A data processing method, a base station and a storage medium

Abstract

The application discloses a data processing method, a base station and a storage medium, wherein the data processing method is applied to the base station, and the method comprises the following steps: acquiring energy-saving strategy constraint information and service load of a target network covered by the base station; analyzing the service load of the target network to obtain load information of the target network; predicting the target network according to a preset energy-saving strategy and the load information to obtain prediction information of the target network; determining a target energy-saving strategy corresponding to the target network according to the load information, the prediction information and the energy-saving strategy constraint information; and issuing the target energy-saving strategy to cells in the target network. In the embodiment of the application, the base station can provide better network service quality while saving energy by issuing a suitable energy-saving strategy, and the user experience is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of communication, in particular to a data processing method, a base station and a storage medium. BACKGROUND

[0002] With the development of mobile communication technology, the fifth generation mobile communication base station has entered the stage of large-scale deployment. Although the fifth generation mobile communication base station can provide more powerful communication services, the high energy consumption that follows also greatly increases the operation cost of mobile operators, therefore, how to reduce the energy consumption of the fifth generation mobile communication base station becomes a problem to be solved by mobile operators. The common base station energy saving technology in the industry includes but is not limited to symbol level dormancy, time slot level dormancy and long term dormancy. Among them, long term dormancy can shut down the base station components to the greatest extent, therefore, long term dormancy can obtain the maximum energy saving benefit but also needs the longest time to wake up. Obviously, base station dormancy will cause negative impact on user experience, especially long term dormancy which needs longer time to wake up. Therefore, how to issue appropriate energy saving strategy to the base station to balance the energy consumption of the base station and the user experience is the core problem of base station energy saving. SUMMARY

[0003] The embodiments of the present application provide a data processing method, a base station and a storage medium, which can realize energy saving of the base station while providing better network service quality and improving user experience by issuing appropriate energy saving strategy.

[0004] In a first aspect, energy saving strategy constraint information and service load of a target network covered by the base station are acquired, wherein the energy saving strategy constraint information is used to represent constraint conditions required to be met by the target network to achieve energy saving intention, and the energy saving intention is obtained by cells in a region where the target network is located;

[0005] The service load of the target network is analyzed to obtain load information of the target network;

[0006] The target network is predicted according to a preset energy saving strategy and the load information to obtain prediction information of the target network;

[0007] A target energy saving strategy corresponding to the target network is determined according to the load information, the prediction information and the energy saving strategy constraint information;

[0008] The target energy saving strategy is issued to cells in the target network.

[0009] In a second aspect, the embodiments of the present application provide a base station, which comprises a memory, a processor and a computer program stored in the memory and executable on the processor, and the processor implements the data processing method of the first aspect when executing the computer program.

[0010] In a third aspect, an embodiment of the present application provides a computer readable storage medium, which stores a computer executable program. The computer executable program is used for causing a computer to execute the data processing method according to the first aspect and the second aspect.

[0011] The data processing method provided by the embodiment of the present application has at least the following beneficial effects: first, the energy saving policy constraint information and the service load of the target network covered by the base station are obtained, so that the constraint condition required for the target network to achieve the energy saving intention can be determined, the service load of the target network is analyzed, the load information of the target network is obtained, then the target network is predicted according to the preset energy saving policy and the load information, the prediction information of the target network under each preset energy saving policy is obtained, so that the communication quality of the target network and the like are obtained, finally, the target energy saving policy corresponding to the target network is determined according to the load information, the prediction information and the energy saving policy constraint information, the energy consumption power and the service quality of the specified network can be guaranteed under the condition of meeting the energy saving constraint information, the target energy saving policy is issued to the cells in the target network, the base station provides better network service quality while saving energy, the energy consumption of the base station and the service quality of the terminal are balanced, and thus the user experience is improved. BRIEF DESCRIPTION OF DRAWINGS

[0012] Figure 1 is a schematic diagram of a network architecture for a data processing method provided by an embodiment of the present application;

[0013] Figure 2 is a flowchart of a data processing method provided by an embodiment of the present application;

[0014] Figure 3 is a flowchart of a data processing method provided by another embodiment of the present application;

[0015] Figure 4 is a specific method flowchart of step S200 in Figure 2

[0016] Figure 5 is a specific method flowchart of step S300 in Figure 2

[0017] Figure 6 is a specific method flowchart of step S320 in Figure 5

[0018] Figure 7 is a specific method flowchart of step S400 in Figure 2

[0019] Figure 8 is an example diagram of target network coverage analysis provided by a specific example of the present application;​​​​

[0020] Figure 9 is a structural schematic diagram of a base station provided by an embodiment of the present application. DETAILED DESCRIPTION

[0021] In order to make the objectives, technical solutions and advantages of the present application clearer, the present application will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and should not be used to limit the present application.

