Energy efficiency evaluation method and device, and processing equipment

Abstract

The invention discloses an energy efficiency evaluation method and device, processing equipment and a computer readable storage medium, and the method comprises the steps: fitting an energy efficiency baseline according to the energy efficiency data of a plurality of regions, the energy efficiency baseline being a change curve of energy efficiency along with the flow of a single station and / or PRB utilization rate; and determining the energy efficiency advantages and disadvantages of the plurality of areas according to the energy efficiency base line.

Description

Technical Field

[0001] The present application relates to the field of wireless technology, and in particular to an energy efficiency evaluation method and apparatus, a processing device, and a computer-readable storage medium. Background Art

[0002] For mobile communication networks, energy efficiency is an important indicator to measure its performance. The common definition of energy efficiency is traffic / energy consumption. When evaluating the energy efficiency of each region, the existing method is to sum up the traffic and energy consumption of each region over a period of time, calculate the energy efficiency value based on the total traffic and total energy consumption, and then simply sort the energy efficiency values ​​of each region, such as Figure 1 As shown, areas with energy efficiency values ​​below a certain threshold are considered to be areas with energy efficiency problems (i.e., energy efficiency problem areas).

[0003] Since energy efficiency increases with the growth of traffic, the above method of sorting energy efficiency values ​​and identifying areas below a certain threshold as energy efficiency problem areas is unfair to areas with low traffic. Therefore, the existing method of identifying energy efficiency problem areas is not accurate. Summary of the invention

[0004] In order to solve the above technical problems, the embodiments of the present application provide an energy efficiency evaluation method and apparatus, a processing device, and a computer-readable storage medium.

[0005] The energy efficiency evaluation method provided in the embodiment of the present application includes:

[0006] Fitting an energy efficiency baseline according to energy efficiency data of multiple regions, wherein the energy efficiency baseline is a curve of energy efficiency changing with single-station traffic and / or physical resource block (PRB) utilization;

[0007] The energy efficiency of the multiple areas is determined according to the energy efficiency baseline.

[0008] The energy efficiency evaluation device provided in the embodiment of the present application includes:

[0009] A fitting unit, used for fitting an energy efficiency baseline according to energy efficiency data of multiple regions, wherein the energy efficiency baseline is a curve of energy efficiency changing with single station traffic and / or PRB utilization;

[0010] An evaluation unit is used to determine the energy efficiency of the multiple areas according to the energy efficiency baseline.

[0011] The processing device provided in the embodiment of the present application includes: a processor and a memory, the memory is used to store a computer program, and the processor is used to call and run the computer program stored in the memory to execute any one of the above-mentioned energy efficiency evaluation methods.

[0012] The computer-readable storage medium provided in the embodiment of the present application is used to store a computer program, and the computer program enables a computer to execute any one of the above-mentioned energy efficiency evaluation methods.

[0013] In the technical solution of the embodiment of the present application, the energy efficiency baseline is fitted based on the energy efficiency data of multiple areas of the existing network, rather than a fixed curve, and is therefore more in line with the actual development of the energy efficiency of the existing network; the energy efficiency advantages and disadvantages of multiple areas are determined based on the energy efficiency baseline method, which is equivalent to setting energy efficiency standards for areas with different traffic levels, effectively solving the problem that energy efficiency comparisons cannot be performed in areas with different traffic levels. Therefore, compared with the prior art, the technical solution of the embodiment of the present application can more accurately and effectively screen out energy efficiency problem areas, laying the foundation for improving network energy efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 This is a schematic diagram of energy efficiency ranking of various regions;

[0015] Figure 2 This is a schematic diagram of the energy efficiency evaluation method provided in the embodiment of the present application. Figure 1 ;

[0016] Figure 3 This is a schematic diagram of the energy efficiency evaluation method provided in the embodiment of the present application. Figure 2 ;

[0017] Figure 4 This is a schematic diagram of the energy efficiency evaluation method provided in the embodiment of the present application. Figure 3 ;

[0018] Figure 5 It is a schematic diagram of energy efficiency baseline fitting provided in an embodiment of the present application;

[0019] Figure 6 It is a schematic diagram of energy efficiency deviation values ​​of various provinces provided in the embodiment of the present application;

[0020] Figure 7 This is a schematic diagram of the energy efficiency evaluation method provided in the embodiment of the present application. Figure 4 ;

[0021] Figure 8 It is a schematic diagram of the structure of the energy efficiency evaluation device provided in the embodiment of the present application;

[0022] Fig. 9 It is a schematic structural diagram of a processing device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0023] The following will describe the technical solutions in the embodiments of the present application in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0024] It should be noted that in the embodiments of the present application, the term "and / or" is only a description of the association relationship of the associated objects, indicating that three relationships may exist. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, in the embodiments of the present application, the character " / " generally indicates that the associated objects before and after are in an "or" relationship.

[0025] In the description of the embodiments of the present application, the term "corresponding" may indicate that there is a direct or indirect correspondence relationship between two things, or may indicate that there is an associative relationship between the two things.

[0026] The "dual carbon" goal drives the development of mobile communication networks towards both performance and energy conservation. It is necessary to introduce green-related assessment and evaluation mechanisms, and energy efficiency (abbreviated as energy efficiency) has gradually become an important indicator for operators. From the perspective of wireless network energy efficiency operation and optimization, in addition to evaluating the energy efficiency of equipment and single-station energy efficiency, it is also necessary to compare the energy efficiency of networks in different regions horizontally, identify energy efficiency problem areas, and then carry out targeted energy efficiency optimization.

[0027] The common definition of energy efficiency is traffic / energy consumption, and energy efficiency is proportional to traffic. Due to different geographical environments and population densities, traffic varies greatly in different regions. Since traffic has a major impact on energy efficiency, even if the network planning and network optimization are reasonable and energy-saving technologies are properly applied in some regions, the energy efficiency may be at a low level due to low traffic. On the contrary, although the energy efficiency values ​​of regions with higher traffic are higher, there may be energy efficiency problems and there is a large room for optimization. In addition, due to the existence of static power consumption, although energy consumption and system load are linear, there is an intercept, so the change of energy efficiency with traffic is nonlinear, that is, different regions cannot compare energy efficiency through linear conversion of traffic.

[0028] The current sorting method is not accurate in identifying energy efficiency problem areas. In addition, the current method is unable to identify low energy efficiency problems caused by factors such as equipment problems, base station configuration, or application of energy-saving features. How to achieve fair and reasonable energy efficiency comparisons in areas with different traffic levels, so as to effectively identify the real energy efficiency problem areas that need to be solved. To this end, the following technical solutions of the embodiments of the present application are proposed.

[0029] The technical solution of the embodiment of the present application collects the single-station traffic or PRB utilization and energy efficiency values ​​in all areas to be evaluated, and fits the energy efficiency curve with the single-station traffic or PRB utilization, that is, the energy efficiency baseline, and determines the target area with energy efficiency problems by comparing the degree of deviation between the actual energy efficiency of each area and the energy efficiency baseline.

[0030] Figure 2 This is a schematic diagram of the energy efficiency evaluation method provided in the embodiment of the present application. Figure 1 , applied to an energy efficiency evaluation module, the energy efficiency evaluation module is set on a first platform, the first platform can be an operator-level operation and maintenance platform or an operator-level network optimization platform or an operator-level power saving platform or an intelligent power saving platform or an energy efficiency monitoring platform, etc.; Figure 2 As shown, the energy efficiency evaluation method includes the following steps:

[0031] Step 201: Obtain energy efficiency data of multiple areas.

[0032] Here, the region refers to the area to be evaluated for energy efficiency (referred to as the area to be evaluated). The region can also be described as a geographical area or a location area. For example, the region can be divided according to the granularity of province, city, district / county, or specific location. "Region" can also be replaced by "network", for example, the region can also be an operator's network, a province's network, a city's network, a district's network, etc.

