighboring communities, wherein the parameter information includes any one of operating parameters, measurement reports, or switching data.

[0045] The processing module is used to determine the corresponding co-coverage cell of the energy-saving cell based on the parameter information, obtain the predicted value of the service performance parameters of the co-coverage cell in a preset second time period through a prediction model, and determine the shutdown threshold of the energy-saving cell based on the predicted value of the service performance parameters. The prediction model is established based on the service volume value and service performance parameter value of historical time periods.

[0046] A sending module is used to send an indication message to the energy-saving base station. The indication message includes the shutdown threshold and is used to instruct the energy-saving base station to enter a shutdown state during an energy-saving period when the service load value is less than the shutdown threshold. The energy-saving period is at least one preset period during the second time period when the predicted service load value of the energy-saving cell is less than the shutdown threshold.

[0047] In one possible design, the parameter information includes engineering parameters, which include the distance and azimuth difference between the energy-saving cell and the base station corresponding to the neighboring cell to be determined;

[0048] The acquisition module is specifically used to acquire the distance and azimuth difference between the energy-saving cell and the base station corresponding to the neighboring cell to be determined;

[0049] The processing module is specifically used to determine the neighboring cell to be determined as a cell with the same coverage if the distance is less than a preset distance threshold and the azimuth difference is less than a preset angle threshold.

[0050] In one possible design, the parameter information includes a measurement report;

[0051] The acquisition module is specifically used to acquire measurement reports of access to the energy-saving cell within a preset first historical time period, wherein each measurement report carries the signal strength of the energy-saving cell and the neighboring cells to be determined;

[0052] The processing module is specifically used for:

[0053] Measurement reports in which the difference in signal strength between the neighboring cell to be determined and the energy-saving cell is less than a preset signal strength threshold are marked as target measurement reports;

[0054] If the ratio of the number of target measurement reports corresponding to the neighboring cell to be determined to the total number of measurement reports is greater than a preset first threshold, then the neighboring cell to be determined is determined as a cell with the same coverage.

[0055] In one possible design, the parameter information includes switching data;

[0056] The acquisition module is specifically used to acquire the handover data of the energy-saving cell within a preset second historical time period, wherein the handover data includes the source cell and the target cell for each handover.

[0057] The processing module is specifically used for:

[0058] The handover data of the source cell or target cell, including the neighboring cells to be determined, shall be used as the target handover data of the neighboring cells to be determined.

[0059] If the ratio of the number of target handover data corresponding to the neighbor cell to be determined to the total number of handover data is greater than a preset second threshold, then the neighbor cell to be determined is determined as a cell with the same coverage.

[0060] In one possible design, the prediction model includes a first prediction model, and the processing module is specifically used for:

[0061] Obtain the predicted total traffic volume of the same coverage cell during the second time period, which includes N consecutive preset periods in time, where N≥1;

[0062] The predicted total traffic volume is input into the first prediction model, and the predicted traffic performance parameter is obtained based on the output of the first prediction model. The first prediction model is trained from multiple test traffic volume values ​​and test traffic performance parameter values.

[0063] The test service volume value is the sum of uplink data traffic, downlink data traffic, or uplink data traffic and downlink data traffic during the test period. The test service performance parameter value includes at least one of the following during the test period: connection rate, handover success rate, service transmission latency, and service transmission rate.

[0064] In one possible design, the prediction model further includes a second prediction model, and the processing module is specifically used for:

[0065] The second time period is input into the second prediction model. Based on the output of the second prediction model, the first traffic volume prediction value of the energy-saving cell and the cell with the same coverage is obtained. The second prediction model is trained based on multiple test traffic volume values ​​and the test time period corresponding to the test traffic volume values.

[0066] Obtain a second traffic volume forecast value, which is the ratio of the first traffic volume forecast value of the energy-saving community to the total traffic volume of the corresponding community with the same coverage.

[0067] The total traffic volume forecast value is the sum of the first traffic volume forecast value and the second traffic volume forecast value.

[0068] In one possible design, the processing module is specifically used for:

[0069] The preset period in which the predicted values ​​of the service performance parameters of all the same covered cells are greater than the corresponding service performance thresholds is marked as the target period.

[0070] The target period is input into the third prediction model. Based on the output of the third prediction model, the predicted service load value corresponding to the target period in the second time period is obtained. The third prediction model is trained based on multiple test service load values ​​and test time periods corresponding to the test service load values.

[0071] The shutdown threshold is the maximum value among all the predicted service load values.

[0072] In one possible design, the acquisition module is specifically used to acquire the service performance parameters of the energy-saving cell and the cell with the same coverage within a preset historical period.

[0073] The processing module is specifically used for:

[0074] The average value of the first service performance parameter is obtained based on the service performance parameters of the energy-saving cell within a preset historical period, and the average value of the second service performance parameter is obtained based on the service performance parameters of the cell with the same coverage within a preset historical period.

[0075] The service performance threshold is obtained based on the average value of the first service performance parameter and the average value of the second service performance parameter:

[0076] (α*Average value of first business performance parameter + β*Average value of second business performance parameter)*(1-Variation ratio);

[0077] Wherein, α and β are weighting coefficients, and α+β=1. The fluctuation ratio is used to reflect the maximum percentage decrease in service performance of the same coverage cell after the energy-saving cell is turned off.

[0078] In one possible design, the acquisition module is specifically used to acquire performance data of each cell within a preset area during a preset third historical period, wherein the performance data includes at least one of service load parameters, service performance parameter values, and energy consumption parameters.

[0079] The processing module is specifically used to obtain a shutdown weight value based on the performance data, and to determine any cell whose shutdown weight value is greater than a preset weight value as the energy-saving cell. The larger the shutdown weight value, the lower the service load, the smaller the service performance parameter value, or the higher the energy consumption of the corresponding cell.

[0080] Thirdly, embodiments of this application provide a shutdown control device for an energy-saving community, including a processor and a memory;

[0081] The memory is used to store computer execution instructions, and the processor is used to execute the computer execution instructions stored in the memory to implement the shutdown control method of the energy-saving community as described in any one of the first aspects above.