[0022] It should be noted that in the description of the embodiments of the present application, the terms "first", "second", and the like in the description and claims and the above-mentioned drawings are used to distinguish similar objects and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features or the sequence of the indicated technical features. "At least one" means one or more, and "multiple" means two or more. "And / or" describes the relationship between the associated objects, which means that there can be three relationships, for example, A and / or B, which means that A exists alone, A and B exist together, and B exists alone. Where A and B can be singular or plural. The character " / " generally represents an "or" relationship between the associated objects. Although the functional modules are divided in the device schematic diagram, and the logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in a different order than the module division in the device or the order in the flowchart.

[0023] In addition, the technical features involved in each embodiment of the present application described below can be combined with each other as long as there is no conflict.

[0024] The embodiments of the present application provide a data processing method, device and storage medium. First, the energy saving policy constraint information and the service load of a target network covered by a base station are acquired, so that the constraint conditions required for the target network to achieve the energy saving intention can be determined, and the service load of the target network is analyzed to obtain the load information of the target network. Then, the target network is predicted according to the preset energy saving policy and the load information to obtain the prediction information of the target network under each preset energy saving policy, so as to obtain the communication quality situation of the target network, etc. Finally, the target energy saving policy corresponding to the target network is determined according to the load information, the prediction information and the energy saving policy constraint information, which can guarantee the energy consumption power and the service quality of the specified network under the condition of meeting the energy saving constraint information, and the target energy saving policy is issued to the cells in the target network, so as to realize the base station to provide better network service quality while saving energy, balance the energy consumption of the base station and the service quality of the terminal, and thus improve the user experience.

[0025] The embodiments of the present application will be further described below with reference to the accompanying drawings.

[0026] Referring to Figure 1 , Figure 1 is a schematic diagram of a network architecture for a data processing method according to an embodiment of the present application.

[0027] In Figure 1 the embodiment, the network architecture comprises a base station 100, which generates a plurality of cells according to a coverage angle, as shown in Figure 1 The base station 100 generates a cell 1, a cell 2 to a cell N, and performs the following data processing operation through the generated cells.

[0028] In some embodiments, the constraints required by the target network to achieve the energy saving intention in various scenarios are determined through the cells, and then the traffic load in the target network is analyzed within a certain time length to obtain the load information of the target network at the cell level and the network level, and then the target network is predicted according to the preset energy saving strategy and the load information to obtain the prediction information of the target network, that is, the energy consumption information and the service quality of the target network are predicted under each preset energy saving strategy by combining the load information of the plurality of cells, to obtain the energy consumption information and the terminal information, and finally the target energy saving strategy corresponding to the target network is determined according to the load information and the predicted information, and the target energy saving strategy is sent to the cells in the target network, so that the energy saving strategy that can achieve the intention target with the maximum probability under the condition of meeting the intention constraint condition can be selected, and the base station energy consumption and the service quality of the user experience in the target network are balanced.

[0029] The network architecture and the application scenario described in the embodiments of the present application are used to more clearly illustrate the technical solutions of the embodiments of the present application, and do not constitute a limitation on the technical solutions provided by the embodiments of the present application. It can be understood by those skilled in the art that, with the evolution of network topology and the appearance of new application scenarios, the technical solutions provided by the embodiments of the present application are also applicable to similar technical problems.

[0030] Those skilled in the art can understand that the network architecture shown in Figure 1 does not constitute a limitation on the embodiments of the present application, and can include more or fewer components than shown in the figure, or combine certain components, or different component arrangements.

[0031] Referring to Figure 2 , Figure 2 is a flowchart of a data processing method according to an embodiment of the present application. The data processing method is applied but not limited to a base station, and includes but is not limited to steps S100-S500.

[0032] Step S100: Obtain the energy saving strategy constraint information and the traffic load of a target network covered by a base station;

[0033] It should be noted that the energy saving policy constraint information is used to represent the constraint conditions required to be met by the target network to achieve the energy saving intention, and the energy saving intention is obtained by the cells in the region where the target network is located.

