Cell shutdown energy saving method and device

Abstract

The present invention discloses a cell shutdown energy-saving method and device, wherein the method includes: determining a sector group covered by a multi-layer network; extracting historical service data to determine the carrier load threshold used by each cell in the sector group in a specified dimension; calculating the combined load threshold of the carrier combination of different levels in the sector group in the specified dimension according to the load threshold of each carrier; determining the cell to be shut down and the time period to be shut down according to the combined load threshold in the specified dimension corresponding to the carrier combination of different levels, compared with the service data prediction value of each time period of the sector group; generating and issuing a cell shutdown instruction according to the cell to be shut down and the time period to be shut down, so as to shut down the cell to be shut down. The minimum carrier load configuration that can meet the current network service volume in the sector group is determined in a refined manner according to the time period granularity, and redundant cells are shut down in the low-flow time period to maximize the energy-saving benefits.

Description

Technical Field

[0001] The present invention relates to the field of wireless communications, and in particular to a method and device for energy saving by shutting down a cell. Background Art

[0002] With the continuous development of the communications industry, the increasing energy consumption of base stations in wireless access networks accounts for the vast majority of the energy consumption of the entire network. According to data, the energy consumption of base station equipment accounts for more than 60% of the total energy consumption of mobile communication networks. Therefore, base station energy-saving technology is particularly important.

[0003] At present, the mainstream power-saving functions of base station equipment include symbol shutdown, channel shutdown, carrier frequency shutdown and other functions. The node function is enabled by turning on the device function switch and configuring the corresponding threshold parameters. On the basis of the power-saving function provided by the base station equipment itself, the cell is shut down by issuing activation instructions, and the cell is put into sleep mode during idle time, thereby achieving energy saving effect. Cell shutdown supports power-saving operations between physically co-sited and non-co-sited equipment, cross-BBU (Building Base band Unite) of the same manufacturer, and cross-manufacturer base station equipment. Since cell shutdown is an operation outside the base station and is not triggered internally by the base station, it is necessary to judge the cell to be shut down and the shutdown time period based on manual experience.

[0004] In the prior art, when determining the cell to be shut down, a pre-set fixed threshold is generally used. When the total traffic volume of the cells in the same sector group is judged to be lower than the fixed threshold, it is considered that the basic coverage layer cell can be used to carry the cell, and the cell can be shut down. For example: taking the sector (capacity cell + basic cell) as a unit, extract the night energy-saving time of the multi-layer network cell for at least the previous week, such as data from 0 to 6 o'clock, and obtain the uplink and downlink PRB (Physical Resource Block) utilization and the maximum number of users according to the hourly granularity. When the three conditions of uplink PRB utilization, downlink PRB utilization, and maximum number of users are all less than their respective fixed thresholds, such as the uplink PRB utilization of the sector (capacity cell + basic cell) <50%; the downlink PRB utilization of the sector (capacity cell + basic cell) <50%; the maximum number of users of the sector (capacity cell + basic cell) <100, etc. When all the above conditions are met, it is considered that a single frequency band can meet the needs of users during the blocking period, and the capacity cell can be shut down. If any of the conditions is not met, it is considered that the cell is not shut down and power saving cannot be performed.

[0005] However, the above processing method assumes that the carrying capacity of each frequency band carrier is the same by default, and does not distinguish the carrying capacity of different carriers as the underlying carriers for user traffic when shutting down, which is different from the actual situation. Furthermore, the above processing method is only applicable to multi-layer networks with 2 carriers. For multi-layer networks with 3 or more carriers, the number of carriers that need to be retained is not accurately evaluated, which can easily lead to problems such as inaccurate cell shutdown processing. Summary of the invention

[0006] In view of the above problems, the present invention is proposed to provide a cell shutdown energy saving method and device that overcomes the above problems or at least partially solves the above problems.