[0082] The energy-saving cell shutdown control method, apparatus, and equipment provided in this application involve obtaining parameter information of neighboring cells corresponding to the energy-saving cell, determining co-covering cells based on the parameter information, obtaining predicted service performance parameters of co-covering cells in a second time period, obtaining a shutdown threshold for the energy-saving cell based on the predicted service performance parameters, and then sending an indication message containing the shutdown threshold to the energy-saving cell to instruct the energy-saving cell to enter a shutdown state during energy-saving periods when the service load is less than the shutdown threshold. In other words, this application adaptively determines the shutdown threshold of the energy-saving cell based on the predicted service performance parameters of co-covering cells. When the service load of the energy-saving cell is less than the shutdown threshold, the energy-saving cell is shut down. At this time, the predicted service performance parameters of co-covering cells meet the service requirements of the coverage area of ​​the energy-saving cell, which can reduce energy consumption while ensuring service performance within the coverage area of ​​the energy-saving cell. Attached Figure Description

[0083] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0084] Figure 1 This is a schematic diagram illustrating energy-saving communities and communities with the same coverage.

[0085] Figure 2 A flowchart illustrating the shutdown control method for energy-saving communities provided in this application embodiment. Figure 1 ;

[0086] Figure 3 A flowchart illustrating the shutdown control method for energy-saving communities provided in this application embodiment. Figure 2 ;

[0087] Figure 4 A schematic diagram of the structure of the shutdown control device for an energy-saving community provided in an embodiment of this application;

[0088] Figure 5 This is a schematic diagram of the structure of the shutdown control device for an energy-saving community provided in an embodiment of this application. Detailed Implementation

[0089] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the 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 this application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this application as detailed in the appended claims, and not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of this application without inventive effort are within the scope of protection of this application.

[0090] First, the relevant concepts or terms involved in this application will be explained:

[0091] Cell: In mobile communication, the area covered by wireless signals is called a cell. Generally, it refers to the range that the signal of a base station can cover. For example, if a base station has an effective coverage distance of 10km, then a circle is drawn with the base station as the center and 10km as the radius. This circle is the cell formed by the coverage of the base station.

[0092] Energy-saving cell: When multiple base stations cover the same area simultaneously, one base station serves as the basic coverage layer base station, while the others are designated as capacity layer base stations. When the service load of a capacity layer base station is low, all of its radio frequency channels are shut down. This achieves energy saving while allowing the basic coverage layer base station to operate normally and provide network services to UEs in the area. The cell configured with the shut-down capacity layer base station is called an energy-saving cell.

[0093] Energy-saving base station: The base station where the energy-saving community is located.

[0094] Cells with the same coverage area: Cells that share the same wireless signal coverage area.

[0095] Currently, the mainstream energy-saving functions of base stations, such as symbol shutdown, channel shutdown, and carrier frequency shutdown, are basically achieved by turning on the base station function switch, configuring the corresponding threshold parameters, and issuing activation commands to shut down the cell, causing the energy-saving cell to go into hibernation and achieve the energy-saving effect. However, the shutdown of the energy-saving cell is an external operation of the base station, not triggered internally. It is generally done manually based on experience to select the energy-saving cell and the time period for the energy-saving cell shutdown. Within this time period, a shutdown threshold is also manually determined. When the service load of the energy-saving cell is less than the preset shutdown threshold, an activation command is issued to shut down the cell.

[0096] This technology is primarily used in scenarios where multiple base stations provide coverage simultaneously within the same area, such as... Figure 1 As shown. However, the current shutdown control methods for energy-saving communities only consider the service needs of the energy-saving community itself. If the shutdown threshold is set unreasonably, shutting down the energy-saving community will cause all services within the coverage area of ​​the energy-saving community to migrate to the same coverage community, resulting in large fluctuations in service performance. It is impossible to improve the energy-saving effect while ensuring the service performance of the coverage area of ​​the energy-saving community.

[0097] To avoid the aforementioned technical problems, this application improves the shutdown control method for energy-saving cells. By identifying at least one co-covering cell corresponding to the energy-saving cell within a preset area, and based on the predicted service performance parameters of each co-covering cell within a preset future time period, a shutdown threshold for the energy-saving cell is determined. An indication message is then sent to the energy-saving base station corresponding to the energy-saving cell, instructing the energy-saving cell to enter a shutdown state according to the corresponding shutdown threshold. That is, the shutdown threshold of the energy-saving cell is matched with the predicted service performance values ​​of the co-covering cell. After shutting down the energy-saving cell, the service performance parameter values ​​of the co-covering cell also meet the service performance threshold requirements, thereby ensuring service performance within the coverage area of ​​the energy-saving cell while shutting down the energy-saving cell to save energy.

[0098] The technical solution of this application and how the technical solution of this application solves the above-mentioned technical problems are described in detail below with specific embodiments. These specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described again in some embodiments. The embodiments of this application will now be described with reference to the accompanying drawings.

[0099] Figure 2 Flowchart of the power-off control method for energy-saving communities provided in this application embodiment Figure 1 .like Figure 2 As shown, the method includes:

[0100] S201. Obtain parameter information of the energy-saving community and its corresponding neighboring cells. The parameter information includes any one of the following: operating parameters, measurement reports, or handover data.

[0101] Among them, the neighboring area corresponding to the energy-saving community refers to the community adjacent to the energy-saving community.

[0102] In this embodiment of the application, by obtaining the parameter information of these cells, the corresponding cells with the same coverage as the energy-saving cells can be filtered out.

[0103] Among them, the engineering parameters are information that has been determined during the construction of the base station and can be obtained directly, while the measurement report and handover data can be obtained through the energy-saving base station corresponding to the energy-saving cell.

[0104] S202. Determine the corresponding coverage area for the energy-saving community based on the parameter information;

[0105] In this embodiment, the parameter information can intuitively reflect the degree of overlap between the service coverage of neighboring cells and energy-saving cells. Based on these parameter information, the cells with the same coverage can more accurately determine the cells that users in the coverage area of ​​the energy-saving cell will need to access after the energy-saving cell is turned off, which is beneficial for determining the appropriate shutdown threshold in the later stage.

[0106] S203. Obtain the predicted values ​​of service performance parameters of the same coverage cell in the preset second time period through the prediction model, wherein the prediction model is established based on the service volume value and service performance parameter value of the historical time period;

[0107] In this embodiment, the prediction model is used to obtain predicted values ​​of business performance parameters for a future time period, reflecting the correspondence between business performance parameter values ​​and business volume values. It is a function model between business volume values ​​and business performance parameter values. The prediction model can be trained based on the business volume values ​​and business performance parameter values ​​in historical time periods, so that the trained prediction model can accurately obtain the corresponding predicted values ​​of business performance parameters based on the predicted business volume values ​​for the second time period.