[0034] In some embodiments, the energy saving policy constraint information and the service load of the target network covered by the base station are acquired first, so as to facilitate subsequent determination of the target energy saving policy, wherein the energy saving constraint information is used to limit the scenario where the target network is located, the conditions to be met, and the target to be achieved, and the present embodiment does not make specific limitation.

[0035] It can be understood that the service load includes the cell level load information and the network level load information of the target network.

[0036] It should be noted that the energy saving intention can be a communication rate target, a daily energy consumption target, or a data flow target formulated by the cell, and the present embodiment does not make specific limitation.

[0037] Step S200: analyzing the service load of the target network to obtain the load information of the target network;

[0038] In some embodiments, the service of the target network is analyzed to obtain the load information of the target network, wherein the load information of the target network is obtained by analyzing the cell load information and the network level load information of the target network within a certain time length.

[0039] It should be noted that the service load can be represented by the uplink physical resource block (PRB) utilization rate, the downlink PRB utilization rate, the control channel element (CCE) utilization rate, or the data flow of the cell, for example, the greater the uplink PRB utilization rate or the downlink PRB utilization rate of the cell, the higher the service load of the cell; the greater the data flow of the cell, the higher the service load of the cell, and the present embodiment does not make specific limitation.

[0040] Step S300: predicting the target network according to the preset energy saving policy and the load information to obtain the prediction information of the target network;

[0041] In some embodiments, the target network is predicted according to the preset energy saving policy and the load information to obtain the prediction information of the target network combined with the load information, so as to facilitate subsequent formulation of the energy saving policy corresponding to the target network.

[0042] It should be noted that the preset energy saving strategy is not a single energy saving function strategy, but a strategy rule set, for example, the strategy rule set includes various preset energy saving strategy scenarios, preset energy saving strategy execution conditions, preset energy saving strategy required targets, and the like. The prediction energy saving strategy can also be an energy saving mode of the cell in the energy saving period. The energy saving mode can be one or a combination of symbol off, channel off, carrier off, and deep sleep. The embodiment is not specifically limited.

[0043] Step S400: determining a target energy saving strategy corresponding to the target network according to the load information, the prediction information, and the energy saving strategy constraint information.

[0044] In some embodiments, the load information, communication quality, energy consumption information, and the like of the target network can be analyzed according to the load information, the prediction information, and the energy saving strategy constraint information. Then, the base station determines the target energy saving strategy corresponding to the target network according to the analyzed parameters, so as to balance the energy consumption of the base station and the service quality of the terminal, ensure the service quality of the target network, and minimize the energy consumption of the base station.

[0045] Step S500: issuing the target energy saving strategy to the cells in the target network.

[0046] In some embodiments, the energy saving strategy constraint information and the service load of the target network covered by the base station are obtained, so as to determine the constraint conditions required to achieve the energy saving intention of the target network, analyze the service load of the target network, obtain the load information of the target network, and obtain the network quality information of the target network. Then, the target network is predicted according to the preset energy saving strategy and the load information to obtain the prediction information of the target network under each preset energy saving strategy, so as to obtain the communication quality of the target network. Finally, the target energy saving strategy corresponding to the target network is determined according to the load information, the prediction information, and the energy saving strategy constraint information, so as to guarantee the energy consumption power and the service quality of the specified network under the condition of meeting the energy saving constraint information. The target energy saving strategy is issued to the cells in the target network, the base station provides better network service quality while saving energy, the energy consumption of the base station and the service quality of the terminal are balanced, and the user experience in the target network is improved.

[0047] In some embodiments, the energy saving strategy constraint information at least includes one of the following: intention cell information, the intention cell information being a cell list of the target network achieving the energy saving intention; target scenario information, the target scenario information being used to represent the energy saving intention achieved by the target network in each scenario; and intention constraint information, the intention constraint information being used to constrain the conditions for the target network to achieve the energy saving intention under the target scenario information.