[0007] According to one aspect of the present invention, a cell shutdown energy saving method is provided, which comprises:

[0008] Determine the sector groups covered by the multi-layer network;

[0009] Extract historical service data and determine the load threshold of the carrier used by each cell in the sector group in the specified dimension;

[0010] According to the load threshold of each carrier, the combined load threshold of the carrier combination of different levels in the sector group in the specified dimension is calculated;

[0011] Determine the cell to be shut down and the time period to be shut down according to the combined load threshold value in the specified dimension corresponding to the carrier combination of different levels and the predicted value of the service data in each time period of the sector group;

[0012] Generate and issue a cell shutdown instruction according to the cell to be shut down and the time period to be shut down to shut down the cell to be shut down.

[0013] According to another aspect of the present invention, a cell shutdown energy saving device is provided, comprising:

[0014] A determination module, adapted to determine a sector group covered by a multi-layer network;

[0015] An extraction module, adapted to extract historical service data and determine a load threshold value of a carrier used by each cell in a sector group in a specified dimension;

[0016] A calculation module, adapted to calculate a combined carrying threshold value of carrier combinations at different levels in a sector group in a specified dimension according to the carrying threshold value of each carrier;

[0017] A comparison module, adapted to determine the cell to be shut down and the time period to be shut down according to the combined load threshold value in the specified dimension corresponding to the carrier combination of different levels, compared with the service data prediction value of each time period of the sector group;

[0018] The shutdown module is adapted to generate and issue a cell shutdown instruction according to the cell to be shut down and the time period to be shut down, so as to shut down the cell to be shut down.

[0019] According to another aspect of the present invention, there is provided an electronic device, comprising: a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface communicate with each other via the communication bus;

[0020] The memory is used to store at least one executable instruction, and the executable instruction enables the processor to execute operations corresponding to the above-mentioned cell shutdown energy saving method.

[0021] According to yet another aspect of the present invention, a computer storage medium is provided, wherein the storage medium stores at least one executable instruction, and the executable instruction enables a processor to execute operations corresponding to the above-mentioned cell shutdown energy saving method.

[0022] According to the cell shutdown energy-saving method and device of the present invention, by comparing the combined load threshold value of carrier combinations of different levels in the sector group with the predicted amount of business data in each time period of the sector group, the minimum carrier load configuration that can meet the current network business volume in the sector group can be finely determined according to the granularity of the time period, and redundant cells can be shut down in the low-traffic time period to maximize the energy-saving benefits.

[0023] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention, it can be implemented according to the contents of the specification. In order to make the above and other purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present invention. Moreover, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:

[0025] Figure 1 A flow chart of a cell shutdown energy saving method according to an embodiment of the present invention is shown;

[0026] Figure 2 A schematic diagram of a carrier load threshold is shown;

[0027] Figure 3 A functional block diagram of a cell shutdown energy saving device according to an embodiment of the present invention is shown;

[0028] Figure 4 A schematic structural diagram of an electronic device according to an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0029] The exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0030] Figure 1 FIG. 2 shows a flow chart of a cell shutdown energy saving method according to an embodiment of the present invention. Figure 1 As shown, the cell shutdown energy saving method specifically includes the following steps:

[0031] Step S101, determining a sector group covered by a multi-layer network.

[0032] Acquire data such as base station engineering parameters, measurement report MR data, minimized drive test MDT data, etc., wherein base station engineering parameters include cell-related data, and MR data include cell-neighboring cell-related data, etc. When acquiring the above data, sampling can be performed according to different time periods. According to the various parameters and data acquired, determine whether there is a cell covered by multiple layers of networks. If so, determine that the cell is a cell covered by multiple layers of networks. Multiple cells covered by multiple layers of networks in the same direction constitute a sector group covered by multiple layers of networks. Among them, the sector group covered by multiple layers of networks includes at least one cell covered by multiple layers of networks.

[0033] The determination of the sector group covered by the multi-layer network can also be determined by setting sampling points to determine the degree of common coverage, etc. The above can be implemented using a coverage algorithm, which will not be elaborated here.

[0034] Step S102: extract historical service data and determine the load threshold of the carrier used by each cell in the sector group in a specified dimension.