[0108] S204. Obtain the shutdown threshold of the energy-saving community based on the predicted values ​​of business performance parameters;

[0109] In this embodiment, the shutdown threshold is determined by combining the predicted service performance parameters for the corresponding time period with the service load value of the energy-saving cell. This ensures that the shutdown threshold of the energy-saving cell matches the predicted service performance of the cell with the same coverage area, thus avoiding a significant drop in service performance after the energy-saving cell is shut down, which could negatively impact user experience.

[0110] Specifically, the second time period can be divided into multiple consecutive preset periods. The predicted service performance parameters for each preset period can be compared with the service performance threshold for the corresponding cell. The preset period in which the predicted service performance parameters for all cells in the same coverage are greater than the corresponding service performance threshold can be determined as the target period. The predicted service load for the energy-saving base station in each target period can be obtained, and the maximum value among all predicted service loads can be used as the shutdown threshold.

[0111] The preset period is the time granularity corresponding to the statistical or predicted values ​​of various parameters. Its value can be determined according to the actual situation, such as 15 minutes.

[0112] S205. Send an indication message to the energy-saving base station corresponding to the energy-saving cell. The indication message includes a shutdown threshold and is used to instruct the energy-saving base station to enter a shutdown state during an energy-saving period when the service load value is less than the shutdown threshold. The energy-saving period is at least one preset cycle, or consists of multiple consecutive preset cycles. In this embodiment, by sending an indication message to the energy-saving cell, the shutdown threshold is dynamically configured, adapting to differentiated service performance requirements and achieving energy-saving effects while meeting service performance requirements.

[0113] Figure 3 A flowchart illustrating the shutdown control method for energy-saving communities provided in this application embodiment. Figure 2 ,like Figure 3 As shown in the embodiments of this application, the shutdown control method for energy-saving communities includes the following steps:

[0114] S301. Identify energy-saving communities within the preset area;

[0115] Specifically, the selection of energy-saving communities can be done either by direct manual designation or by following two methods:

[0116] The first method involves directly determining energy-efficient communities based on configuration data, including:

[0117] Any one of the communities within the preset area that has the energy-saving attribute of being able to be turned off, the frequency band of the target frequency band, and the network standard of the target standard will be designated as an energy-saving community.

[0118] Specifically, each cell's energy-saving attributes include two types: those that can be turned off and those that cannot. For example, if the cell's coverage area is a VIP protection area or a private network area, then energy saving cannot be turned off, and the corresponding energy-saving attribute is "cannot be turned off"; otherwise, it is "can be turned off". The target frequency band is a preset frequency band, for example, the highest frequency band in the preset area is used as the target frequency band, and the target network standard is a preset network standard, for example, 3G or 4G is used as the target standard. When selecting energy-saving cells, the target frequency band and target standard can be set to the frequency band and network standard corresponding to the cells that are prioritized for shutdown in the preset area.

[0119] This method of selecting energy-saving cells is based on cell configuration data. Specifically, cells with energy-saving attributes that allow shutdown, or cells operating on specified frequency bands or using specified network standards, within a pre-defined area are designated as energy-saving cells to be shut down. This allows for prioritizing the shutdown of cells with specified frequency bands or network standards, or disallowing the shutdown of certain designated cells, by setting cell energy-saving attributes, shutdownable frequency bands, and network standards, to meet differentiated energy-saving needs. For example, prioritizing the shutdown of high-frequency cells while enabling low-frequency cells can save energy while utilizing the wide coverage of low-frequency cells to meet signal coverage requirements. Similarly, prioritizing the shutdown of high-energy-consuming 5G cells while enabling low-energy-consuming 4G cells can reduce the total energy consumption of the energy-saving cell coverage area. Furthermore, setting the energy-saving attribute of certain designated cells to be non-shutdown can avoid shutting down cells in VIP areas or private network areas with high service performance requirements, thus meeting the service needs of those areas.

[0120] The second method involves determining energy-efficient communities based on performance data, including:

[0121] Obtain performance data for each cell within a preset area during a preset third historical period. The performance data includes at least one of the following: service load parameters, service performance parameter values, and energy consumption parameters.

[0122] Specifically, service load parameters can be defined as any one of PRB resource utilization and RRC connection count; service performance parameters include any one of call completion rate, handover success rate, service transmission latency, and service transmission rate; energy consumption parameters are defined as the energy consumption of the base station equipment where the cell is located. Of course, these data can be obtained directly from the base station corresponding to the cell.

[0123] The shutdown weight is obtained based on performance data. Any cell with a shutdown weight greater than the preset weight is identified as an energy-saving cell. The larger the shutdown weight, the lower the service load, the smaller the service performance parameter value, or the higher the energy consumption of the corresponding cell.

[0124] For example, the shutdown weight can be defined as the ratio of a first average to a second average within a preset historical period. The first average can be defined as a combination of any one or more of the average energy consumption and the average service transmission delay. The second average can be defined as a combination of any one or more of the average connection rate, the average handover success rate, and the average service load.

[0125] The following will use the average energy consumption and average service transmission latency as examples to illustrate the calculation method for the combined value of multiple parameters:

[0126] The third historical period is divided into multiple consecutive time periods. The energy consumption parameters and service transmission latency corresponding to each time period are obtained, and the average energy consumption and average service transmission latency are calculated based on the divided time periods.

[0127] The combined value of the average energy consumption and the average service transmission delay can be defined as:

[0128] (Average energy consumption / Preset energy consumption) * (Average service transmission delay / Preset delay);

[0129] Alternatively, a*(average energy consumption / preset energy consumption)+b*(average service transmission delay / preset delay), where a and b are weighting coefficients, ranging from 0 to 1, and a+b=1. The values ​​can be determined according to actual needs, such as based on the importance of energy consumption and service transmission delay within the preset range.

[0130] This method of selecting energy-saving communities is based on the performance data of each community over a historical period. That is, based on energy consumption, service performance, and service load parameters, communities with high energy consumption, poor service performance, and low load are prioritized for shutdown as energy-saving communities, thereby reducing the total energy consumption of the preset area and improving service performance.

[0131] S302. Obtain parameter information of neighboring cells corresponding to the energy-saving cell, and determine at least one co-coverage cell corresponding to the energy-saving cell based on the parameter information;

[0132] Specifically, the parameter information can be any of the following: engineering parameters, measurement reports, or switching data.

[0133] When the parameter information is a working parameter:

[0134] The engineering parameters include the distance and azimuth difference between the base station corresponding to the energy-saving cell and the neighboring cell to be determined.