[0048] It should be noted that the intention cell information is a list of cells that achieve the energy saving intention of the target network, for example, assuming that the first cell, the second cell and the third cell achieve the energy saving intention, and therefore the cell list includes the first cell information, the second cell information and the third cell information, wherein the first cell information, the second cell information and the third cell information include but are not limited to the identification of the cell, the energy saving parameter of the cell and the like; the target scene information is the energy saving intention that the target network needs to achieve in each scene respectively, wherein the energy saving intention achieved by different target networks in different scenes can be the same or different, for example, in the A scene, the energy saving intention that the target network needs to achieve is that the daily average energy consumption of the base station cannot exceed 200 kilowatt hours, in the B scene, the energy saving intention that the target network needs to achieve is that the daily average energy consumption of the base station cannot exceed 350 kilowatt hours, and in the C scene, the energy saving intention that the target network needs to achieve is that the average communication rate of the terminal in the cell is not less than 8 megabits per second; the intention constraint information is used to constrain the constraint condition that the target network needs to meet in each scene, for example, in the A scene, under the requirement that the average communication rate of the terminal in the cell is not less than 8 megabits per second, the energy saving intention that the target network achieves is that the daily average energy consumption of the base station is not more than 200 kilowatt hours, in the B scene, under the condition that the daily average energy consumption of the base station is not more than 200 kilowatt hours, the average communication rate of the terminal in the cell is not less than 6 megabits per second, and the like, which is not limited in the embodiment.

[0049] It can be understood that the target scene information can include the energy saving target and the context, and the intention constraint information can include the intention constraint condition and the context and the like.

[0050] Referring to Figure 3 , Figure 3 is a flowchart of the data processing method provided by another embodiment of the application, including but not limited to steps S210-S220.

[0051] Step S210: issuing a frequency measurement request to all terminals in the cell to receive the measurement report information fed back by the terminal based on the frequency measurement request;

[0052] Step S220: when it is determined according to the measurement report information that the target network meets the preset coverage condition, obtaining the coverage cell information of the base station.

[0053] It should be noted that the preset coverage condition is used to represent that in the case that any cell is closed, the remaining cells covered by the target network and the corresponding neighboring cells remain mutual overlap.

[0054] In some embodiments, the frequency measurement request is sent to all terminals in the cell for coverage analysis of the target network, and the measurement report information fed back by the terminals based on the frequency measurement request is received. When it is determined according to the measurement report information that the target network meets the preset coverage condition, the coverage cell information of the base station can be obtained, so as to determine whether a coverage hole or weak coverage problem will occur after any cell is turned off.

[0055] It should be noted that the coverage analysis of the target network refers to analyzing the measurement report information of all terminals in the region where the target network is located within a certain time length, wherein the measurement report information includes the same-frequency measurement information, inter-frequency measurement information, inter-system measurement information, etc. of all terminals.

[0056] It can be understood that when the measurement report information does not meet the preset coverage condition, a coverage hole or weak coverage problem will occur, and the base station will not perform the steps of analyzing the service load, sending the preset energy-saving strategy, etc.

[0057] Referring to Figure 4 , Figure 4 is a further description of step S200 in Figure 2 , and step S200 includes but is not limited to steps S230 to S250.

[0058] Step S230: analyzing the service load of the target network to obtain analysis information;

[0059] Step S240: analyzing the target network according to the preset energy-saving strategy and the coverage cell information to obtain load prediction information;

[0060] Step S250: obtaining load information according to the analysis information and the load prediction information.

[0061] In some embodiments, in the process of analyzing the service load of the target network to obtain the load information of the target network, first, the service load of the target network is analyzed to obtain analysis information, and then the target network is analyzed according to the preset energy-saving strategy and the coverage cell information to obtain load prediction information, so as to obtain the load information of the target network under each preset energy-saving strategy. Finally, the analysis information and the load prediction information are integrated to obtain the load information of the target network, so as to realize accurate prediction of the load change of the target network under the preset energy-saving strategy.

[0062] It should be noted that the service load includes cell-level load information and network-level load information of the target network.

[0063] Referring to Figure 5 , Figure 5 is a further description of step S200 in Figure 2Further description of step S300, step S300 includes but is not limited to steps S310 to S320.

[0064] Step S310: According to the preset energy saving strategy and the load information, the energy consumption of the target network is analyzed to obtain the energy consumption information of the target network.

[0065] Step S320: According to the preset energy saving strategy and the load information, the service quality of the cells in the target network is analyzed to obtain the terminal information.