[0035] According to the historical service data actually generated by the mobile network, the load threshold of the carrier used by each cell in the sector group in the specified dimension is calculated and determined. Based on the big data of the mobile network, the load threshold of each carrier in the specified dimension can be accurately calculated. This step can be based on the pre-collected historical service data of the mobile network, and the load threshold of the carriers of different frequency bands can be pre-calculated, and then the load threshold of the carrier used by each cell in the sector group in the specified dimension can be determined therefrom; or after the sector group is determined, according to the historical service data of the mobile network, the load threshold of the carrier used by each cell in the sector group in the specified dimension can be determined therefrom.

[0036] Determination of the carrier's carrying threshold in a specified dimension. Specifically, based on the historical service data actually generated by the mobile network, the user-perceived rate baseline is first determined. The user-perceived rate refers to the rate that is expected to be achieved to meet the user's certain service requirements, which is mainly affected by factors such as occupied PRB resources, network service volume and number of users. Here, the extracted service data includes physical resource block PRB resources, network service volume, number of users, etc. The user-perceived rate baseline is the minimum rate requirement that meets the user's service perception. The higher the PRB utilization rate, the greater the user's service volume, which may affect the current user's service experience. In order to ensure the user-perceived rate, the PRB utilization rate needs to be controlled within a certain threshold, that is, to control a certain number of user accesses. By statistics on different service types, different service rate requirements, different service duration ratios and the number of concurrent services in the cell, it can be determined that the user-perceived rate baseline is approximately 5Mbit / s.

[0037] The load thresholds of carriers in different frequency bands in the specified dimensions are determined based on the user perceived rate baseline and the preset user percentage threshold. Here, the preset user percentage threshold can be set to 90%, for example. When 90% of users meet the user perceived rate of 5Mbit / s, the load thresholds of carriers in different frequency bands in the specified dimensions can be determined through big data statistical analysis of the existing network. The specified dimensions include the average number of users of the radio resource control RRC, downlink traffic and / or downlink PRB utilization, etc. Taking the FDD1800 carrier as an example, Figure 2 As shown, through big data analysis, when the user perceived rate baseline reaches 90% customer satisfaction, that is, when 90% of users meet the user perceived rate of 5 Mbit / s, the corresponding average number of RRC users is 64.

[0038] According to the actual service data, the carrying threshold of the carriers of different frequency bands in the specified dimension can be determined, as shown in the following Table 1:

[0039]

[0040]

[0041] The above is an example to illustrate the specified dimension and specific bearing threshold value. The carriers of different frequency bands listed in the table are determined according to the implementation situation and are not limited here.

[0042] Step S103: According to the load threshold of each carrier, a combined load threshold of carrier combinations at different levels in the sector group in a specified dimension is calculated.

[0043] After determining the carrying threshold of each carrier, use different frequency band carriers to form different levels of carrier combinations. When constructing a carrier combination, first set the carrier priority corresponding to the cell shutdown according to the carrier's networking capability. For example, according to the actual deployment of carriers in various frequency bands in the existing network, the order of carrier priority for cell shutdown is set as follows: F900>F2>A>D(D2>D1>D8>D7>D3)>F1>FDD1800. The above is an example, and the priority can also be adjusted according to the deployment status of the local network.

[0044] According to the determined carrier priority, the carrier combinations of different levels in the multi-layer network co-covered sector group are determined, and the carrier combinations constitute the networking structure of the multi-layer network co-covered sector group. Among them, the networking structure is composed of carrier combinations of different levels according to the carrier priority. Taking a sector group corresponding to 5 carriers F1, A, F2, D1 and FDD1800 as an example, the carrier priority F2>A>D1>F1>FDD1800 can form F2+A+F1+D1+FDD1800, A+F1+D1+FDD1800, F1+D1+FDD1800, F1+FDD1800, FDD1800 combinations. Among them, FDD1800 is the lowest priority for cell shutdown, and it must be guaranteed to be shut down last. Taking the above carrier combination as an example, calculate the combined bearing threshold threshold in the specified dimension corresponding to the carrier combination of different levels. Specifically, the combined load threshold of the carrier combination can be calculated according to the load threshold of each frequency band carrier in Table 1, as shown in the following Table 2:

[0045]

[0046]

[0047] Among them, the current sector group is a networking structure in which all carriers are currently activated. The first-level networking structure is a carrier combination after removing the F2 carrier according to the carrier priority level. The second-level networking structure is a carrier combination after removing the F2 and A carriers. The third-level networking structure is a carrier combination after removing the F2, A, and D1 carriers. The fourth-level networking structure is a carrier combination after removing the F2, A, D1, and F1 carriers. According to the carrier combination of each level, the carrying threshold thresholds of each frequency band carrier contained therein are added together to obtain the combined carrying threshold threshold of the carrier combination. Among them, the downlink equivalent PRB utilization rate = the weighted average of the downlink PRB utilization rates of each carrier in the sector.