[0033] For each area, one or more base stations may be included, and base stations may also be replaced by sites or wireless main devices. For example, the area to be evaluated includes area 1, area 2, and area 3, where area 1 includes base stations 11 and 12, area 2 includes base stations 21, 22, and 23, and area 3 includes base station 31.

[0034] Each region may include one or more cells. For example, the region to be evaluated includes region 1, region 2, and region 3, wherein region 1 includes cells 11 and 12, region 2 includes cells 21, 22, and 23; and region 3 includes cell 31.

[0035] In some embodiments, the energy efficiency data of multiple regions is obtained, specifically, obtaining energy efficiency data of each base station or cell in each of the multiple regions, wherein the energy efficiency data includes but is not limited to at least one of the following: traffic, PRB utilization, and energy consumption. For example, the energy efficiency data of each base station or cell includes: traffic and energy consumption of the base station or cell. For example, the energy efficiency data of each base station or cell includes: traffic, PRB utilization, and energy consumption of the base station or cell.

[0036] In other embodiments, the energy efficiency data of multiple regions is obtained, specifically, obtaining energy efficiency data of each region of the multiple regions, wherein the energy efficiency data includes, but is not limited to, at least the following: flow rate, PRB utilization rate, energy consumption, and number of base stations. For example, the energy efficiency data of each region includes: flow rate, number of base stations, and energy consumption of the region. For example, the energy efficiency data of each region includes: flow rate, PRB utilization rate, and energy consumption of the region.

[0037] It should be noted that, unless otherwise specified, the energy efficiency data described in this article refers to the energy efficiency data obtained during the evaluation period. The above-mentioned acquisition of energy efficiency data of multiple regions specifically refers to: acquiring energy efficiency data of each base station or cell in each of the multiple regions over a period of time; or acquiring energy efficiency data of each of the multiple regions over a period of time.

[0038] For example, the traffic / PRB utilization rate (i.e., traffic or PRB utilization rate) of the above-mentioned base station refers to the traffic / PRB utilization rate of the base station during the evaluation period. Among them, the traffic of the base station during the evaluation period is: the sum of the traffic of the base station in each measurement period during the evaluation period. The PRB utilization rate of the base station during the evaluation period is: the average of the PRB utilization rates of the base station in each measurement period during the evaluation period.

[0039] For example, the energy consumption of the above-mentioned base station refers to the energy consumption of the base station in the evaluation period. The energy consumption of the base station in the evaluation period is: the sum of the energy consumption of the base station in each measurement period in the evaluation period.

[0040] It should be noted that an evaluation period may include one or more measurement periods, and a measurement period refers to a period in which a base station measures (or collects or collects statistics) energy efficiency data (such as flow / PRB utilization, energy consumption).

[0041] The traffic of a base station within a measurement period refers to: the sum of the user plane traffic of each cell covered by the base station within the measurement period, wherein the user plane traffic includes the sum of the traffic of uplink data and downlink data. Exemplarily, the traffic of uplink data may be the traffic of an uplink packet data convergence protocol protocol data unit (PDCP PDU) or an uplink radio link control service data unit (RLC SDU), and the traffic of downlink data may be the traffic of a downlink PDCP PDU or a downlink RLC SDU. The unit of traffic may be bit (bit) or byte (Byte) or megabyte (Mbyte) or gigabyte (Gbyte), etc. Optionally, the above user plane traffic needs to exclude invalid traffic. Exemplarily, invalid traffic includes retransmitted user plane traffic and / or control plane traffic.

[0042] The energy consumption of the base station during the measurement period is: the average power of the base station (specifically, the baseband unit (BBU), or the active antenna unit (AAU), or the remote radio unit (RRU), or BBU+AAU, or BBU+RRU, etc.) during the measurement period multiplied by the duration of the measurement period. The unit of power can be watt (W) or kilowatt (Kw), etc. The unit of energy consumption can be joule (J) or kilowatt-hour (Kwh), etc.

[0043] The PRB utilization of the base station in the measurement period is: the average of the PRB utilization of the base station in each scheduling period in the measurement period. The PRB utilization in the scheduling period is: the number of PRBs scheduled on the bandwidth in the scheduling period divided by the total number of PRBs contained in the bandwidth. The PRB utilization can be divided into uplink PRB utilization and downlink PRB utilization, and the uplink PRB utilization and downlink PRB utilization are calculated independently.

[0044] It should be noted that the PRB utilization mentioned in this document may be an uplink average PRB utilization or a downlink average PRB utilization or an uplink and downlink average PRB utilization.

[0045] It should be noted that the base station mentioned in this article can be a logical site or a physical site.

[0046] Step 202: Fit an energy efficiency baseline according to energy efficiency data of multiple regions, where the energy efficiency baseline is a curve of energy efficiency changing with single-station traffic and / or PRB utilization.

[0047] In the embodiment of the present application, the energy efficiency baseline may be fitted by using any one of the following schemes 1 or 2.

[0048] Solution 1

[0049] Solution 1-1)

[0050] 1) According to the traffic and energy consumption of each base station or cell in each area, the traffic and energy consumption of each area are calculated. Alternatively, the traffic and energy consumption of each area are directly obtained.

[0051] Here, for each of the multiple areas, the flow rate of the area is: the sum of the flows of the base stations in the area. The energy consumption of the area is: the sum of the energy consumption of the base stations in the area.

[0052] 2) Calculate the energy efficiency value of each area based on the flow rate and energy consumption of each area.

[0053] Here, for each of the multiple areas, the energy efficiency value of the area is: the energy consumption of the area divided by the flow rate of the area.

[0054] 3) Based on the traffic volume in each area and the number of base stations in each area, calculate the average single-station traffic volume in each area.

[0055] Here, for each of the multiple areas, the average single-station flow of the area is: the flow of the area divided by the number of base stations in the area (that is, the number of base stations included in the area).

[0056] 4) Fit the energy efficiency baseline according to the average single-station flow in each of the multiple regions and the energy efficiency value of each region.

[0057] Solution 1-2)

[0058] 1) According to the PRB utilization rate and energy consumption of each base station or cell in each area, the PRB utilization rate and energy consumption of each area are calculated. Alternatively, the PRB utilization rate and energy consumption of each area are directly obtained.

[0059] Here, for each of the multiple areas, the energy consumption of the area is: the sum of the energy consumptions of the base stations in the area. The PRB utilization rate of the area is: the average value of the PRB utilization rates of the base stations in the area.

[0060] 2) Calculate the energy efficiency value of each area based on the flow rate and energy consumption of each area.

[0061] Here, for each of the multiple areas, the energy efficiency value of the area is: the energy consumption of the area divided by the flow rate of the area.

[0062] 3) Fitting an energy efficiency baseline according to the PRB utilization rate of each region in the multiple regions and the energy efficiency value of each region.

[0063] As an implementation method, the average single-station flow rate is used as the horizontal axis and the energy efficiency value is used as the vertical axis. According to the energy efficiency data of multiple regions {average single-station flow rate, energy efficiency value}, a curve of energy efficiency value changing with average single-station flow rate is fitted, namely, the energy efficiency baseline.

[0064] As another implementation method, with PRB utilization as the horizontal axis and energy efficiency value as the vertical axis, a curve of energy efficiency value changing with PRB utilization, i.e., energy efficiency baseline, is fitted according to energy efficiency data {PRB utilization, energy efficiency value} of multiple regions.