[0066] In some embodiments, according to the preset energy saving strategy and the load information, the energy consumption of the target network is predicted to obtain the energy consumption information of the target network under various preset energy saving strategies, so as to realize accurate prediction of the energy consumption of the target network, and according to the preset energy saving strategy and the load information, the service quality of the cells in the target network is analyzed to realize accurate prediction of the service quality of all terminals in the cells under various preset energy saving strategies, so as to realize prediction of the energy consumption and the service quality under the preset energy saving strategy, and accurately obtain the user experience information.

[0067] It should be noted that the analysis of the energy consumption of the target network refers to the analysis based on the software information and the hardware information of the target network, and the analysis of the service quality of the cells refers to the analysis of the service quality of all terminals in the cells.

[0068] Referring to Figure 6 , Figure 6 Further description of step S320 in Figure 5 , step S320 includes but is not limited to steps S321 to S322.

[0069] Step S321: The preset energy saving strategy and the load information are issued to the cells in the target network, so that the terminals in the cells perform service quality analysis based on the preset energy saving strategy and the load information to generate terminal information.

[0070] Step S322: The terminal information fed back by the cells is received.

[0071] In some embodiments, the preset energy saving strategy and the load information are issued to the cells in the target network, so that the cells can predict the service quality of all terminals under the cells based on the preset energy saving strategy and the load information to obtain the terminal information, thereby realizing accurate prediction of the service quality of all terminals in the cells under various preset energy saving strategies, and realizing prediction of the energy consumption and the service quality under the preset energy saving strategy.

[0072] Referring to Figure 7 , Figure 7 Further description of step S320 in Figure 2Further explanation of step S400, step S400 includes but is not limited to including step S410.

[0073] Step S410: in the case of determining that the target network meets the energy saving policy constraint information, formulating the target energy saving policy corresponding to the target network according to the load information, the energy consumption information and the terminal information.

[0074] In some embodiments, in the case of determining that the target network meets the energy saving policy constraint information, the target energy saving policy corresponding to the target network is formulated in combination with the load information, the energy consumption information and the terminal information, so that the base station can provide better network service quality while saving energy and improve user experience.

[0075] In some embodiments, after the target energy saving policy is issued to the cells in the target network, the progress request sent by the cells is received, and the achievement situation information of the target energy saving policy is fed back to the cells; or, the achievement situation information of the target energy saving policy is sent to the cells every preset time interval.

[0076] In some embodiments, after the target energy saving policy is issued to the cells, the progress request sent by the cells is received, and the achievement situation information of the target energy saving policy is fed back to the cells, so as to judge whether there is an abnormal phenomenon in the process of executing the target energy saving policy in the cells.

[0077] It should be noted that the base station can also periodically send the achievement situation information of the target energy saving policy to the cells, wherein the achievement situation information includes the communication quality, network rate, user experience, alarm information or energy consumption analysis information in the process of executing the target energy saving policy by the terminal, and the present embodiment does not make specific limitation.

[0078] In order to more clearly illustrate the flow of the data processing method, the following will be described with specific examples.

[0079] Example one:

[0080] Example one is the overall flow of the data processing method.

[0081] Step 1: obtain the energy saving policy constraint information and the business load of the target network covered by the base station, for example, the target network in the energy saving policy constraint information is "A regional 5G base station"; the target scene information is "the daily average energy consumption of the A regional 5G base station in any scene cannot exceed 200 kilowatt hours"; the intent constraint information is "in any scene A region, the rate of 5G base station 15min granularity cell level downlink average user rate below 8 megabits per second is not more than 98% ";

[0082] Step 2: Perform coverage analysis on the target network. The coverage analysis refers to analyzing the measurement report information of all users in the region where the target network is located within a certain time length, such as the same frequency measurement report information, different frequency measurement report information, and different system measurement report information, to determine whether a coverage hole or weak coverage problem will occur after any cell in the target network is turned off, and the overlapping coverage information of any cell in the target network and its neighboring cells.

[0083] In some embodiments, when it is determined according to the measurement report information that the target network meets the preset coverage condition, the coverage cell information of the base station is obtained, and when it does not meet the preset coverage condition, the following steps are not continued.

[0084] Reference Figure 8 , Figure 8 An example diagram of target network coverage analysis provided for a specific example of the present application;

[0085] It should be noted that the target network coverage analysis is described in detail in Figure 8 , for example, there are a total of 5 5G cells in the A region. Among them, there is one cell A for frequency point 1, and there are four cells for frequency point 2, which are cell B, cell C, cell D, and cell E. When cell A is closed, its users will access to the four cells of frequency point 2, and no coverage hole or weak coverage will occur. However, if any of the four cells of frequency point 2 is closed, a coverage hole or weak coverage may occur.