[0135] Specifically, determining the same coverage cell through engineering parameters includes the following steps:

[0136] Obtain the distance and azimuth difference between the base station corresponding to the energy-saving cell and the neighboring cell to be determined;

[0137] If the distance is less than the preset distance threshold and the azimuth difference is less than the preset angle threshold, then the neighboring cell to be determined is a cell with the same coverage.

[0138] Specifically, the corresponding engineering parameters are determined during the construction of the base station and can be directly input. The distance can be calculated based on the latitude and longitude of the base station, and the azimuth difference can be calculated based on the azimuth information.

[0139] Determining co-coverage cells through measurement reports includes the following steps:

[0140] Obtain measurement reports of the energy-saving cell within a preset first historical time period, wherein each measurement report carries the signal strength of the energy-saving cell and the neighboring cells to be determined;

[0141] Measurement reports in which the difference in signal strength between the neighboring cell to be determined and the energy-saving cell is less than the preset signal strength threshold are marked as target measurement reports;

[0142] If the ratio of the number of target measurement reports corresponding to the neighboring cell to be determined to the total number of measurement reports is greater than a preset first threshold, then the neighboring cell to be determined is a cell with the same coverage.

[0143] Specifically, through the energy-saving base station, multiple measurement reports from multiple users accessing the energy-saving cell within the first historical time period can be obtained. Each measurement report carries the signal strength of the energy-saving cell and its neighboring cells. Alternatively, the energy-saving base station can determine the co-coverage cells using this method and directly obtain the co-coverage cells from the energy-saving base station.

[0144] Determining co-coverage cells by handing over data includes the following steps:

[0145] Obtain the handover data of energy-saving cells within a preset second historical time period, wherein the handover data includes the source cell and the target cell for each handover;

[0146] Use the handover data of the source cell or target cell, including the neighboring cells to be determined, as the target handover data of the neighboring cells to be determined;

[0147] If the ratio of the number of target handover data corresponding to the neighboring cell to be determined to the total number of handover data is greater than the preset second threshold, then the neighboring cell to be determined is a cell with the same coverage.

[0148] Specifically, handover data for the second historical time period can be obtained through energy-efficient base stations. Alternatively, the energy-efficient base station can first determine the co-coverage cells according to the above steps, and then the co-coverage cells can be obtained directly from the energy-efficient base station.

[0149] S303. Based on the preset second time period, obtain the first traffic volume prediction value of the energy-saving cell and each cell with the same coverage during the second time period through the prediction model;

[0150] The prediction model includes a second prediction model, which is trained based on multiple test business volume values ​​and the test periods corresponding to those values.

[0151] Specifically, the preset historical time period is divided into multiple test periods, each including at least one time period corresponding to a preset cycle. The traffic volume value of the cell within each test period is obtained, and this traffic volume value is used as the corresponding test traffic volume value. For example, the preset historical time period is 7*24 hours, and the test period is 15 minutes. The parameter of the traffic volume value can be defined as uplink data traffic or downlink data traffic, or the sum of uplink data traffic and downlink data traffic.

[0152] The obtained test periods and test business volume values ​​are used as sample data and input into a preset function model for training to obtain the second prediction model. This second prediction model reflects the one-to-one correspondence between each time period and the business volume value. For example, the second prediction model can employ existing time series prediction models, such as ARIMA, PROPHET, LSTM, neural network algorithms, etc.

[0153] When the first business volume forecast value is needed, the second time period can be directly input into the second forecast model, or the second time period can be divided into multiple preset periods, and the preset periods can be input into the second forecast model to obtain multiple first business volume forecast values. For example, the second time period can be the next 24 hours, and the preset period is 15 minutes.

[0154] S304. Based on the first traffic volume forecast value, determine the second traffic volume forecast value for each covered cell in the second time period;

[0155] Specifically, the second traffic volume forecast = the first traffic volume forecast of the energy-saving community / the number of communities with the same coverage corresponding to the energy-saving community.

[0156] For example, assuming the second time period includes N temporally consecutive preset cycles, the first business volume prediction value of the energy-saving cell corresponding to each preset cycle is represented as {D1, D2, ..., D...} N}, where D i Let represent the first traffic volume forecast value corresponding to the i-th preset period within a preset future time; if the number of co-covered cells corresponding to the energy-saving cell is M, then the second traffic volume forecast value of each co-covered cell within a preset future time can be expressed as .

[0157] S305. Based on the first traffic volume forecast value and the second traffic volume forecast value, obtain the total traffic volume forecast value for each covered cell in the second time period.

[0158] The total traffic volume forecast for the same coverage cell is the sum of the first traffic volume forecast and the second traffic volume forecast for the same coverage cell, which can yield multiple total traffic volume forecasts corresponding to different preset periods.

[0159] The total traffic volume forecast of the same coverage cell during the second time period is divided into a first traffic volume forecast and a second traffic volume forecast. The first traffic volume forecast represents the traffic volume of users who initially access the same coverage cell, and the second traffic volume forecast represents the traffic volume brought by users who migrate from the energy-saving cell to the same coverage cell after the energy-saving cell is turned off. By determining these two traffic volume forecasts, the traffic volume of the same coverage cell can be accurately predicted when the energy-saving cell is turned off. Based on this, the service performance corresponding to different traffic volume forecasts can be further evaluated, and the shutdown threshold that meets the service performance requirements can be determined.

[0160] S306. Based on the total traffic volume forecast and the forecast model, determine the predicted service performance parameters for each covered cell in the second time period;

[0161] The prediction model also includes a first prediction model, which is trained by multiple test business volume values ​​and corresponding test business performance parameter values.

[0162] Specifically, the preset historical time period is divided into multiple test periods. Each test period may include at least one historical time period corresponding to a preset period. The service volume value and service performance parameter value corresponding to the covered cell in each test period are obtained. The service volume value is used as the test service volume value, and the service parameter value is used as the test service parameter value to form sample data.

[0163] The sample data is input into the function model for training to obtain the first prediction model. The first prediction model is used to reflect the one-to-one correspondence between business performance parameter values ​​and business volume values. For example, the first prediction model can adopt existing algorithms such as random forest or Xgboost.

[0164] The prediction model is composed of a first prediction model and a second prediction model. The output of the second prediction model is processed to obtain the total traffic volume prediction value. The total traffic volume prediction value is used as the input of the first prediction model to obtain the predicted value of the service performance parameters of the same coverage cell in the second time period.