[0065] In specific implementation, curve fitting can be implemented using Python or data statistics software (such as Excel, Tableau, etc.), and the energy efficiency data of multiple regions can be input into the software. A curve type is selected from the curve type options provided by the software for fitting, and the energy efficiency baseline corresponding to the curve type is obtained. The expression (or function) of the energy efficiency baseline is referred to as the energy efficiency baseline expression (or energy efficiency baseline function). By selecting different curve types (such as polynomial function curves or power function curves, etc.), multiple energy efficiency baselines can be fitted. Each energy efficiency baseline has a P value (representing confidence) and / or R square value (representing goodness of fit) to characterize the quality of the energy efficiency baseline. According to the P value and / or R square value, an energy efficiency baseline is selected from the multiple fitted energy efficiency baselines as the final energy efficiency baseline. The principle of selection here is to give priority to energy efficiency baselines with smaller P values ​​and / or larger R square values. Generally, it is believed that when p≤0.05, the output of the energy efficiency baseline expression (or energy efficiency baseline function) does not have contingency, and the result is reliable. The R-squared value indicates the strength of the relationship between the response variable and the dependent variable of the energy efficiency baseline expression (or energy efficiency baseline function). The closer it is to 1, the stronger the relationship between the response variable and the dependent variable of the energy efficiency baseline expression (or energy efficiency baseline function).

[0066] Solution 2

[0067] 1) Base stations in multiple areas are divided according to base station characteristics to obtain multiple groups of base stations, where the base station characteristics include at least one of the following: base station type, base station frequency band, base station channel number, and base station PRB utilization level.

[0068] Here, the base station types include, for example, macro stations, pole micro stations, pico stations, and indoor substations. Different base station characteristics correspond to different base station categories, that is, the base station category can be divided according to one or more base station characteristics such as base station type (such as macro stations, pole micro stations, pico stations, and indoor substations), base station frequency bands (such as 4.9G, 2.6G, 700M, etc.), number of base station antenna channels (such as 64TR, 32TR, 8TR, 4TR, 2TR, etc.), and base station PRB utilization. For each base station in multiple regions, grouping is performed according to the base station characteristics to obtain multiple groups of base stations, and each group of base stations corresponds to a base station characteristic. For example, the area to be evaluated includes region 1, region 2, and region 3, wherein region 1 includes base station 11 (having base station characteristic 1) and base station 12 (having base station characteristic 2), region 2 includes base station 21 (having base station characteristic 1), base station 22 (having base station characteristic 2), and base station 23 (having base station characteristic 3); region 3 includes base station 31 (having base station characteristic 1). By grouping according to the characteristics of the base stations, the following three groups of base stations can be obtained: Group 1 {base station 11, base station 21, base station 31}, Group 2 {base station 12, base station 22}, Group 3 {base station 31}, among which Group 1 has base station characteristic 1, Group 2 has base station characteristic 2, and Group 3 has base station characteristic 3.

[0069] 2) For each group of base stations in the multiple groups of base stations, the energy efficiency value of each base station is calculated according to the traffic of each base station in the group and the energy consumption of each base station, or the energy efficiency value of each area in the group of base stations is calculated according to the traffic of each area and the energy consumption of each area.

[0070] Here, the energy efficiency value of the base station is: the energy consumption of the base station divided by the traffic of the base station.

[0071] Here, the energy efficiency value of a region is: the energy consumption of the region divided by the flow rate of the region.

[0072] 3) For each group of base stations in the multiple groups of base stations, the energy efficiency baseline corresponding to the group of base stations is fitted according to the single-station traffic and energy efficiency value of each base station in the group of base stations, or the energy efficiency baseline corresponding to the group of base stations is fitted according to the average single-station traffic and energy efficiency value of each area in the group of base stations, or the energy efficiency baseline corresponding to the group of base stations is fitted according to the PRB utilization rate and energy efficiency value of each base station in the group of base stations, or the energy efficiency baseline corresponding to the group of base stations is fitted according to the PRB utilization rate and energy efficiency value of each area in the group of base stations.

[0073] The corresponding energy efficiency baseline is fitted according to the base station characteristics. Specifically, for each base station characteristic, the energy efficiency baseline corresponding to the base station type is fitted according to the single-station traffic or average PRB utilization rate and energy efficiency value of each base station in a group of base stations corresponding to the base station characteristics, or the energy efficiency baseline corresponding to the base station type is fitted according to the average single-station traffic or average PRB utilization rate and energy efficiency value of each area in a group of base stations corresponding to the base station characteristics. In this way, the energy efficiency baselines corresponding to different base station characteristics can be obtained.

[0074] As an implementation method, the average single-station traffic is used as the horizontal axis and the energy efficiency value is used as the vertical axis. The energy efficiency value change curve with the single-station traffic is fitted according to the energy efficiency data {single-station traffic, energy efficiency value} of multiple base stations with the same base station characteristics to obtain the energy efficiency baseline corresponding to the base station characteristics.

[0075] As another implementation method, with PRB utilization as the horizontal axis and energy efficiency value as the vertical axis, a curve of energy efficiency value changing with PRB utilization is fitted according to energy efficiency data {PRB utilization, energy efficiency value} of multiple base stations with the same base station characteristics to obtain the energy efficiency baseline corresponding to the base station characteristics.

[0076] In specific implementation, curve fitting is similar to the above-mentioned solution 1, and Python or data statistics software (such as Excel, Tableau, etc.) can be used for curve fitting.

[0077] Step 203: Determine the energy efficiency of multiple areas according to the energy efficiency baseline.

[0078] In the embodiment of the present application, the target area with energy efficiency problems can be determined by adopting any one of the following schemes A or B, wherein Scheme A can be implemented in combination with the above-mentioned Scheme 1, and Scheme B can be implemented in combination with the above-mentioned Scheme 2.

[0079] Plan A

[0080] 1) Determine the energy efficiency baseline value of each region based on the energy efficiency baseline, and determine the energy efficiency deviation value between the energy efficiency value of each region and the energy efficiency baseline value.

[0081] Here, for each of the multiple regions, the average single-station flow or average PRB utilization rate of the region is substituted into the energy efficiency baseline expression (or energy efficiency baseline function) determined in Scheme 1 to obtain the energy efficiency baseline value of the region; the energy efficiency deviation value of the region is determined based on the following formula:

[0082] The energy efficiency deviation value of the region = (energy efficiency value of the region - energy efficiency baseline value of the region) / energy efficiency baseline value of the region; or,

[0083] The energy efficiency deviation value of the area=(the energy efficiency baseline value of the area-the energy efficiency value of the area) / the energy efficiency baseline value of the area.

[0084] 2) According to the energy efficiency deviation value of each area, determine the energy efficiency advantages and disadvantages of multiple areas.

[0085] Here, the energy efficiency deviation values ​​of each region can be sorted, and the regions with the energy efficiency deviation values ​​less than or equal to a certain threshold value Th in the last N (N is a positive integer) positions or in each region can be sorted. EE The areas are considered as energy efficiency problem areas (i.e. target areas with energy efficiency problems).

[0086] Plan B

[0087] 1) For each group of base stations in the multiple groups of base stations, determine the energy efficiency baseline value of each base station or each area in the group of base stations according to the energy efficiency baseline corresponding to the base station characteristics of the group of base stations, and determine the energy efficiency deviation value between the energy efficiency value of each base station or each area in the group of base stations and the energy efficiency baseline value.

[0088] In some implementations, the single-station traffic or average PRB utilization of the base station is brought into the energy efficiency baseline expression (or energy efficiency baseline function) corresponding to the base station characteristics of the base station determined in Scheme 2 to obtain the energy efficiency baseline value of the base station; and the energy efficiency deviation value of the base station is determined based on the following formula:

[0089] The energy efficiency deviation value of the base station = (the energy efficiency value of the base station - the energy efficiency baseline value of the base station) / the energy efficiency baseline value of the base station; or,

[0090] The energy efficiency deviation value of the base station = (the energy efficiency baseline value of the base station - the energy efficiency value of the base station) / the energy efficiency baseline value of the base station.

