Network frequency reduction method, device, equipment, medium and program product

Abstract

The invention provides a network frequency reduction method and device, equipment, a medium and a program product. The method comprises the following steps: firstly, determining the number of target base stations according to cost data for operation and maintenance of the base stations; then, according to the average distance between the base stations and the number of the target base stations, rasterizing the preset area to generate a plurality of grids; then, on the basis of each grid, according to the number of PRBs used in the downlink of each cell in the first network, the number of available PRBs in the downlink and the number of PRBs used in the downlink of each cell in the second network, the utilization rate of the PRBs in the downlink of the first network and the utilization rate of the PRBs in the downlink of each cell in the first network are determined; and finally, when the downlink PRB utilization rate of the first network and the downlink PRB utilization rate of each cell in the first network meet a preset network frequency reduction condition, performing frequency reduction processing on the second network in the grid. According to the method provided by the invention, the frequency reduction efficiency is improved, and the network cost of an operator is reduced.

Description

Technical Field

[0001] The present application relates to the field of communication technology, and in particular to a network frequency reduction method, device, equipment, medium and program product. Background Art

[0002] With the gradual popularization of 5G and user migration, the user load of 4G networks has gradually decreased in some areas, and the utilization rate of some frequency bands has also decreased. This has enabled China Telecom's 4G network to have a large amount of spectrum resources that can be replanned. In response to this phenomenon, a network-connected frequency reduction strategy is adopted on the basis of a multi-frequency network, and one network is gradually retired, so as to upgrade and evolve to 5G. This can reduce network costs and help operators better manage these network resources, avoid waste, and improve network operation efficiency.

[0003] In the prior art, the method for network frequency reduction is usually to divide the communication network area into multiple grids, divide each grid into levels according to multiple preset rules, and then set corresponding frequency reduction rules for grids of different levels. If the communication network status of the grid meets the frequency reduction rule corresponding to the grid, the frequency reduction operation is performed.

[0004] However, the network frequency reduction method in the prior art increases the complexity of management and implementation, and the operation and maintenance costs also increase accordingly, making it difficult to use in actual promotion. Summary of the invention

[0005] The present application provides a network frequency reduction method, device, equipment, medium and program product to solve the technical problems in the prior art that the workload of operation and maintenance increases and it is difficult to promote and use in practice.

[0006] In a first aspect, the present application provides a network frequency reduction method, comprising:

[0007] Determine the number of target base stations according to the cost data of base station operation and maintenance; wherein the benefits generated by reducing the network frequency of the target number of base stations is greater than the preset benefits;

[0008] According to the average distance between base stations and the number of target base stations, a preset area is gridded to generate a plurality of grids; wherein each grid includes a plurality of base stations, and the plurality of base stations constitute a first network and a second network;

[0009] Based on each grid, according to the number of PRBs used in the downlink of each cell in the first network, the number of available downlink PRBs, and the number of PRBs used in the downlink of the second network, a downlink PRB utilization rate of the first network and a downlink PRB utilization rate of each cell in the first network are determined;

[0010] When the downlink PRB utilization rate of the first network and the downlink PRB utilization rate of each cell in the first network meet the preset network frequency reduction condition, the second network in the grid is subjected to frequency reduction processing.

[0011] Optionally, determining the downlink PRB utilization of the first network and the downlink PRB utilization of each cell in the first network according to the number of PRBs used in the downlink of each cell in the first network, the number of available downlink PRBs, and the number of PRBs used in the downlink of the second network, includes:

[0012] Based on each grid, when the historical downlink traffic of the first network and the second network is greater than the preset traffic, determining the number of PRBs used in the downlink of each cell in the first network, the number of PRBs available in the downlink, and the number of PRBs used in the downlink of the second network according to the historical base station log data of the multiple base stations;

[0013] Determine the downlink PRB utilization of the first network and the downlink PRB utilization of each cell in the first network according to the number of downlink PRBs used by each cell in the first network, the number of downlink available PRBs, and the number of downlink PRBs used in the second network.

[0014] Optionally, determining the downlink PRB utilization of the first network and the downlink PRB utilization of each cell in the first network according to the number of PRBs used in the downlink of each cell in the first network, the number of available downlink PRBs, and the number of PRBs used in the downlink of the second network, includes:

[0015] For each cell, calculating a first sum of the number of PRBs used by the cell in the downlink of the first network and the number of PRBs used by the cell in the downlink of the second network;

[0016] Determine the ratio between the first sum and the number of available downlink PRBs of the cell in the first network as a downlink PRB utilization rate of the cell in the first network;

[0017] The second sum of the number of PRBs used by all cells in the downlink of the first network is added to the third sum of the number of PRBs used by all cells in the downlink of the second network to obtain the total number of PRBs used in the downlink;

[0018] Calculating the total number of available PRBs for downlink of all cells in the first network;

[0019] The ratio between the total number of downlink used PRBs and the total number of downlink available PRBs is determined as the downlink PRB utilization rate of the first network.