[0048] Step S104, determining the cells to be shut down and the time period to be shut down according to the combined bearing thresholds in the specified dimension corresponding to the carrier combinations at different levels and comparing them with the predicted service data values ​​of each time period of the sector group.

[0049] According to the actual business, the historical business data of different carriers in the specified dimensions are obtained, and the historical business data of each carrier in each time period is obtained by statistical analysis according to the specified granularity. The specified granularity can be 1 hour, 15 minutes, etc., which can be set according to the implementation situation. The smaller the granularity, the more precise the division of business data and the higher the analysis accuracy. This embodiment takes the specified granularity of 1 hour as an example for explanation. According to the actual historical business data, the historical business data of each carrier in the specified dimension in different time periods is obtained according to the specified granularity of every 1 hour. Statistics are performed on the historical business data according to the statistical period to predict the business data forecast value for the future time period. Specifically, if 30 consecutive days are taken as a statistical period, the maximum value of the historical business data in the statistical period is used as the business data forecast value for the corresponding future time period; alternatively, the business data forecast value for the future time period can be obtained by predicting the historical business data of each statistical period through machine learning algorithms. The specific business data forecast values ​​are shown in Table 3 below:

[0050]

[0051]

[0052] The service data prediction values ​​of the carriers of different frequency bands in the specified dimension are converted to obtain the service data prediction values ​​of the specified dimension of the multi-layer network co-covered sector group in each time period, as shown in the following Table 4:

[0053]

[0054] Among them, the sector combination timing sets weighted values ​​for different carriers, and calculates the total value of the sector group according to the weighted values. The weighted values ​​are set according to the different carriers, actual services, etc., and are not limited here. Among them, the sector downlink equivalent PRB utilization rate = the weighted average of the downlink PRB utilization rates of the carriers used by each cell in the sector.

[0055] According to the combined load threshold thresholds in the specified dimension corresponding to the carrier combinations of different levels obtained in step S103, the lowest level carrier combination that meets the service data prediction value of the specified dimension of the sector group covered by the multi-layer network in each time period is found. For example, according to Table 2 and Table 4, the average number of RRC users of the sector group at time 0 is 32, the downlink traffic is 5.1GB, and the downlink equivalent PRB utilization rate is 43%. The average number of RRC users of the four-level networking structure FDD1800 is 64, the downlink traffic is 6.0GB, and the downlink equivalent PRB utilization rate is 62%. It can meet the needs of the sector group, so that according to the lowest level carrier combination, the cells of each carrier of the non-carrier combination can be determined as the cells to be shut down, and the corresponding time period is the time period to be shut down. That is, it is determined that the number of shut-down cells is 4, the cells to be shut down are the cells corresponding to the F2, A, F1, and D1 carriers, and the time period to be shut down is 0 hours.

[0056] Compare the time periods to determine the cells to be shut down and the time periods to be shut down, as shown in Table 5 below:

[0057]

[0058] Based on the search and comparison, the cells to be shut down and the time periods to be shut down are determined as shown in the above table.

[0059] Step S105, generating and issuing a cell shutdown instruction according to the cell to be shut down and the time period to be shut down, so as to shut down the cell to be shut down.

[0060] According to the cell to be shut down and the time period to be shut down, a cell shut down instruction corresponding to the base station equipment is generated for it. Different cell shut down instructions are generated for different equipment, different manufacturers, etc., and are set according to the specific implementation situation.

[0061] After the cell shutdown instruction is generated, the cell shutdown instruction is issued through the OMC (Operations & Maintenance Center) network management, and the cell to be shut down is correspondingly shut down during the shutdown time period.