[0091] In some implementations, the average single-station traffic or average PRB utilization rate of the region is brought into the energy efficiency baseline expression (or energy efficiency baseline function) corresponding to the base station characteristics of the region determined by Scheme 2 to obtain the energy efficiency baseline value of the region; and the energy efficiency deviation value of the region is determined based on the following formula:

[0092] The energy efficiency deviation value of the region = (energy efficiency value of the region - energy efficiency baseline value of the region) / energy efficiency baseline value of the region; or,

[0093] The energy efficiency deviation value of the area=(the energy efficiency baseline value of the area-the energy efficiency value of the area) / the energy efficiency baseline value of the area.

[0094] 2) According to the energy efficiency deviation value between the energy efficiency value of each base station or each area in the group of base stations and the energy efficiency baseline value, the base station or area with energy efficiency problems in the group of base stations is determined.

[0095] Here, the energy efficiency deviation values ​​of each base station or each area in each region can be sorted, and the energy efficiency deviation values ​​less than or equal to a certain threshold value Th EE-site The base stations are considered to be base stations or areas with energy efficiency problems (i.e. base stations or areas with energy efficiency problems).

[0096] 3) Counting the proportion of base stations with energy efficiency problems in each of the multiple regions to the total number of base stations in the region, and determining the energy efficiency advantages and disadvantages in the multiple regions based on the proportion; or, taking the proportion of base stations in each region in each group of base stations to the total number of base stations in the region as the weight of each group of base stations in each region, and then weightedly summing the energy efficiency deviation values ​​of each region under the energy efficiency baseline fitted by each group of base stations to obtain the equivalent energy efficiency deviation value of each region.

[0097] Here, for each of the multiple regions, the number of base stations with energy efficiency problems in the region is divided by the total number of base stations in the region to obtain the proportion of base stations with energy efficiency problems in the region. The proportions of each region are sorted, and the proportions greater than or equal to a certain threshold Th EE-ratio The areas with energy efficiency problems are considered as energy efficiency problem areas (i.e. areas with energy efficiency problems); or the equivalent energy efficiency deviation values ​​of each area are sorted, and the areas with values ​​greater than or equal to a certain threshold are considered as energy efficiency problem areas.

[0098] The base stations with energy efficiency problems can be determined through the above step 2). Further, optionally, the above step 3) can also be performed to determine the areas with energy efficiency problems.

[0099] Further, after determining the target area with energy efficiency problems through the above scheme, the energy efficiency problem area can be optimized to improve its energy efficiency. In some embodiments, the energy-saving function threshold of the energy efficiency problem area can be adjusted, such as increasing the threshold parameters PRB utilization, RRC connected user number, etc. for entering and exiting the energy-saving function, to achieve energy efficiency improvement. Here, in the process of adjusting the energy-saving function threshold, it is necessary to monitor whether the performance indicator fluctuation of the area is within an acceptable range. If it is within an acceptable range, the energy-saving function threshold can be adjusted, otherwise the energy-saving function threshold cannot be adjusted. Exemplarily, the performance indicator can include packet loss rate, drop rate, delay, rate, etc. It should be noted that by increasing the energy-saving function threshold of the area, the area can more easily enter the energy-saving function, thereby improving the energy efficiency of the area. Taking PRB utilization as an example, the PRB utilization is increased from 3% to 5%. Then, when the PRB utilization of the area drops to 5%, the area can enter the energy-saving function.

[0100] The technical solution of the embodiment of the present application is that the energy efficiency baseline is based on the current network data fitting, rather than a fixed curve, so it is more in line with the actual development of the energy efficiency of the current network; the method based on the energy efficiency baseline is equivalent to setting energy efficiency standards for different traffic level areas, which effectively solves the problem that energy efficiency comparison cannot be performed in different traffic level areas. Therefore, compared with the existing technology, the technical solution of the embodiment of the present application can more accurately and effectively screen out energy efficiency problem areas, laying a foundation for improving the energy efficiency of mobile communication networks.

[0101] Figure 3 This is a schematic diagram of the energy efficiency evaluation method provided in the embodiment of the present application. Figure 2 ,like Figure 3 As shown, the energy efficiency evaluation method includes the following steps:

[0102] Step 301: Collect energy efficiency data.

[0103] Specifically, data of each base station in multiple areas is collected, and the data of each base station includes: base station category and identification, geographical location of the base station (i.e., the area to which the base station belongs), and energy efficiency data of the base station. The energy efficiency data of the base station includes the traffic or PRB utilization rate and energy consumption of the base station in each measurement cycle.

[0104] Here, the base station category information may include the base station type, base station frequency band, number of base station antenna channels, etc.

[0105] Here, the geographical location of the base station refers to the area to which the base station belongs, including at least one of a province, a city, a district / county, and a specific location.

[0106] Here, the definition of the flow rate or PRB utilization rate and energy consumption of the base station during the measurement period can refer to the above Figure 2 Related description.

[0107] As an example, the data of the base station may refer to the data shown in the following Table 1. The received energy efficiency data may include the data of multiple base stations as shown in the following Table 1.

[0108]

[0109] Table 1

[0110] Step 302: aggregate and collect statistics on energy efficiency data.

[0111] After the energy efficiency data of each base station in multiple areas are collected through the above step 301, the energy efficiency data is aggregated and counted.

[0112] Here, the aggregate statistics include the first step of statistics, and the first step of statistics includes: counting the traffic or average PRB utilization and energy consumption of each base station in multiple areas during the (current) evaluation period. Assume that an evaluation period contains N (N≥1) measurement periods. The traffic of the base station during the evaluation period is: the sum of the traffic of the base station in N measurement periods during the evaluation period. The PRB utilization of the base station during the evaluation period is: the average of the PRB utilization of the base station in N measurement periods during the evaluation period. The energy consumption of the base station during the evaluation period is: the sum of the energy consumption of the base station in N measurement periods during the evaluation period. Further, optionally, the first step of statistics also includes: counting the energy efficiency of each base station in multiple areas during the (current) evaluation period. The energy efficiency of the base station during the evaluation period is: the traffic of the base station during the evaluation period divided by the energy consumption of the base station during the evaluation period.

[0113] Further, optionally, the aggregate statistics also include a second-step statistics, and the second-step statistics include: counting the traffic or average PRB utilization, energy consumption, average single-station traffic, and energy efficiency of each of the multiple regions during the (current) evaluation period. Among them, the traffic of the region during the evaluation period is: the sum of the traffic of each base station in the region. The average PRB utilization of the region during the evaluation period is: the average of the PRB utilization of each base station in the region. The energy consumption of the region during the evaluation period is: the sum of the energy consumption of each base station in the region. The average single-station traffic of the region during the evaluation period is: the traffic of the region divided by the number of base stations in the region. The energy efficiency of the region during the evaluation period is: the traffic of the region divided by the energy consumption of the region.

[0114] Step 303: Fitting an energy efficiency baseline according to the aggregated energy efficiency data.

[0115] Solution 1: Fit the energy efficiency baseline based on the average single-station traffic or average PRB utilization rate of each area in multiple areas and the energy efficiency value of each area.

[0116] As an implementation method, the average single-station flow rate is used as the horizontal axis and the energy efficiency value is used as the vertical axis. According to the energy efficiency data of multiple regions {average single-station flow rate, energy efficiency value}, a curve of energy efficiency value changing with average single-station flow rate is fitted, namely, the energy efficiency baseline.

[0117] As another implementation method, with the average PRB utilization as the horizontal axis and the energy efficiency value as the vertical axis, a curve of the energy efficiency value changing with the average PRB utilization, i.e., the energy efficiency baseline, is fitted according to the energy efficiency data {average PRB utilization, energy efficiency value} of multiple regions.

[0118] Solution 2: Taking base station type as the dimension, fit the energy efficiency baseline corresponding to each base station type according to the single-station traffic or average PRB utilization and energy efficiency value of each base station type.

[0119] As an implementation method, the average single-station traffic is used as the horizontal axis and the energy efficiency value is used as the vertical axis. The energy efficiency value change curve with the single-station traffic is fitted according to the energy efficiency data {single-station traffic, energy efficiency value} of multiple base stations belonging to the same base station type to obtain the energy efficiency baseline corresponding to the base station type.