[0165] In order to determine the predicted values ​​of service performance parameters of the same coverage cell in the second time period, the predicted value of the total traffic volume of the same coverage cell in the second time period is first determined. Then, based on the mapping relationship between the traffic volume value and the service performance parameter value, the predicted value of the service performance parameter is indirectly determined. That is, the embodiments of this application fully explore the inherent correlation between the traffic volume value and the service performance parameter value based on the artificial intelligence model, which can accurately predict the service performance parameters of the cell.

[0166] S307. Determine the shutdown threshold for energy-saving communities based on the predicted values ​​of business performance parameters;

[0167] Specifically, it includes the following steps:

[0168] A preset period in which the predicted values ​​of service performance parameters for all the same covered cells are greater than the corresponding service performance threshold is marked as the target period.

[0169] The shutdown threshold is the maximum value among all predicted service load values.

[0170] For example, the service performance threshold of the same coverage cell can be set manually.

[0171] For example, the service performance threshold of the same coverage cell can be determined as follows:

[0172] The service performance threshold of the same coverage cell = (α * average value of the first service performance parameter + β * average value of the second service performance parameter) * (1 - fluctuation ratio).

[0173] Here, α and β are weighting coefficients, which can be set according to the preset area conditions. For example, they can be determined based on the importance of the service performance parameter values ​​of the energy-saving community and the service performance parameter values ​​of the same coverage community. The values ​​of α and β are both 0 to 1, and α + β = 1. The fluctuation ratio is a percentage less than 1, such as 10%. The fluctuation ratio is used to reflect the percentage decrease in service performance of the same coverage community before and after the shutdown of the energy-saving community. The smaller the fluctuation ratio, the closer the service performance is before and after the shutdown.

[0174] The first average service performance parameter is the average service performance parameter of the energy-saving cell within a preset historical period, and the second average service performance parameter is the average service performance parameter of the cell with the same coverage within a preset historical period.

[0175] The method for obtaining the average value of business performance parameters is as follows: the preset historical period is divided into multiple consecutive time periods, which correspond to the time periods of the preset period. The business performance parameter values ​​within each time period are obtained, and the average value of the business performance parameters is obtained by calculation.

[0176] This method assigns a unique service performance threshold to each co-coverage cell. Specifically, it determines the corresponding service performance threshold for each co-coverage cell based on the average service performance parameters and fluctuation ratio of the energy-saving cell and each co-coverage cell over a preset historical period. The fluctuation ratio reflects the maximum tolerable decrease in service performance of the co-coverage cell before and after the energy-saving cell is shut down. For example, a fluctuation ratio of 10% indicates that the service performance of the co-coverage cell can decrease to a maximum of 90% of its pre-shutdown level after the energy-saving cell is shut down. Compared to methods that use a fixed service performance threshold for each co-coverage cell, differentiated service performance thresholds can dynamically match the service performance characteristics of the energy-saving cell and each co-coverage cell, thus ensuring the service performance of the co-coverage cell even when the energy-saving cell is shut down.

[0177] That is, when the service performance of the energy-saving cell and the cell with the same coverage is good within a preset historical period, the corresponding service performance threshold is relatively high, and the service performance of the cell with the same coverage is also good after the energy-saving cell is turned off; conversely, the corresponding service performance threshold is relatively low, and the service performance of the cell with the same coverage is also poor after the energy-saving cell is turned off. In this way, the service performance obtained by users in the energy-saving area before and after the shutdown is consistent, avoiding the problem of a significant drop in service performance after the cell is turned off, which affects the user's perception.

[0178] The target period is input into the third prediction model. Based on the output of the third prediction model, the predicted business load value corresponding to the target period is obtained. The third prediction model is trained by multiple test business load values ​​and test periods corresponding to the test business load values.

[0179] Specifically, the preset historical time period is divided into multiple test periods, the business load value corresponding to each test period is obtained as the test business load value, and the test business load value and the corresponding test period are used as sample data.

[0180] The third prediction model is obtained by training the function model with sample data. This third prediction model reflects the one-to-one correspondence between time periods and business load values. For example, the third prediction model can adopt existing time series prediction models, such as ARIMA, PROPHET, LSTM, neural network algorithms, etc.

[0181] The maximum value among the predicted service load values ​​of all energy-saving communities corresponding to the target period is determined as the shutdown threshold of the energy-saving community.

[0182] In this embodiment, the shutdown threshold of the energy-saving cell is adaptively determined based on the predicted service performance parameters of the same coverage cell, so that the shutdown threshold of the energy-saving cell matches the predicted service performance of the same coverage cell. That is, when the predicted service load of the energy-saving cell is not greater than the shutdown threshold, the predicted service performance parameters of the same coverage cell meet the service performance threshold requirements after the energy-saving cell is shut down. In this way, the service performance within the coverage area of ​​the energy-saving cell can be guaranteed while shutting down the energy-saving cell to save energy consumption.

[0183] S308. Send an instruction message to the energy-saving base station to instruct the energy-saving cell to enter the shutdown state during the energy-saving period according to the corresponding shutdown threshold;

[0184] Specifically, the instruction message can carry information such as the community identifier, the shutdown threshold corresponding to the energy-saving community, and the second time period.

[0185] According to the instructions in the instruction message, the energy-saving community can enter the shutdown state during the energy-saving period. The energy-saving period is a preset period of multiple consecutive times in the second period when the predicted value of the service load of the energy-saving community is less than the shutdown threshold.

[0186] That is, the energy-saving period can consist of at least one preset period that is continuous in time, and the predicted business load of the energy-saving cell is less than the shutdown threshold in each preset period.

[0187] It should be noted that before the energy-saving cell enters the shutdown state, an air interface message can be sent to each user connected to the energy-saving cell to instruct each user to reconnect to the cell with the same coverage to maintain network connectivity.

[0188] This application embodiment can determine the shutdown threshold of the energy-saving cell based on the predicted service performance parameters of each co-coverage cell within a preset second time period. This enables adaptive determination of the shutdown threshold of the energy-saving cell based on service performance prediction, ensuring service performance in the coverage area of ​​the energy-saving cell while saving energy. Specifically, it has the following advantages:

[0189] Based on the predicted service performance parameters of the same coverage cell, the shutdown threshold of the energy-saving cell is adaptively determined. This ensures that the shutdown threshold of the energy-saving cell matches the predicted service performance of the same coverage cell. In other words, when the predicted service load of the energy-saving cell is not greater than the shutdown threshold, the predicted service performance parameters of the same coverage cell will meet the service performance threshold requirements after the energy-saving cell is shut down. In this way, the service performance within the coverage area of ​​the energy-saving cell can be guaranteed while shutting down the energy-saving cell to save energy consumption.