[0062] Optionally, this embodiment may further include the following steps:

[0063] Step S106, monitoring the service data of the cell after being shut down, and determining whether the service data reaches a preset threshold indicator.

[0064] For the cell that has been shut down, after it is shut down, its service data is monitored in real time to monitor whether the various performance indicators corresponding to the service data have reached the preset threshold indicators. Here, the preset threshold indicators, performance indicators, etc. are set according to the implementation situation, such as whether the user needs are met, whether the service execution needs are met, etc. The above is an example, and it is set according to the implementation situation. If it is judged whether the service data reaches the preset threshold indicator, that is, whether it affects the normal use of the user, when it is judged that the service data reaches the preset threshold indicator, that is, it is judged that it affects the normal use of the user, then step S107 is executed.

[0065] Step S107, executing a cell activation instruction to wake up the cell after being shut down.

[0066] When it is determined that the service data reaches the preset threshold index, a cell activation instruction is generated for the cell. The generation of the cell activation instruction refers to the generation of the cell shutdown instruction. For different devices, different generation manufacturers, etc., the corresponding generated cell activation instructions are set according to the implementation situation.

[0067] Send and execute cell activation instructions to wake up the cell after it is shut down.

[0068] Furthermore, when the current time period is not a time period to be shut down, this step can be directly executed to wake up the cell after being shut down.

[0069] Step S108, counting the shutdown success rate and / or activation success rate of the cells to be shut down.

[0070] After executing a cell shutdown command or a cell activation command, statistics are taken on the cell shutdown and cell activation situations to obtain the shutdown success rate and / or activation success rate, so that subsequent data analysis can be performed based on the shutdown success rate and / or activation success rate to determine the cause of failure during shutdown and / or activation, so as to improve the shutdown success rate and / or activation success rate.

[0071] According to the cell shutdown energy-saving method provided by the present invention, by comparing the combined carrying threshold value of the carrier combination of different levels in the sector group with the predicted amount of business data in each time period of the sector group, the minimum carrier carrying configuration that can meet the existing network business volume in the sector group can be finely determined according to the granularity of the time period, and redundant cells can be shut down in the low-traffic time period to maximize the energy-saving benefits.

[0072] Figure 3 FIG. 4 shows a functional block diagram of a cell shutdown energy saving device according to an embodiment of the present invention. Figure 3 As shown, the cell shutdown energy saving device includes the following modules:

[0073] A determination module 310, adapted to determine a sector group co-covered by a multi-layer network;

[0074] The extraction module 320 is adapted to extract historical service data and determine the carrying threshold of the carrier used by each cell in the sector group in a specified dimension;

[0075] The calculation module 330 is adapted to calculate the combined carrying threshold value of the carrier combinations at different levels in the sector group in a specified dimension according to the carrying threshold value of each carrier;

[0076] A comparison module 340 is adapted to determine the cell to be shut down and the time period to be shut down according to the combined load threshold value in the specified dimension corresponding to the carrier combination of different levels and the predicted value of the service data in each time period of the sector group;

[0077] The shut-down module 350 is adapted to generate and issue a cell shut-down instruction according to the cell to be shut down and the time period to be shut down, so as to shut down the cell to be shut down.

[0078] Optionally, the extraction module 320 is further adapted to: determine a user perceived rate baseline based on historical service data; the service data includes physical resource block PRB resources, network service volume and / or number of users; determine the carrying threshold threshold of carriers in different frequency bands in a specified dimension based on the user perceived rate baseline and a preset user percentage threshold; the specified dimension includes the average number of users of the radio resource control RRC, downlink traffic and / or downlink PRB utilization.

[0079] Optionally, the calculation module 330 is further adapted to: set the carrier priority corresponding to the cell shutdown according to the networking capability of the carrier; determine the carrier combinations of different levels within the sector group covered by the multi-layer network according to the carrier priority, and calculate the combined bearing threshold threshold in the specified dimension corresponding to the carrier combinations of different levels.