[0120] As another implementation method, with the average PRB utilization as the horizontal axis and the energy efficiency value as the vertical axis, a curve of the energy efficiency value changing with the average PRB utilization is fitted according to the energy efficiency data {average PRB utilization, energy efficiency value} of multiple base stations belonging to the same base station type to obtain the energy efficiency baseline corresponding to the base station type.

[0121] Step 304: Determine energy efficiency problem areas according to the energy efficiency baseline.

[0122] Scheme A (can be implemented in conjunction with Scheme 1 above): 1) For each region, the average single-station traffic or average PRB utilization rate of the region is substituted into the energy efficiency baseline expression (or energy efficiency baseline function) determined in Scheme 1 to obtain the energy efficiency baseline value of the region; the energy efficiency deviation value of the region is determined based on the following formula: the energy efficiency deviation value of the region = (energy efficiency value of the region - energy efficiency baseline value of the region) / energy efficiency baseline value of the region, or the energy efficiency deviation value of the region = (energy efficiency baseline value of the region - energy efficiency value of the region) / energy efficiency baseline value of the region. 2) Sort the energy efficiency deviation values ​​of each region, and consider the region with energy efficiency deviation values ​​less than or equal to a certain threshold ThEE as an energy efficiency problem region.

[0123] Scheme B (can be implemented in conjunction with Scheme 2 above): 1) For each base station, the single-station traffic or average PRB utilization of the base station is substituted into the energy efficiency baseline expression (or energy efficiency baseline function) corresponding to the base station characteristics of the base station determined in Scheme 2 to obtain the energy efficiency baseline value of the base station; the energy efficiency deviation value of the base station is determined based on the following formula: Energy efficiency deviation value of the base station = (energy efficiency value of the base station - energy efficiency baseline value of the base station) / energy efficiency baseline value of the base station, or Energy efficiency deviation value of the base station = (energy efficiency baseline value of the base station - energy efficiency value of the base station) / energy efficiency baseline value of the base station. 2) Sort the energy efficiency deviation values ​​of each base station, and sort the energy efficiency deviation values ​​less than or equal to a certain threshold value Th EE-site 3) Count the proportion of base stations with energy efficiency problems in each area, sort the proportions of each area, and sort the base stations with proportions greater than or equal to a certain threshold Th. EE-ratio of areas are considered energy efficiency problem areas.

[0124] Step 305: Optimize the energy efficiency problem area.

[0125] Here, the energy-saving function threshold of the energy-efficiency problem area can be adjusted, such as increasing the threshold parameters for entering and exiting the energy-saving function, such as PRB utilization, the number of RRC connected users, etc., to achieve energy efficiency improvement. Here, in the process of adjusting the energy-saving function threshold, it is necessary to monitor whether the performance indicator fluctuation of the area is within an acceptable range. If it is within the acceptable range, the energy-saving function threshold can be adjusted, otherwise the energy-saving function threshold cannot be adjusted. Exemplarily, the performance indicators may include packet loss rate, drop rate, delay, rate, etc. It should be noted that by increasing the energy-saving function threshold of the area, the area can more easily enter the energy-saving function, thereby improving the energy efficiency of the area. Taking PRB utilization as an example, increase the PRB utilization from 3% to 5%. Then, when the PRB utilization of the area drops to 5%, the area can enter the energy-saving function.

[0126] The technical solution of the embodiment of the present application is illustrated below with reference to specific application examples. In the following application examples, energy efficiency evaluation is performed with provinces as the regional granularity.

[0127] Application Example 1

[0128] This application example adopts the above-mentioned solution 1 and solution A. Figure 4 As shown, an energy efficiency evaluation module is provided on the operator-level power-saving platform, and the operator-level power-saving platform can also be replaced by an operator-level operation and maintenance platform or an intelligent power-saving platform or an energy efficiency monitoring platform, etc. The network operation and maintenance center (Operation and Maintenance Center, OMC) can also be replaced by a provincial power-saving platform or a provincial operation and maintenance platform, etc. The energy efficiency evaluation method of this application example includes the following steps:

[0129] Step 401: The energy efficiency evaluation module determines the evaluation period and the province to be evaluated, and sends an energy efficiency data collection request to the OMC of the province to be evaluated; the OMC then sends the energy efficiency data collection request to the base station.

[0130] Here, the energy efficiency data collection request sent by the energy efficiency evaluation module may include at least one of the following information: energy efficiency evaluation period, base station measurement period, base station reporting period, OMC reporting period, base station category and identification, base station location information, and the type of energy efficiency data that the base station needs to collect. Here, the type of energy efficiency data includes traffic or PRB utilization and energy consumption.

[0131] Here, the energy efficiency data collection request sent by the OMC may include at least one of the following information: energy efficiency evaluation period, base station measurement period, base station reporting period, base station category and identification, base station location information, and the type of energy efficiency data that the base station needs to collect. Here, the type of energy efficiency data includes traffic or PRB utilization and energy consumption.

[0132] It should be noted that the information carried in the energy efficiency data collection request sent by the OMC may be the same as, different from, or partially the same as the information carried in the energy efficiency data collection request sent by the energy efficiency evaluation module. The OMC may determine the information of the energy efficiency data collection request sent to the base station based on the information in the energy efficiency data collection request from the energy efficiency evaluation module.

[0133] Step 402: The base station collects the flow or PRB utilization and energy consumption in each measurement period according to the measurement period.

[0134] Step 403: The base station reports the collected data to the OMC according to its reporting period, including: base station type and identification, geographical location of the base station, measurement time of the base station in each measurement period, traffic or PRB utilization and energy consumption.

[0135] Step 404: The OMC aggregates and counts the received data and reports it to the energy efficiency evaluation module according to its reporting cycle.

[0136] Here, the OMC can aggregate and count the received data according to the evaluation period. Specifically, it is assumed that an evaluation period contains N (N≥1) measurement periods. The traffic of the base station in the evaluation period is: the sum of the traffic of the base station in the N measurement periods in the evaluation period. The PRB utilization of the base station in the evaluation period is: the average of the PRB utilization of the base station in the N measurement periods in the evaluation period. The energy consumption of the base station in the evaluation period is: the sum of the energy consumption of the base station in the N measurement periods in the evaluation period. The energy efficiency of the base station in the evaluation period is: the energy consumption of the base station in the evaluation period divided by the traffic of the base station in the evaluation period.

[0137] Step 405: The energy efficiency evaluation module further aggregates and counts the received data, that is, counts the flow or average PRB utilization, energy consumption, average single-station flow, and energy efficiency of the province during the (current) evaluation period.

[0138] Here, the flow rate of a province during the evaluation period is: the sum of the flows of all base stations in the province. The average PRB utilization rate of a province during the evaluation period is: the average of the PRB utilization rates of all base stations in the province. The energy consumption of a province during the evaluation period is: the sum of the energy consumption of all base stations in the province. The average single-station flow rate of a province during the evaluation period is: the flow rate of the province divided by the number of base stations in the province. The energy efficiency of a province during the evaluation period is: the energy consumption of the province divided by the flow rate of the province.

[0139] Step 406: The energy efficiency evaluation module fits the energy efficiency baseline according to the data obtained by aggregate statistics.

[0140] Here, since network energy efficiency is a comprehensive reflection of single-station energy efficiency, and single-station energy efficiency has a strong correlation with single-station traffic and PRB utilization, the average single-station traffic or average PRB utilization and energy efficiency value of all provinces to be evaluated are used to fit the energy efficiency baseline.