[0190] After determining the shutdown threshold corresponding to the energy-saving cell, the shutdown threshold and the corresponding second time period information are sent to the energy-saving cell by sending an instruction message. Compared with the existing method of presetting the shutdown threshold of each cell on the base station side, the embodiment of this application can dynamically configure the shutdown threshold of the energy-saving cell based on service performance prediction, which can adapt to differentiated service performance requirements and achieve energy saving effect while meeting service performance requirements.

[0191] If energy-saving cells are identified based on cell configuration data, cells of specific frequency bands and network standards can be prioritized for shutdown, or certain designated cells can be prevented from being shut down, in order to meet differentiated energy-saving needs. If energy-saving cells are identified based on the performance data of each cell within a preset historical period, cells with high energy consumption, poor service performance, and low load can be prioritized for shutdown as energy-saving cells, which can reduce the total energy consumption of the preset area and improve service performance.

[0192] The total traffic volume prediction value of the same coverage cell within a preset second time period is divided into a first traffic volume prediction value and a second traffic volume prediction value. The first traffic volume prediction value represents the traffic volume of users initially accessing the same coverage cell, and the second traffic volume prediction value represents the traffic volume brought by users migrating from the energy-saving cell to the same coverage cell after the energy-saving cell is turned off. By determining these two traffic volume prediction values, the traffic volume of the same coverage cell can be accurately predicted when the energy-saving cell is turned off. Furthermore, based on the mapping relationship between traffic volume and service performance parameters, the predicted values ​​of service performance parameters can be indirectly determined. In other words, by fully exploring the inherent correlation between traffic volume and service performance parameters based on an artificial intelligence model, the service performance parameters of the cell can be accurately predicted.

[0193] Based on the average service performance parameters and fluctuation ratios of the energy-saving cell and each co-coverage cell within a preset historical period, a corresponding service performance threshold is determined for each co-coverage cell. The fluctuation ratio reflects the maximum tolerable decrease in service performance of the co-coverage cell before and after the energy-saving cell is shut down. Compared to using a fixed service performance threshold for each co-coverage cell, differentiated service performance thresholds can dynamically match the service performance characteristics of the energy-saving cell and each co-coverage cell. This ensures consistency in the service performance received by UEs within the energy-saving area before and after shutdown, avoiding the problem of significant performance degradation after cell shutdown that affects user experience.

[0194] Figure 4 For the energy-saving community shutdown control device provided in the embodiments of this application, please refer to [link to relevant documentation]. Figure 4 As shown, the device includes:

[0195] The acquisition module 401 is used to acquire parameter information of the energy-saving community and the neighboring cells corresponding to the energy-saving community. The parameter information includes any one of the following: operating parameters, measurement reports or handover data.

[0196] The processing module 402 is used to determine the corresponding co-coverage cell of the energy-saving cell according to the parameter information, obtain the predicted value of the service performance parameters of the co-coverage cell in the preset second time period through the prediction model, and determine the shutdown threshold of the energy-saving cell according to the predicted value of the service performance parameters. The prediction model is established based on the service volume value and service performance parameter value of the historical time period.

[0197] The sending module 403 is used to send an indication message to the energy-saving base station. The indication message includes a shutdown threshold and is used to instruct the energy-saving base station to enter the shutdown state during the energy-saving period when the service load value is less than the shutdown threshold.

[0198] In one embodiment of this application, the acquisition module 401 is further configured to acquire configuration data or performance data of energy-saving cells, wherein the configuration data includes energy-saving attributes such as "can be turned off", frequency band such as "target frequency band", and network type such as "target network type", and the performance data includes at least one of service load parameters, service performance parameter values, and energy consumption parameters. The processing module 402 is configured to determine energy-saving cells within a preset area based on the configuration data or performance data.

[0199] In one embodiment of this application, the acquisition module 401 is further configured to acquire the energy-saving cell, the test traffic volume value of the cell within a preset historical time period, the test time period corresponding to the test traffic volume value, and the test service parameter value corresponding to the test traffic volume value of the cell. The processing module 402 is configured to use the test traffic volume value and the test time period corresponding to the test traffic volume value as sample data to train the function model to obtain a second prediction model, and use the test traffic volume value and the test service parameter value corresponding to the test traffic volume value as sample data to train the function model to obtain a first prediction model.

[0200] In one embodiment of this application, the acquisition module 401 is further configured to acquire the average service performance parameters of the energy-saving cell within a preset historical period and the average service performance parameters of the co-coverage cell within the preset historical period. The processing module 402 is configured to obtain the service performance threshold corresponding to the co-coverage cell based on the average service performance parameters of the energy-saving cell within the preset historical period and the average service performance parameters of the co-coverage cell within the preset historical period.

[0201] In one embodiment of this application, the acquisition module 401 is further configured to acquire multiple service test load values ​​of the energy-saving community within a preset historical time period, and the test time period corresponding to the service test load values. The processing module 402 is configured to use the service test load values ​​and the test time period corresponding to the service test load values ​​as sample data to train the function model to obtain a third prediction model.

[0202] The apparatus provided in this embodiment can be used to execute the technical solutions in the above method embodiments. Its implementation principle and technical effect are similar, and will not be described again in this embodiment.

[0203] In the specific implementation of the aforementioned energy-saving community shutdown threshold control device, each module can be implemented as a processor. The processor can execute computer execution instructions stored in the memory, so that the processor executes the aforementioned energy-saving community shutdown control method.

[0204] Figure 5 The power-off control device for the energy-saving community provided in the embodiments of this application, such as Figure 5 The device includes a processor 501 and a memory 502.

[0205] In the specific implementation process, at least one processor 501 executes the computer execution program stored in the memory 502, so that at least one processor 501 executes the energy-saving cell shutdown control method executed on the device side as described above.

[0206] In one possible implementation, the memory 502 can be either standalone or integrated with the processor 501. When the memory 502 is set up independently, the control device also includes a bus 503 for connecting the processor 501 and the memory 502.

[0207] The specific implementation process of processor 501 can be found in the above method embodiments, and its implementation principle and technical effect are similar. It will not be repeated here.