[0080] Optionally, the comparison module 340 is further suitable for: obtaining historical service data of different carriers in specified dimensions, obtaining historical service data of each carrier in each time period according to specified granularity statistical analysis, and predicting service data prediction values ​​for future time periods; converting service data prediction values ​​of carriers of different frequency bands in specified dimensions to obtain service data prediction values ​​of sector groups co-covered by multi-layer networks in specified dimensions for each time period; searching for the lowest level carrier combination that meets the service data prediction values ​​of sector groups co-covered by multi-layer networks in specified dimensions in each time period based on the combined bearing thresholds in specified dimensions corresponding to carrier combinations of different levels; and determining, based on the lowest level carrier combination, the cells of each carrier of the non-carrier combination as cells to be shut down, and the corresponding time period as the time period to be shut down.

[0081] Optionally, the determination module 310 is further adapted to: obtain base station engineering parameters, measurement report MR data and / or minimization of drive test MDT data, and determine a multi-layer network co-covered sector group; wherein the multi-layer network co-covered sector group includes at least one multi-layer network co-covered cell.

[0082] Optionally, the device further includes: a wake-up module 360 ​​adapted to monitor the service data of the cell after being shut down, and determine whether the service data reaches a preset threshold indicator; if so, execute a cell activation instruction to wake up the cell after being shut down.

[0083] Optionally, the device further includes: a statistical module 370 adapted to count the shutdown success rate and / or activation success rate of the cell to be shut down.

[0084] The description of each module above refers to the corresponding description in the method embodiment and will not be repeated here.

[0085] The present application also provides a non-volatile computer storage medium, wherein the computer storage medium stores at least one executable instruction, and the computer executable instruction can execute the cell shutdown energy saving method in any of the above method embodiments.

[0086] Figure 4 A schematic structural diagram of an electronic device according to an embodiment of the present invention is shown. The specific embodiment of the present invention does not limit the specific implementation of the electronic device.

[0087] like Figure 4 As shown, the electronic device may include: a processor (processor) 402 , a communication interface (Communications Interface) 404 , a memory (memory) 406 , and a communication bus 408 .

[0088] in:

[0089] The processor 402 , the communication interface 404 , and the memory 406 communicate with each other via a communication bus 408 .

[0090] The communication interface 404 is used to communicate with other devices such as clients or other servers.

[0091] The processor 402 is used to execute the program 410, and specifically can execute the relevant steps in the above-mentioned cell shutdown energy saving method embodiment.

[0092] Specifically, the program 410 may include program codes, which include computer operation instructions.

[0093] The processor 402 may be a central processing unit (CPU), or an application-specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present invention. The one or more processors included in the electronic device may be processors of the same type, such as one or more CPUs; or processors of different types, such as one or more CPUs and one or more ASICs.

[0094] The memory 406 is used to store the program 410. The memory 406 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0095] The program 410 can be specifically used to enable the processor 402 to execute the cell shutdown energy saving method in any of the above method embodiments. The specific implementation of each step in the program 410 can refer to the corresponding descriptions in the corresponding steps and units in the above cell shutdown energy saving embodiment, which will not be repeated here. Those skilled in the art can clearly understand that for the convenience and simplicity of description, the specific working process of the above-described devices and modules can refer to the corresponding process description in the above-mentioned method embodiment, which will not be repeated here.

[0096] The algorithm and display provided herein are not inherently related to any particular computer, virtual system or other device. Various general purpose systems can also be used together with the teachings based on this. According to the above description, it is obvious that the structure required for constructing such systems. In addition, the present invention is not directed to any specific programming language either. It should be understood that various programming languages ​​can be utilized to realize the content of the present invention described herein, and the description of the above specific languages ​​is for disclosing the best mode of the present invention.

[0097] In the description provided herein, a large number of specific details are described. However, it is understood that embodiments of the present invention can be practiced without these specific details. In some instances, well-known methods, structures and techniques are not shown in detail so as not to obscure the understanding of this description.

[0098] Similarly, it should be understood that in order to streamline the present disclosure and aid in understanding one or more of the various inventive aspects, in the above description of exemplary embodiments of the present invention, various features of the present invention are sometimes grouped together into a single embodiment, figure, or description thereof. However, this disclosed method should not be interpreted as reflecting the intention that the claimed invention requires more features than those expressly recited in each claim. Rather, as reflected in the claims, inventive aspects lie in less than all of the features of the individual embodiments previously disclosed. Therefore, the claims that follow the detailed description are hereby expressly incorporated into the detailed description, with each claim itself serving as a separate embodiment of the present invention.