[0141] Curve fitting can be performed using Python or data statistics software (such as Excel, Tableau, etc.). For example, the average single-station flow rate is used as the horizontal axis and the energy efficiency value is used as the vertical axis. The energy efficiency data {average single-station flow rate, energy efficiency value} of multiple provinces are input into the software, and the software is used to fit the change curve of the energy efficiency value with the average single-station flow rate (i.e., the energy efficiency baseline), such as Figure 5 As shown, the expression (or function) of the energy efficiency baseline is referred to as the energy efficiency baseline expression (or energy efficiency baseline function).

[0142] Step 407: The energy efficiency assessment module determines the provinces with energy efficiency problems according to the energy efficiency baseline.

[0143] Specifically, 1) the average single-station flow value of each province is substituted into the energy efficiency baseline expression determined in the above step 406 to calculate the energy efficiency baseline value of each province; 2) the energy efficiency deviation value of each province's energy efficiency value and the corresponding energy efficiency baseline value is calculated according to the following formula: energy efficiency deviation value of the province = (energy efficiency value of the province - energy efficiency baseline value of the province) / energy efficiency baseline value of the province, or energy efficiency deviation value of the province = (energy efficiency baseline value of the province - energy efficiency value of the province) / energy efficiency baseline value of the province; 3) the energy efficiency deviation values ​​of each province are sorted, and provinces with energy efficiency deviation values ​​less than or equal to a certain threshold ThEE are considered to be provinces with energy efficiency problems, such as Figure 6 shown.

[0144] Furthermore, provinces with energy efficiency issues can be displayed in the form of a list or map on the front-end interface of the operator-level power saving platform.

[0145] Step 408: The energy efficiency assessment module feeds back the energy efficiency assessment result to the OMC, that is, feeds back the province with energy efficiency problems to the OMC.

[0146] Step 409: When the fluctuation of the OMC monitoring performance indicator is within an acceptable range, the threshold parameter for the base station to enter and exit the energy saving function is increased.

[0147] Here, the threshold parameters include, for example, PRB utilization, the number of RRC connected users, etc. In the process of adjusting the energy-saving function threshold, it is necessary to monitor whether the fluctuation of the performance indicators of the area is within an acceptable range. If it is within the acceptable range, the energy-saving function threshold can be adjusted, otherwise the energy-saving function threshold cannot be adjusted. Exemplarily, the performance indicators may include packet loss rate, drop rate, latency, rate, etc. It should be noted that by increasing the energy-saving function threshold of a region, the region can more easily enter the energy-saving function, thereby improving the energy efficiency of the region. Taking PRB utilization as an example, increase the PRB utilization from 3% to 5%. Then, when the PRB utilization of the region drops to 5%, the region can enter the energy-saving function.

[0148] Application Example 2

[0149] This application example adopts the above-mentioned solution 2 and solution B. Figure 7 As shown, an energy efficiency evaluation module is provided on the operator-level power-saving platform, and the operator-level power-saving platform can also be replaced by an operator-level operation and maintenance platform or an intelligent power-saving platform or an energy efficiency monitoring platform, etc., and the OMC can also be replaced by a provincial power-saving platform or a provincial operation and maintenance platform, etc. The energy efficiency evaluation method of this application example includes the following steps:

[0150] Step 701: The energy efficiency evaluation module determines the evaluation period and the province to be evaluated, and sends an energy efficiency data collection request to the OMC of the province to be evaluated; the OMC then sends the energy efficiency data collection request to the base station.

[0151] Here, the energy efficiency data collection request sent by the energy efficiency evaluation module may include at least one of the following information: energy efficiency evaluation period, base station measurement period, base station reporting period, OMC reporting period, base station category and identification, base station location information, and the type of energy efficiency data that the base station needs to collect. Here, the type of energy efficiency data includes traffic or PRB utilization and energy consumption.

[0152] Here, the energy efficiency data collection request sent by the OMC may include at least one of the following information: energy efficiency evaluation period, base station measurement period, base station reporting period, base station category and identification, base station location information, and the type of energy efficiency data that the base station needs to collect. Here, the type of energy efficiency data includes traffic or PRB utilization and energy consumption.

[0153] It should be noted that the information carried in the energy efficiency data collection request sent by the OMC may be the same as, different from, or partially the same as the information carried in the energy efficiency data collection request sent by the energy efficiency evaluation module. The OMC may determine the information of the energy efficiency data collection request sent to the base station based on the information in the energy efficiency data collection request from the energy efficiency evaluation module.

[0154] Step 702: The base station collects the flow or PRB utilization and energy consumption in each measurement period according to the measurement period.

[0155] Step 703: The base station reports the collected data to the OMC according to its reporting period, including: base station type and identification, geographical location of the base station, measurement time of the base station in each measurement period, traffic or PRB utilization and energy consumption.

[0156] Step 704: The OMC aggregates and counts the received data and reports it to the energy efficiency evaluation module according to its reporting cycle.

[0157] Here, the OMC can aggregate and count the received data according to the evaluation period. Specifically, it is assumed that an evaluation period contains N (N≥1) measurement periods. The traffic of the base station in the evaluation period is: the sum of the traffic of the base station in the N measurement periods in the evaluation period. The PRB utilization of the base station in the evaluation period is: the average of the PRB utilization of the base station in the N measurement periods in the evaluation period. The energy consumption of the base station in the evaluation period is: the sum of the energy consumption of the base station in the N measurement periods in the evaluation period. The energy efficiency of the base station in the evaluation period is: the energy consumption of the base station in the evaluation period divided by the traffic of the base station in the evaluation period.

[0158] Step 705: The energy efficiency evaluation module fits the energy efficiency baseline according to the data obtained by aggregation statistics.

[0159] Curve fitting can be performed using Python or data statistics software (such as Excel, Tableau, etc.). For example, the average single-station traffic is used as the horizontal axis, the energy efficiency value is used as the vertical axis, and the base station type is used as the dimension. The energy efficiency data {single-station traffic, energy efficiency value} of each base station of each base station type is input into the software. The software is used to fit a curve showing how the energy efficiency value corresponding to the base station type changes with the average single-station traffic (i.e., the energy efficiency baseline). The expression (or function) of the energy efficiency baseline is referred to as the energy efficiency baseline expression (or energy efficiency baseline function).

[0160] Step 706: The energy efficiency assessment module determines the provinces with energy efficiency problems according to the energy efficiency baseline.

[0161] Specifically, 1) the single-station flow value of each base station is substituted into the energy efficiency baseline expression determined in the above step 705 according to the base station type, and the energy efficiency baseline value of each base station is calculated; 2) the energy efficiency deviation value of the energy efficiency value of each base station and the corresponding energy efficiency baseline value is calculated according to the following formula: energy efficiency deviation value of the base station = (energy efficiency value of the base station - energy efficiency baseline value of the base station) / energy efficiency baseline value of the base station, or energy efficiency deviation value of the base station = (energy efficiency baseline value of the base station - energy efficiency value of the base station) / energy efficiency baseline value of the base station; 3) the energy efficiency deviation values ​​of each base station are sorted, and the energy efficiency deviation values ​​less than or equal to a certain threshold value Th are sorted.EE-site Base stations with energy efficiency problems are considered as base stations with energy efficiency problems; 4) Count the proportion of base stations with energy efficiency problems in each province, sort the proportions of each province, and sort the proportions of base stations with energy efficiency problems greater than or equal to a certain threshold Th EE-ratio of provinces consider energy efficiency as an issue.

[0162] Furthermore, provinces with energy efficiency issues can be displayed in the form of a list or map on the front-end interface of the operator-level power saving platform.

[0163] Step 707: The energy efficiency assessment module feeds back the energy efficiency assessment result to the OMC, that is, feeds back the province with energy efficiency problems to the OMC.

[0164] Step 708: When the fluctuation of the OMC monitoring performance indicator is within an acceptable range, the threshold parameter for the base station to enter and exit the energy saving function is increased.