[0086] Step 3: Perform load analysis on the target network. The load analysis refers to analyzing the cell-level and network-level load information of the target network within a certain time length, thereby achieving accurate prediction of the cell-level and network-level load of the target network. At the same time, the load analysis also includes accurate estimation of the cell-level and network-level load changes of the target network under any energy-saving strategy in combination with the coverage analysis results.

[0087] In some embodiments, the future one-day traffic load of the five cells in region A is analyzed to obtain an analysis result. In this embodiment, only the 15-minute granularity average downlink PRB utilization of the cells is considered. In actual use, other load-related indicators of other granularities, such as 1-minute granularity uplink PRB utilization or the number of connected users or the number of active users of the cells, can also be considered. The load conditions of the five cells in region A after the energy-saving strategy is not enabled, the energy-saving strategy 1 is enabled, and the energy-saving strategy 2 is enabled are analyzed. In the energy-saving strategy 1, the energy-saving strategy that can cause the cell to fall into long-time sleep is not considered, and only strategies such as cell symbol-level sleep and time-slot-level sleep are considered. Therefore, after the energy-saving strategy 1 is enabled, the 15-minute granularity average downlink PRB utilization of the five cells has no zero point, and only after the cell enables the symbol-level sleep or the time-slot-level sleep, the downlink PRB utilization is obviously higher than that when the energy-saving strategy is not enabled. In the energy-saving strategy 2, all available energy-saving strategies are considered, including the energy-saving strategy that can cause the cell to fall into long-time sleep. It is considered that only sleeping “cell A” will not cause a coverage hole, and therefore only “cell A” has a large amount of time in long-time sleep. At this time, the downlink PRB utilization of the other four cells is obviously higher because they bear part of the load of “cell A”.

[0088] It should be noted that the energy-saving strategy here is not a single energy-saving function switch, but a rule set of “what energy-saving strategy combination is enabled in what scenario”.

[0089] Step 4: Based on the target network hardware and software information, the energy consumption of the target network is analyzed to obtain energy consumption analysis information, and the energy consumption of the target network under any energy-saving strategy is accurately estimated and predicted in combination with the load analysis result to obtain energy consumption information.

[0090] In some embodiments, the present application only considers the 15-minute granularity cell-normalized energy consumption of the cells. Because the network bandwidth of cell A is large, the energy consumption of cell A is large. The energy consumption of the five cells in region A after the energy-saving strategy is not enabled, the energy-saving strategy 1 is enabled, and the energy-saving strategy 2 is enabled is analyzed. In the energy-saving strategy 1, the symbol-level sleep or the time-slot-level sleep of the cell is enabled when the load of the cell is low. Compared with when the energy-saving strategy is not enabled, the energy consumption of the cell is obviously reduced. In the energy-saving strategy 2, cell A has a large amount of time in long-time sleep, and at this time, the energy consumption of cell A is the lowest. However, at this time, the other four cells bear part of the load of cell A, and therefore, the energy consumption of the four cells in frequency point 2 is increased in part of the time compared with when the energy-saving strategy 1 is enabled.

[0091] Step 5: The quality of service of the target network is analyzed to obtain terminal analysis information, and the terminal analysis information of the target network under any energy-saving strategy is accurately estimated and predicted in combination with the load information to obtain terminal information.

[0092] In some embodiments, only the 15min granularity average downlink user rate of the cell is considered, and in actual use, other user experience related indicators of other granularity, such as 1min granularity uplink user rate, can also be considered. The quality of service of the target network after the energy saving strategy is not enabled, the energy saving strategy 1 is enabled, and the energy saving strategy 2 is enabled is analyzed for the five cells respectively. Among them, the energy saving strategy 1 enables the cell symbol level sleep or time slot level sleep strategy when the load of the cell is low, and the quality of service of the target network in these periods is obviously decreased compared with that when the energy saving strategy is not enabled. Under the energy saving strategy 2, cell A is in a long sleep state for a large amount of time, and at this time, there is no attached terminal on it, so there is no target network service quality information; At this time, the other four cells bear part of the load of cell A, so the quality of service of the target network of the four cells of frequency point 2 further decreases compared with that when the energy saving strategy 1 is enabled.