[0208] In the above embodiments, it should be understood that the processor can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), etc. The general-purpose processor can be a microprocessor or any conventional processor. The steps of the method disclosed in this invention can be directly implemented by a hardware processor, or implemented by a combination of hardware and software modules within the processor.

[0209] The memory may include high-speed RAM, and may also include non-volatile storage (NVM), such as at least one disk storage.

[0210] The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. Buses can be categorized as address buses, data buses, control buses, etc. For ease of illustration, the buses shown in the accompanying drawings are not limited to a single bus or a single type of bus.

[0211] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features therein. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of this application.

Claims

1. A shutdown control method for an energy-saving community, characterized in that, include: Obtain parameter information of the energy-saving community and its corresponding neighboring cells, wherein the parameter information includes any one of the following: operating parameters, measurement reports, or handover data; The corresponding co-coverage cell for the energy-saving cell is determined based on the parameter information; The predicted values ​​of service performance parameters of the same coverage cell in a preset second time period are determined by a prediction model, which is established based on the service volume values ​​and service performance parameter values ​​of historical time periods. Based on the predicted values ​​of the business performance parameters, determine the shutdown threshold of the energy-saving community; Send an instruction message to the energy-saving cell. The instruction message includes the shutdown threshold and is used to instruct the energy-saving cell to enter a shutdown state during the energy-saving period. The energy-saving period is at least one preset period in which the predicted service load of the energy-saving cell is less than the shutdown threshold during the second period.

2. The shutdown control method for energy-saving communities according to claim 1, characterized in that, The corresponding co-coverage cell of the energy-saving cell has the same wireless signal coverage area as the energy-saving cell.

3. The shutdown control method for energy-saving communities according to claim 2, characterized in that, The parameter information includes engineering parameters, which include the distance and azimuth difference between the energy-saving cell and the base station corresponding to the neighboring cell to be determined. Determining the co-coverage cell corresponding to the energy-saving cell based on the parameter information includes: Obtain the distance and azimuth difference between the base station corresponding to the energy-saving cell and the neighboring cell to be determined; If the distance is less than a preset distance threshold and the azimuth difference is less than a preset angle threshold, then the neighboring cell to be determined is a cell with the same coverage.

4. The shutdown control method for energy-saving communities according to claim 2, characterized in that, The parameter information includes a measurement report, and determining the corresponding co-coverage cell for the energy-saving cell based on the parameter information includes: Obtain measurement reports of access to the energy-saving cell within a preset first historical time period, wherein each measurement report carries the signal strength of the energy-saving cell and the neighboring cells to be determined; Measurement reports in which the difference in signal strength between the neighboring cell to be determined and the energy-saving cell is less than a preset signal strength threshold are marked as target measurement reports; If the ratio of the number of target measurement reports corresponding to the neighboring cell to be determined to the total number of measurement reports is greater than a preset first threshold, then the neighboring cell to be determined is a cell with the same coverage.

5. The shutdown control method for energy-saving communities according to claim 2, characterized in that, The parameter information includes handover data, and determining the corresponding co-coverage cell for the energy-saving cell based on the parameter information includes: Obtain the handover data of the energy-saving cell within a preset second historical time period, wherein the handover data includes the source cell and the target cell for each handover; The handover data of the source cell or target cell, including the neighboring cells to be determined, shall be used as the target handover data of the neighboring cells to be determined. If the ratio of the number of target handover data corresponding to the neighbor cell to be determined to the total number of handover data is greater than a preset second threshold, then the neighbor cell to be determined is a cell with the same coverage.

6. The shutdown control method for energy-saving communities according to claim 1, characterized in that, The step of obtaining the predicted service performance parameters of the same coverage cell within a preset second time period through a prediction model includes: Obtain the predicted total traffic volume of the same coverage cell during the second time period, which includes N consecutive preset periods in time, where N≥1; The prediction model includes a first prediction model. The predicted total business volume is input into the first prediction model, and the predicted business performance parameter is obtained based on the output of the first prediction model. The first prediction model is trained by multiple test business volume values ​​and test business performance parameter values. The test service volume value is the sum of uplink data traffic, downlink data traffic, or uplink data traffic and downlink data traffic during the test period. The test service performance parameter value includes at least one of the following during the test period: connection rate, handover success rate, service transmission latency, and service transmission rate.

7. The shutdown control method for energy-saving communities according to claim 6, characterized in that, The step of obtaining the predicted total traffic volume of the same coverage cell within a preset period includes: The prediction model also includes a second prediction model. The second time period is input into the second prediction model, and the first traffic volume prediction value of the energy-saving cell and the cell with the same coverage is obtained according to the output of the second prediction model. The second prediction model is trained based on multiple test traffic volume values ​​and test time periods corresponding to the test traffic volume values. Obtain a second traffic volume forecast value, which is the ratio of the first traffic volume forecast value of the energy-saving community to the total traffic volume of the corresponding community with the same coverage. The total traffic volume forecast value is the sum of the first traffic volume forecast value and the second traffic volume forecast value.

8. The shutdown control method for energy-saving communities according to claim 6, characterized in that, The step of obtaining the shutdown threshold of the energy-saving cell based on the predicted value of the service performance parameters includes: The preset period in which the predicted values ​​of the service performance parameters of all the same covered cells are greater than the corresponding service performance thresholds is marked as the target period. The target period is input into the third prediction model. Based on the output of the third prediction model, the predicted service load value corresponding to the target period in the second time period is obtained. The third prediction model is trained based on multiple test service load values ​​and test time periods corresponding to the test service load values. The shutdown threshold is the maximum value among all the predicted service load values.

9. The shutdown control method for energy-saving communities according to claim 8, characterized in that, The service performance threshold corresponding to the same coverage cell is: (α) Average value of first business performance parameter + β (Average of second business performance parameters) (1 - fluctuation ratio); Wherein, the first average service performance parameter is the average service performance parameter of the energy-saving cell within a preset historical period, the second average service performance parameter is the average service performance parameter of the co-coverage cell within a preset historical period, α and β are weighting coefficients, and α+β=1, and the fluctuation ratio is used to reflect the maximum percentage decrease in service performance of the co-coverage cell after the energy-saving cell is turned off.

10. The shutdown control method for energy-saving cells according to any one of claims 1-9, further comprising, before acquiring the parameter information of the energy-saving cell and the neighboring cells corresponding to the energy-saving cell: Obtain performance data for each cell within a preset area during a preset third historical time period, wherein the performance data includes at least one of service load parameters, service performance parameter values, and energy consumption parameters; Based on the performance data, a shutdown weight is obtained, and any cell whose shutdown weight is greater than a preset weight is identified as the energy-saving cell. The larger the shutdown weight, the lower the service load, the smaller the service performance parameter value, or the higher the energy consumption of the corresponding cell.