[0165] Here, the threshold parameters include, for example, PRB utilization, the number of RRC connected users, etc. In the process of adjusting the energy-saving function threshold, it is necessary to monitor whether the fluctuation of the performance indicators of the area is within an acceptable range. If it is within the acceptable range, the energy-saving function threshold can be adjusted, otherwise the energy-saving function threshold cannot be adjusted. Exemplarily, the performance indicators may include packet loss rate, drop rate, latency, rate, etc. It should be noted that by increasing the energy-saving function threshold of a region, the region can more easily enter the energy-saving function, thereby improving the energy efficiency of the region. Taking PRB utilization as an example, increase the PRB utilization from 3% to 5%. Then, when the PRB utilization of the region drops to 5%, the region can enter the energy-saving function.

[0166] The technical solution of the embodiment of the present application adds an energy efficiency evaluation module to the operator-level operation and maintenance platform, collects energy efficiency data from the base station through the OMC of the area to be evaluated, and the energy efficiency evaluation module fits the curve of the change of energy efficiency value with the single-station traffic or PRB utilization rate based on the collected energy efficiency data, that is, the energy efficiency baseline, and determines the energy efficiency problem area by comparing the deviation degree between the actual energy efficiency of each area and the corresponding energy efficiency baseline; further, the OMC adjusts the parameter threshold of the energy-saving function according to the energy efficiency evaluation result, thereby improving the network energy efficiency. The technical solution of the embodiment of the present application, on the one hand, compares the energy efficiency when aligning the areas with the same traffic level, and sets different energy efficiency standards for areas with different traffic levels, which can effectively help operators screen out the real energy efficiency problem areas; on the other hand, the energy efficiency baseline is based on the current network data, rather than a fixed curve, so it is more in line with the actual development of the energy efficiency of the existing network.

[0167] Figure 8 is a schematic diagram of the structure of the energy efficiency evaluation device provided in the embodiment of the present application, such as Figure 8 As shown, the device comprises:

[0168] A fitting unit 802 is used to fit an energy efficiency baseline according to energy efficiency data of multiple regions, where the energy efficiency baseline is a curve of energy efficiency changing with single station traffic and / or PRB utilization;

[0169] The evaluation unit 803 is configured to determine the energy efficiency of the multiple areas according to the energy efficiency baseline.

[0170] In some implementations, the device further includes: an acquisition unit 801, configured to acquire energy efficiency data of multiple areas.

[0171] In some embodiments, the acquisition unit 801 is specifically used to obtain energy efficiency data of each base station in each area or cell in multiple areas; or, to obtain energy efficiency data of each area in multiple areas; wherein the energy efficiency data includes at least one of the following: traffic, PRB utilization, energy consumption, and number of base stations.

[0172] In some implementations, the acquisition unit 801 is used to acquire energy efficiency data of each base station or cell in each of the multiple areas within a period of time; or, acquire energy efficiency data of each of the multiple areas within a period of time.

[0173] In some embodiments, the device also includes: a first aggregation statistics unit 804, which is used to calculate the traffic of each area based on the traffic of each base station or cell in each area; and / or, calculate the energy consumption of each area based on the energy consumption of each base station or cell in each area; and / or, calculate the PRB utilization of each area based on the PRB utilization of each base station or cell in each area.

[0174] In some embodiments, the first aggregation statistics unit 804 is further used to calculate the energy efficiency value of each area based on the traffic of each area and the energy consumption of each area; and / or calculate the average single-station traffic of each area based on the traffic of each area and the number of base stations in each area.

[0175] In some embodiments, the fitting unit 802 is used to fit the energy efficiency baseline based on the average single-station traffic of each of the multiple regions and the energy efficiency value of each region; or to fit the energy efficiency baseline based on the PRB utilization rate of each of the multiple regions and the energy efficiency value of each region.

[0176] In some embodiments, the evaluation unit 803 is used to determine the energy efficiency baseline value of each area based on the energy efficiency baseline, and determine the energy efficiency deviation value between the energy efficiency value of each area and the energy efficiency baseline value; and determine the energy efficiency advantages and disadvantages of the multiple areas based on the energy efficiency deviation value of each area.

[0177] In some implementations, the device further includes: a second aggregation statistics unit 805, configured to calculate the energy efficiency value of each base station according to the traffic of each base station and the energy consumption of each base station.

[0178] In some embodiments, the device also includes: a division unit, used to divide each base station in the multiple areas according to base station characteristics to obtain multiple groups of base stations, and the base station characteristics include at least one of the following: base station type, base station frequency band, base station channel number, base station PRB utilization level.

[0179] In some embodiments, the fitting unit 802 is used to fit, for each group of base stations in the multiple groups of base stations, an energy efficiency baseline corresponding to the group of base stations according to the single-station traffic and energy efficiency value of each base station in the group of base stations; for each group of base stations in the multiple groups of base stations, the energy efficiency baseline corresponding to the group of base stations is fitted according to the average single-station traffic and energy efficiency value of each area in the group of base stations; or, for each group of base stations in the multiple groups of base stations, the energy efficiency baseline corresponding to the group of base stations is fitted according to the PRB utilization rate and energy efficiency value of each base station in the group; or, for each group of base stations in the multiple groups of base stations, the energy efficiency baseline corresponding to the group of base stations is fitted according to the PRB utilization rate and energy efficiency value of each area in the group of base stations.

[0180] In some embodiments, the evaluation unit 803 is used to determine, for each group of base stations in the multiple groups of base stations, an energy efficiency baseline value of each base station or each area in the group of base stations based on the energy efficiency baseline corresponding to the base station characteristics of the group of base stations, and determine an energy efficiency deviation value between the energy efficiency value of each base station or each area in the group of base stations and the energy efficiency baseline value; based on the energy efficiency deviation value between the energy efficiency value of each base station or each area in the group of base stations and the energy efficiency baseline value, determine the base stations or areas in the group of base stations that have energy efficiency problems.

[0181] In some implementations, the evaluation unit 803 is used to count the proportion of base stations with energy efficiency problems in each of the multiple areas to the total number of base stations in the area, and determine the energy efficiency of the multiple areas according to the proportion.

[0182] In some embodiments, the energy efficiency deviation value is determined based on the following formula: energy efficiency deviation value = (energy efficiency value - energy efficiency baseline value) / energy efficiency baseline value, or energy efficiency deviation value = (energy efficiency baseline value - energy efficiency value) / energy efficiency baseline value.

[0183] Those skilled in the art should understand that Figure 8 The functions implemented by each unit in the energy efficiency evaluation device shown can be understood by referring to the relevant description of the aforementioned method. Figure 8 The functions of each unit in the energy efficiency evaluation device shown can be implemented by a program running on a processor, or by a specific logic circuit.

[0184] Fig. 9 It is a schematic structural diagram of a processing device 900 provided in an embodiment of the present application. Fig. 9 The processing device 900 shown includes a processor 910, which can call and run a computer program from a memory to implement the method in the embodiment of the present application.

[0185] Alternatively, if Fig. 9 As shown, the processing device 900 may further include a memory 920. The processor 910 may call and run a computer program from the memory 920 to implement the method in the embodiment of the present application.

[0186] The memory 920 may be a separate device independent of the processor 910 , or may be integrated into the processor 910 .

[0187] Alternatively, if Fig. 9 As shown, the processing device 900 may further include a transceiver 930, and the processor 910 may control the transceiver 930 to communicate with other devices, specifically, may send information or data to other devices, or receive information or data sent by other devices.

[0188] The transceiver 930 may include a transmitter and a receiver. The transceiver 930 may further include an antenna, and the number of antennas may be one or more.

[0189] The processing device 900 can specifically be the first platform of the embodiment of the present application (such as an operator-level operation and maintenance platform or an operator-level power saving platform or an intelligent power saving platform or an energy efficiency monitoring platform, etc.), and the processing device 900 can implement the corresponding processes implemented by the energy efficiency evaluation module in the various methods of the embodiment of the present application. For the sake of brevity, they will not be repeated here.