[0099] Those skilled in the art will appreciate that the modules in the devices in the embodiments may be adaptively changed and arranged in one or more devices different from the embodiments. The modules or units or components in the embodiments may be combined into one module or unit or component, and in addition they may be divided into a plurality of submodules or subunits or subcomponents. Except that at least some of such features and / or processes or units are mutually exclusive, all features disclosed in this specification (including the accompanying claims, abstracts and drawings) and all processes or units of any method or device disclosed in this manner may be combined in any combination. Unless otherwise expressly stated, each feature disclosed in this specification (including the accompanying claims, abstracts and drawings) may be replaced by an alternative feature providing the same, equivalent or similar purpose.

[0100] In addition, those skilled in the art will appreciate that, although some embodiments described herein include certain features included in other embodiments but not other features, the combination of features of different embodiments is meant to be within the scope of the present invention and form different embodiments. For example, in the claims, any one of the claimed embodiments may be used in any combination.

[0101] The various component embodiments of the present invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art should understand that a microprocessor or a digital signal processor (DSP) may be used in practice to implement some or all of the functions of some or all of the components in the cell shutdown energy saving device according to an embodiment of the present invention. The present invention may also be implemented as a device or apparatus program (e.g., a computer program and a computer program product) for executing part or all of the methods described herein. Such a program for implementing the present invention may be stored on a computer-readable medium, or may be in the form of one or more signals. Such a signal may be downloaded from an Internet website, or provided on a carrier signal, or provided in any other form.

[0102] It should be noted that the above embodiments illustrate the present invention rather than limit it, and that those skilled in the art may devise alternative embodiments without departing from the scope of the appended claims. In the claims, any reference symbol between brackets shall not be construed as a limitation on the claims. The word "comprising" does not exclude the presence of elements or steps not listed in the claims. The word "one" or "an" preceding an element does not exclude the presence of a plurality of such elements. The present invention may be implemented by means of hardware comprising a number of different elements and by means of a suitably programmed computer. In a unit claim enumerating a number of devices, several of these devices may be embodied by the same hardware item. The use of the words first, second, and third, etc., does not indicate any order. These words may be interpreted as names.

Claims

1. A cell shutdown energy saving method, characterized in that: Methods include: Determine the sector groups covered by the multi-layer network; Extract historical service data and determine the load threshold of the carrier used by each cell in the sector group in the specified dimension; According to the carrier priority, different levels of carrier combinations are formed in sequence, and according to the load threshold of each carrier, the combined load threshold of the carrier combinations of different levels in the sector group in the specified dimension is calculated; wherein, the carrier combinations of different levels formed in sequence according to the carrier priority include: the current level is a networking structure in which all the current carriers of the sector group are activated, and the networking structure of the next level is a carrier combination after removing the highest priority carrier in the previous level according to the carrier priority; the lowest priority is finally turned off; Determine the cell to be shut down and the time period to be shut down according to the combined load threshold value in the specified dimension corresponding to the carrier combination of different levels and the predicted value of the service data in each time period of the sector group; Generate and issue a cell shutdown instruction according to the cell to be shut down and the time period to be shut down, so as to shut down the cell to be shut down; The determining of the to-be-shutdown cell and the to-be-shutdown time period according to the combined load threshold in the specified dimension corresponding to the carrier combinations at different levels and the predicted value of the service data in each time period of the sector group further includes: Obtain historical service data of different carriers in specified dimensions, obtain historical service data of each carrier in each time period according to specified granularity statistics and analysis, and predict service data forecast values ​​for future time periods; The service data prediction values ​​of carriers of different frequency bands in the specified dimension are converted to obtain the service data prediction values ​​of the specified dimension of the sector group covered by the multi-layer network in each time period; According to the combined bearing thresholds in the specified dimension corresponding to the carrier combinations of different layers, find the lowest layer carrier combination that meets the service data prediction value of the specified dimension of the sector group covered by the multi-layer network in each time period; According to the carrier combination of the lowest level, it is determined that the cells of each carrier of the non-carrier combination are cells to be shut down, and the corresponding time period is the time period to be shut down.