11. A shutdown control device for an energy-saving community, characterized in that, include: The acquisition module is used to acquire parameter information of the energy-saving community and the neighboring cells corresponding to the energy-saving community. The parameter information includes any one of the following: operating parameters, measurement reports, or handover data. The processing module is used to determine the corresponding co-coverage cell of the energy-saving cell based on the parameter information, obtain the predicted value of the service performance parameters of the co-coverage cell within a preset second time period through a prediction model, and determine the shutdown threshold of the energy-saving cell based on the predicted value of the service performance parameters. The prediction model is established based on the service volume value and service performance parameter value of historical time periods. The sending module is used to send an indication message to the energy-saving cell. The indication message includes the shutdown threshold and is used to indicate that the energy-saving cell enters a shutdown state during the energy-saving period when the service load value is less than the shutdown threshold.

12. The shutdown control device for energy-saving communities according to claim 11, characterized in that, The parameter information includes engineering parameters, which include the distance and azimuth difference between the energy-saving cell and the base station corresponding to the neighboring cell to be determined; The acquisition module is specifically used to acquire the distance and azimuth difference between the energy-saving cell and the base station corresponding to the neighboring cell to be determined; The processing module is specifically used to determine the neighboring cell to be determined as a cell with the same coverage if the distance is less than a preset distance threshold and the azimuth difference is less than a preset angle threshold.

13. The shutdown control device for energy-saving communities according to claim 11, characterized in that, The parameter information includes a measurement report; The acquisition module is specifically used to acquire measurement reports of access to the energy-saving cell within a preset first historical time period, wherein each measurement report carries the signal strength of the energy-saving cell and the neighboring cells to be determined; The processing module is specifically used for: Measurement reports in which the difference in signal strength between the neighboring cell to be determined and the energy-saving cell is less than a preset signal strength threshold are marked as target measurement reports; If the ratio of the number of target measurement reports corresponding to the neighboring cell to be determined to the total number of measurement reports is greater than a preset first threshold, then the neighboring cell to be determined is determined as a cell with the same coverage.

14. The shutdown control device for energy-saving communities according to claim 11, characterized in that, The parameter information includes switching data; The acquisition module is specifically used to acquire the handover data of the energy-saving cell within a preset second historical time period, wherein the handover data includes the source cell and the target cell for each handover. The processing module is specifically used for: The handover data of the source cell or target cell, including the neighboring cells to be determined, shall be used as the target handover data of the neighboring cells to be determined. If the ratio of the number of target handover data corresponding to the neighbor cell to be determined to the total number of handover data is greater than a preset second threshold, then the neighbor cell to be determined is determined as a cell with the same coverage.

15. The shutdown control device for energy-saving communities according to claim 11, characterized in that, The prediction model includes a first prediction model, and the processing module is specifically used for: Obtain the predicted total traffic volume of the same coverage cell during the second time period, which includes N consecutive preset periods in time, where N≥1; The predicted total traffic volume is input into the first prediction model, and the predicted traffic performance parameter is obtained based on the output of the first prediction model. The first prediction model is trained from multiple test traffic volume values ​​and test traffic performance parameter values. The test service volume value is the sum of uplink data traffic, downlink data traffic, or uplink data traffic and downlink data traffic during the test period. The test service performance parameter value includes at least one of the following during the test period: connection rate, handover success rate, service transmission latency, and service transmission rate.

16. The shutdown control device for energy-saving communities according to claim 15, characterized in that, The prediction model further includes a second prediction model, and the processing module is specifically used for: The second time period is input into the second prediction model. Based on the output of the second prediction model, the first traffic volume prediction value of the energy-saving cell and the cell with the same coverage is obtained. The second prediction model is trained based on multiple test traffic volume values ​​and the test time period corresponding to the test traffic volume values. Obtain a second traffic volume forecast value, which is the ratio of the first traffic volume forecast value of the energy-saving community to the total traffic volume of the corresponding community with the same coverage. The total traffic volume forecast value is the sum of the first traffic volume forecast value and the second traffic volume forecast value.

17. The shutdown control device for energy-saving communities according to claim 15, characterized in that, The processing module is specifically used for: The preset period in which the predicted values ​​of the service performance parameters of all the same covered cells are greater than the corresponding service performance thresholds is marked as the target period. The target period is input into the third prediction model. Based on the output of the third prediction model, the predicted service load value corresponding to the target period in the second time period is obtained. The third prediction model is trained based on multiple test service load values ​​and test time periods corresponding to the test service load values. The shutdown threshold is the maximum value among all the predicted service load values.

18. The shutdown control device for energy-saving communities according to claim 17, characterized in that, The acquisition module is specifically used to acquire the service performance parameters of the energy-saving cell and the cell with the same coverage within a preset historical period. The processing module is specifically used for: The average value of the first service performance parameter is obtained based on the service performance parameters of the energy-saving cell within a preset historical period, and the average value of the second service performance parameter is obtained based on the service performance parameters of the cell with the same coverage within a preset historical period. The service performance threshold is obtained based on the average value of the first service performance parameter and the average value of the second service performance parameter: (α) Average value of first business performance parameter + β (Average of second business performance parameters) (1 - fluctuation ratio); Wherein, α and β are weighting coefficients, and α+β=1. The fluctuation ratio is used to reflect the maximum percentage decrease in service performance of the same coverage cell after the energy-saving cell is turned off.

19. The shutdown control device for energy-saving communities according to any one of claims 11-18, characterized in that, The acquisition module is specifically used to acquire the performance data of each cell in a preset area within a preset third historical time period, wherein the performance data includes at least one of service load parameters, service performance parameter values, and energy consumption parameters. The processing module is specifically used to obtain a shutdown weight value based on the performance data, and to determine any cell whose shutdown weight value is greater than a preset weight value as the energy-saving cell. The larger the shutdown weight value, the lower the service load, the smaller the service performance parameter value, or the higher the energy consumption of the corresponding cell.

20. A shutdown control device for an energy-saving community, characterized in that, include: Processor and memory; The memory is used to store computer execution instructions, and the processor is used to execute the computer execution instructions stored in the memory to implement the shutdown control method of the energy-saving community as described in any one of claims 1-10.

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