[0093] Step 6: Determine the target energy saving strategy corresponding to the target network based on the load information, prediction information and energy saving strategy constraint information, and send the target energy saving strategy to the cells in the target network. Based on the analysis result of step 2, the energy saving strategy that can achieve the intended target with the maximum probability under the constraint of the energy saving strategy is selected and executed.

[0094] In some embodiments, based on the analysis result of step 2, the daily average energy consumption of the A area 5G base station is 222.1 kilowatt hours when the energy saving strategy is not enabled, and the rate of the 15min granularity cell level downlink average user rate not less than 8 megabits per second is 99.8%; When the energy saving strategy 1 is enabled, the daily average energy consumption of the A area 5G base station is 184.78 kilowatt hours, and the rate of the 15min granularity cell level downlink average user rate not less than 8 megabits per second is 98.1%; When the energy saving strategy 2 is enabled, the daily average energy consumption of the A area 5G base station is 170.88 kilowatt hours, and the rate of the 15min granularity cell level downlink average user rate not less than 8 megabits per second is 97.7%. According to the energy saving strategy constraint information, the energy saving strategy 1 is selected and executed.

[0095] Step 7: The base station feeds back the intention achievement situation to the intention initiator according to the period or event trigger.

[0096] In some embodiments, the energy saving policy constraint information and the service load of the target network covered by the base station are acquired, so that the constraint conditions required to be met by the target network to achieve the energy saving intention can be determined, and the service load of the target network is analyzed to obtain the load information of the target network, so that the network quality information of the target network can be obtained. Then, the target network is analyzed according to the preset energy saving policy and the load information, and the prediction information uploaded by the target network and the cells in the target network according to the preset energy saving policy and the load information is obtained, so that the communication quality situation of the target network is obtained. Finally, the target energy saving policy corresponding to the target network is determined according to the load information, the prediction information and the energy saving policy constraint information, the target energy saving policy is sent to the cells, the base station provides better network service quality while saving energy, the energy consumption of the base station and the service quality of the terminal are balanced, and the experience of the users in the target network is improved.

[0097] As shown in Figure 9 The embodiment of the present application also provides a base station.

[0098] Specifically, the base station 100 comprises one or more processors and a memory, Figure 9 For example, the processor and the memory are connected by a bus or other means. Figure 9 For example, the processor and the memory are connected by a bus.

[0099] The memory, as a non-transitory computer readable storage medium, can be used to store non-transitory software programs and non-transitory computer executable programs, such as the data processing method in the above embodiment of the present application. The processor realizes the data processing method in the above embodiment of the present application by running the non-transitory software programs and programs stored in the memory.

[0100] The memory can include a program storage area and a data storage area, wherein the program storage area can store an operating system and at least one application required by a function; the data storage area can store data required for executing the data processing method in the above embodiment of the present application, etc. In addition, the memory can include a high-speed random access memory, and can also include a non-transitory memory, such as at least one magnetic disk storage device, a flash memory device, or other non-transitory solid-state storage device. In some embodiments, the memory can optionally include a memory remotely arranged with respect to the processor, and these remote memories can be connected to the base station through a network. Examples of the above network include but are not limited to the Internet, an intranet, a local area network, a mobile communication network, and a combination thereof.

[0101] In addition, the embodiment of the present application also provides a computer readable storage medium, which stores a computer executable program. The computer executable program is executed by one or more control processors, for example, is executed by the processor of the base station. Figure 9The one processor in the processor set executes, so as to enable the one or more processors to execute the data processing method in the embodiments of the application.

[0102] In addition, one embodiment of the application further provides a computer program product, including computer programs or computer instructions, the computer programs or computer instructions are stored in a computer readable storage medium, and the centralized management unit of the computer device reads the computer programs or computer instructions from the computer readable storage medium, and the centralized management unit executes the computer programs or computer instructions, so that the computer device executes the data processing method in any of the foregoing embodiments.

[0103] In addition, each of the functional units in each of the embodiments of the application can be integrated in one processing unit, or each unit can exist physically, or two or more units can be integrated in one unit. The integrated unit can be implemented in the form of hardware or hardware plus software function units.