2. The method according to claim 1, characterized in that The extracting of historical service data to determine the load threshold of the carrier used by each cell in the sector group in the specified dimension further includes: Determine a user perceived rate baseline based on historical service data; the service data includes physical resource block (PRB) resources, network service volume and / or number of users; The load threshold of carriers in different frequency bands in specified dimensions is determined according to the user perceived rate baseline and the preset user percentage threshold; the specified dimension includes the average number of users of the radio resource control RRC, downlink traffic and / or downlink PRB utilization.

3. The method according to claim 1, characterized in that The calculating, according to the carrying threshold of each carrier, the combined carrying threshold of the carrier combinations at different levels in the sector group in the specified dimension further includes: According to the carrier networking capability, set the carrier priority corresponding to the cell shutdown; The carrier combinations of different levels in the sector group covered by the multi-layer network are determined according to the carrier priorities, and the combined bearing thresholds in the specified dimension corresponding to the carrier combinations of different levels are calculated.

4. The method according to claim 1, characterized in that: The determining of the sector group covered by the multi-layer network further comprises: Acquire base station engineering parameters, measurement report MR data and / or minimization of drive test MDT data, and determine a multi-layer network co-covered sector group; wherein the multi-layer network co-covered sector group includes at least one multi-layer network co-covered cell.

5. The method according to claim 1, characterized in that The method further comprises: Monitoring the service data of the cell after shutdown to determine whether the service data reaches a preset threshold indicator; If so, execute the cell activation command to wake up the cell after being shut down.

6. The method according to claim 1, characterized in that The method further comprises: The shutdown success rate and / or activation success rate of the cell to be shut down is counted.

7. A cell shutdown energy saving device, characterized in that: The device includes: A determination module, adapted to determine a sector group covered by a multi-layer network; An extraction module, adapted to extract historical service data and determine a load threshold value of a carrier used by each cell in a sector group in a specified dimension; A calculation module is suitable for sequentially forming carrier combinations of different levels according to the carrier priority level, and calculating the combined load threshold value of the carrier combinations of different levels in the sector group in a specified dimension according to the load threshold value of each carrier; wherein the carrier combinations of different levels sequentially formed according to the carrier priority level include: the current level is a networking structure in which all current carriers of the sector group are activated, and the networking structure of the next level is a carrier combination after removing the highest priority carrier in the previous level according to the carrier priority level; the lowest priority is finally turned off; A comparison module, adapted to determine the cell to be shut down and the time period to be shut down according to the combined load threshold value in the specified dimension corresponding to the carrier combination of different levels, compared with the service data prediction value of each time period of the sector group; A shutdown module, adapted to generate and issue a cell shutdown instruction according to the cell to be shut down and the time period to be shut down, so as to shut down the cell to be shut down; The comparison module is further adapted to: Obtain historical service data of different carriers in specified dimensions, obtain historical service data of each carrier in each time period according to specified granularity statistics and analysis, and predict service data forecast values ​​for future time periods; The service data prediction values ​​of carriers of different frequency bands in the specified dimension are converted to obtain the service data prediction values ​​of the specified dimension of the sector group covered by the multi-layer network in each time period; According to the combined bearing thresholds in the specified dimension corresponding to the carrier combinations of different layers, find the lowest layer carrier combination that meets the service data prediction value of the specified dimension of the sector group covered by the multi-layer network in each time period; According to the carrier combination of the lowest level, it is determined that the cells of each carrier of the non-carrier combination are cells to be shut down, and the corresponding time period is the time period to be shut down.

8. An electronic device comprising: A processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface communicate with each other via the communication bus; The memory is used to store at least one executable instruction, and the executable instruction enables the processor to perform operations corresponding to the cell shutdown energy saving method according to any one of claims 1 to 6.

9. A computer storage medium, wherein at least one executable instruction is stored in the storage medium, and the executable instruction enables a processor to execute operations corresponding to the cell shutdown energy saving method according to any one of claims 1 to 6.

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