[0190] It should be understood that the processor of the embodiment of the present application may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method embodiment can be completed by the hardware integrated logic circuit or software instructions in the processor. The above processor can be a general processor, a digital signal processor (Digital Signal Processor, DSP), an application-specific integrated circuit (Application Specific Integrated Circuit, ASIC), a field programmable gate array (Field Programmable Gate Array, FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components. The methods, steps and logic block diagrams disclosed in the embodiments of the present application can be implemented or executed. The general processor can be a microprocessor or the processor can also be any conventional processor. The steps of the method disclosed in the embodiment of the present application can be directly embodied as a hardware decoding processor to perform, or the hardware and software modules in the decoding processor are combined and performed. The software module can be located in a random access memory, a flash memory, a read-only memory, a programmable read-only memory or an electrically erasable programmable memory, a register, and other mature storage media in the art. The storage medium is located in the memory, and the processor reads the information in the memory and completes the steps of the above method in combination with its hardware.

[0191] It can be understood that the memory in the embodiments of the present application can be a volatile memory or a non-volatile memory, or can include both volatile and non-volatile memories. Among them, the non-volatile memory can be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), or a flash memory. The volatile memory can be a random access memory (RAM), which is used as an external cache. By way of example and not limitation, many forms of RAM are available, such as static random access memory (SRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDR SDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link dynamic random access memory (SLDRAM), and direct RAM bus random access memory (DR RAM). It should be noted that the memory of the systems and methods described herein is intended to include, but is not limited to, these and any other suitable types of memory.

[0192] It should be understood that the above-mentioned memory is exemplary but not restrictive. For example, the memory in the embodiments of the present application may also be static random access memory (static RAM, SRAM), dynamic random access memory (dynamic RAM, DRAM), synchronous dynamic random access memory (synchronous DRAM, SDRAM), double data rate synchronous dynamic random access memory (double data rate SDRAM, DDR SDRAM), enhanced synchronous dynamic random access memory (enhanced SDRAM, ESDRAM), synchronous link dynamic random access memory (synch link DRAM, SLDRAM) and direct memory bus random access memory (Direct Rambus RAM, DR RAM), etc. That is to say, the memory in the embodiments of the present application is intended to include but not limited to these and any other suitable types of memory.

[0193] The embodiment of the present application also provides a computer-readable storage medium for storing a computer program. The computer-readable storage medium can be applied to the energy efficiency evaluation module in the embodiment of the present application, and the computer program enables the computer to execute the corresponding processes implemented by the energy efficiency evaluation module in each method of the embodiment of the present application, which will not be described in detail here for the sake of brevity.

[0194] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0195] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0196] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0197] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0198] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0199] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0200] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. An energy efficiency evaluation method, characterized in that: The method comprises: Fitting an energy efficiency baseline according to energy efficiency data of multiple regions, wherein the energy efficiency baseline is a curve of energy efficiency varying with single-station traffic and / or physical resource block (PRB) utilization; The energy efficiency of the multiple areas is determined according to the energy efficiency baseline.

2. The method according to claim 1, characterized in that: The method further comprises: Obtaining energy efficiency data of each base station or cell in each of a plurality of areas; or obtaining energy efficiency data of each of a plurality of areas; The energy efficiency data includes at least one of the following: traffic, PRB utilization, energy consumption, and number of base stations.

3. The method according to claim 2, characterized in that The method further comprises: Calculating the traffic of each area according to the traffic of each base station or cell in each area; and / or, Calculating the energy consumption of each area according to the energy consumption of each base station or cell in each area; and / or, The PRB utilization rate of each area is calculated according to the PRB utilization rate of each base station or cell in each area.

4. The method according to claim 2 or 3, characterized in that: The method further comprises: Calculating the energy efficiency value of each area according to the flow rate of each area and the energy consumption of each area; and / or, According to the traffic of each area and the number of base stations in each area, the average single-station traffic of each area is calculated.

5. The method according to claim 4, characterized in that The step of fitting an energy efficiency baseline according to energy efficiency data of multiple regions includes: Fitting an energy efficiency baseline according to the average single-station flow of each of the multiple regions and the energy efficiency value of each region; or, An energy efficiency baseline is fitted according to the PRB utilization rate of each area of ​​the multiple areas and the energy efficiency value of each area.

6. The method according to claim 5, characterized in that The determining the energy efficiency pros and cons of the plurality of regions according to the energy efficiency baseline comprises: Determine the energy efficiency baseline value of each area according to the energy efficiency baseline, and determine the energy efficiency deviation value between the energy efficiency value of each area and the energy efficiency baseline value; The energy efficiency advantages and disadvantages of the multiple areas are determined according to the energy efficiency deviation values ​​of the areas.

7. The method according to claim 2, characterized in that: The method further comprises: The energy efficiency value of each base station is calculated according to the traffic of each base station and the energy consumption of each base station.

8. The method according to claim 7, characterized in that The method further comprises: The base stations in the multiple areas are divided according to base station characteristics to obtain multiple groups of base stations, and the base station characteristics include at least one of the following: base station type, base station frequency band, base station channel number, and base station PRB utilization level.

9. The method according to claim 8, characterized in that The step of fitting an energy efficiency baseline according to energy efficiency data of multiple regions includes: For each group of base stations in the plurality of groups of base stations, fitting the energy efficiency baseline corresponding to the group of base stations according to the single-station traffic and energy efficiency value of each base station in the group of base stations; or, For each group of base stations in the plurality of groups of base stations, an energy efficiency baseline corresponding to the group of base stations is fitted according to the average single-station flow and energy efficiency value of each area in the group of base stations; or, For each group of base stations in the multiple groups of base stations, fitting the energy efficiency baseline corresponding to the group of base stations according to the PRB utilization rate and energy efficiency value of each base station in the group of base stations; or, For each group of base stations in the multiple groups of base stations, an energy efficiency baseline corresponding to the group of base stations is fitted according to the PRB utilization rate and energy efficiency value of each area in the group of base stations.

10. The method according to claim 9, characterized in that The determining the energy efficiency pros and cons of the plurality of regions according to the energy efficiency baseline comprises: For each group of base stations in the multiple groups of base stations, the energy efficiency baseline value of each base station or each area in the group of base stations is determined according to the energy efficiency baseline corresponding to the base station characteristics of the group of base stations, and the energy efficiency deviation value between the energy efficiency value of each base station or each area in the group of base stations and the energy efficiency baseline value is determined; based on the energy efficiency deviation value between the energy efficiency value of each base station or each area in the group of base stations and the energy efficiency baseline value, the base stations or areas in the group of base stations that have energy efficiency problems are determined.

11. The method according to claim 10, characterized in that The determining the energy efficiency of the plurality of regions according to the energy efficiency baseline further includes: The proportion of base stations with energy efficiency problems in each of the multiple regions to the total number of base stations in the region is counted, and the energy efficiency of the multiple regions is determined according to the proportion.

12. The method according to claim 5 or 10, characterized in that: The energy efficiency deviation value is determined based on the following formula: energy efficiency deviation value = (energy efficiency value - energy efficiency baseline value) / energy efficiency baseline value, or energy efficiency deviation value = (energy efficiency baseline value - energy efficiency value) / energy efficiency baseline value.

13. An energy efficiency evaluation device, characterized in that: The device comprises: A fitting unit, used for fitting an energy efficiency baseline according to energy efficiency data of multiple regions, wherein the energy efficiency baseline is a curve of energy efficiency changing with single station traffic and / or PRB utilization; An evaluation unit is used to determine the energy efficiency of the multiple areas according to the energy efficiency baseline.

14. A processing device, characterized in that: include: A processor and a memory, the memory being used to store a computer program, the processor being used to call and run the computer program stored in the memory to execute the method according to any one of claims 1 to 12.

15. A computer-readable storage medium, characterized in that: Used to store a computer program, the computer program causing a computer to execute the method according to any one of claims 1 to 12.

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