[0104] Those skilled in the art can understand that all or some of the steps in the method disclosed above can be implemented as software, firmware, hardware, and appropriate combinations thereof. Some or all of the physical components can be implemented as software executed by a centralized management unit, such as a central centralized management unit, a digital signal centralized management unit, or a micro centralized management unit, or as hardware, or as an integrated circuit, such as an application specific integrated circuit. Such software can be distributed on a computer readable medium, which can include computer storage media (or non-transitory media) and communication media (or transitory media). As known to those skilled in the art, the term computer storage media includes volatile and non-volatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital versatile disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tapes, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to store desired information and can be accessed by a computer. In addition, as known to those skilled in the art, communication media generally includes computer readable instructions, data structures, program modules or other data in modulated data signals such as carrier waves or other transport mechanisms, and can include any information delivery medium.

Claims

1. A data processing method applied to a base station, comprising: obtaining energy saving policy constraint information and a service load of a target network covered by the base station, wherein the energy saving policy constraint information is used to represent constraint conditions required to be met by the target network to achieve an energy saving intention, and the energy saving intention is formulated by cells in a region where the target network is located; analyzing the service load of the target network to obtain load information of the target network; predicting the target network according to a preset energy saving policy and the load information to obtain prediction information of the target network; determining a target energy saving policy corresponding to the target network according to the load information, the prediction information and the energy saving policy constraint information; and delivering the target energy saving policy to cells of the target network. The energy saving policy constraint information at least comprises one of: intention cell information, which is a cell list of the target network to achieve the energy saving intention; target scenario information, which is used to represent the energy saving intention achieved by the target network in each scenario; and intention constraint information, which is used to constrain conditions for the target network to achieve the energy saving intention in the target scenario information. Before the analyzing the service load of the target network to obtain the load information of the target network, the method further comprises: delivering a frequency measurement request to all terminals in the cells to receive measurement report information fed back by the terminals based on the frequency measurement request; and determining that the target network meets a preset coverage condition to obtain coverage cell information of the base station according to the measurement report information, wherein the preset coverage condition is used to represent that, in the case that any cell is closed, the remaining cells covered by the target network and corresponding neighbor cells keep mutual overlap. The analyzing the service load of the target network to obtain the load information of the target network comprises: analyzing the service load of the target network to obtain analysis information; analyzing the target network according to the preset energy saving policy and the coverage cell information to obtain load prediction information; and obtaining the load information according to the analysis information and the load prediction information. The prediction information comprises energy consumption information and terminal information. The predicting the target network according to the preset energy saving policy and the load information to obtain the prediction information of the target network comprises: analyzing energy consumption of the target network according to the preset energy saving policy and the load information to obtain the energy consumption information of the target network; and analyzing service quality of the cells in the target network according to the preset energy saving policy and the load information to obtain the terminal information. The analyzing service quality of the cells in the target network according to the preset energy saving policy and the load information to obtain the terminal information comprises: ​ ​ ​ ​ ​ 2. The data processing method according to claim 1, characterized in that, ​ ​ ​ ​ 3. The data processing method of claim 1, wherein, ​ ​ ​ 4. The data processing method according to claim 3, characterized in that, ​ ​ ​ ​ 5. The data processing method according to claim 1, characterized in that, ​ ​ ​ ​ 6. The data processing method according to claim 5, characterized in that, ​ distributing the preset energy-saving strategy and the load information to the cell in the target network, so that a terminal in the cell performs quality of service analysis based on the preset energy-saving strategy and the load information, and generates the terminal information; receiving the terminal information fed back by the cell.

7. The data processing method according to claim 6, characterized in that, The determining of the target energy-saving strategy corresponding to the target network according to the load information, the prediction information and the energy-saving strategy constraint information comprises: In a case where it is determined that the target network satisfies the energy-saving strategy constraint information, a target energy-saving strategy corresponding to the target network is formulated according to the load information, the energy consumption information and the terminal information.

8. The data processing method of claim 1, wherein, After the target energy-saving strategy is distributed to the cell in the target network, the method further comprises: receiving a progress request sent by the cell, and feeding back achievement information of the target energy-saving strategy to the cell; Or, sending the achievement information of the target energy-saving strategy to the cell at every preset time interval.

9. A base station comprising: A memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the data processing method in any one of claims 1 to 8 when executing the computer program.

10. A computer-readable storage medium, characterized in that, The computer readable storage medium stores a computer executable program, and the computer executable program is used for enabling a computer to execute the data processing method in any one of claims 1 to 8.

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