[0020] Optionally, when the downlink PRB utilization rate of the first network and the downlink PRB utilization rate of each cell in the first network meet the preset network frequency reduction condition, performing frequency reduction processing on the second network in the grid includes:

[0021] Determine a cell whose downlink PRB utilization rate in the first network is higher than a first preset PRB utilization rate as a high-load cell;

[0022] If the proportion of high-load cells to total cells is greater than a preset proportion, and the downlink PRB utilization of the first network is less than a second preset PRB utilization, frequency reduction processing is performed on the second network in the grid.

[0023] Optionally, the method further comprises:

[0024] Performing network load monitoring on the target grid after the frequency reduction process within a preset time period to obtain network load data of the first network;

[0025] If the network load data indicates that the network load increment of the first network exceeds a preset network load increment, a rollback process is performed on the target grid to re-add the second network to the target grid.

[0026] Optionally, the performing grid processing on the preset area according to the average distance between base stations and the number of target base stations to generate multiple grids includes:

[0027] Taking the base station as the center of the circle and the average distance as the diameter, calculate the area corresponding to each base station;

[0028] Determining a grid length according to an area corresponding to the base station and the number of target base stations;

[0029] The preset area is rasterized according to the grid length to generate the multiple grids.

[0030] In a second aspect, the present application provides a network frequency reduction device, comprising:

[0031] A first determination module is used to determine the number of target base stations according to cost data for operating and maintaining the base stations; wherein the benefits generated by reducing the network frequency of the target number of base stations is greater than the preset benefits;

[0032] A generating module, configured to perform grid processing on a preset area according to an average distance between base stations and the number of target base stations to generate a plurality of grids; wherein each grid includes a plurality of base stations, and the plurality of base stations constitute a first network and a second network;

[0033] A second determination module is used to determine, based on each grid, a downlink PRB utilization rate of the first network and a downlink PRB utilization rate of each cell in the first network according to the number of downlink PRBs used by each cell in the first network, the number of downlink available PRBs, and the number of downlink PRBs used in the second network;

[0034] The frequency reduction module is used to perform frequency reduction processing on the second network in the grid when the downlink PRB utilization rate of the first network and the downlink PRB utilization rate of each cell in the first network meet the preset network frequency reduction condition.

[0035] Optionally, the second determining module is specifically configured to:

[0036] Based on each grid, when the historical downlink traffic of the first network and the second network is greater than the preset traffic, determining the number of PRBs used in the downlink of each cell in the first network, the number of PRBs available in the downlink, and the number of PRBs used in the downlink of the second network according to the historical base station log data of the multiple base stations;

[0037] Determine the downlink PRB utilization of the first network and the downlink PRB utilization of each cell in the first network according to the number of downlink PRBs used by each cell in the first network, the number of downlink available PRBs, and the number of downlink PRBs used in the second network.

[0038] Optionally, the second determining module is specifically configured to:

[0039] For each cell, calculating a first sum of the number of PRBs used by the cell in the downlink of the first network and the number of PRBs used by the cell in the downlink of the second network;

[0040] Determine the ratio between the first sum and the number of available downlink PRBs of the cell in the first network as a downlink PRB utilization rate of the cell in the first network;

[0041] The second sum of the number of PRBs used by all cells in the downlink of the first network is added to the third sum of the number of PRBs used by all cells in the downlink of the second network to obtain the total number of PRBs used in the downlink;

[0042] Calculating the total number of available PRBs for downlink of all cells in the first network;

[0043] The ratio between the total number of downlink used PRBs and the total number of downlink available PRBs is determined as the downlink PRB utilization rate of the first network.

[0044] Optionally, the frequency reduction module is specifically used to:

[0045] Determine a cell whose downlink PRB utilization rate in the first network is higher than a first preset PRB utilization rate as a high-load cell;

[0046] If the proportion of high-load cells to total cells is greater than a preset proportion, and the downlink PRB utilization of the first network is less than a second preset PRB utilization, frequency reduction processing is performed on the second network in the grid.

[0047] Optionally, the network frequency reduction device further includes a processing module, configured to:

[0048] Performing network load monitoring on the target grid after the frequency reduction process within a preset time period to obtain network load data of the first network;

[0049] If the network load data indicates that the network load increment of the first network exceeds a preset network load increment, a rollback process is performed on the target grid to re-add the second network to the target grid.

[0050] Optionally, the generating module is specifically used to:

[0051] Taking the base station as the center of the circle and the average distance as the diameter, calculate the area corresponding to each base station;

[0052] Determining a grid length according to an area corresponding to the base station and the number of target base stations;

[0053] The preset area is rasterized according to the grid length to generate the multiple grids.

[0054] In a third aspect, the present application provides an electronic device, comprising: a processor, and a memory communicatively connected to the processor;

[0055] Memory stores computer-executable instructions;

[0056] The processor executes the computer-executable instructions stored in the memory to implement the network frequency reduction method as described in the first aspect and various possible implementations of the first aspect.

[0057] In a fourth aspect, the present application provides a computer-readable storage medium, comprising computer-executable instructions. When a processor executes the computer-executable instructions, the network frequency reduction method as described in the first aspect and various possible implementations of the first aspect is performed.

[0058] In a fifth aspect, the present application provides a program product, which includes a computer program, and the computer program is executed by a processor to implement the network frequency reduction method as described in the first aspect and various possible implementation methods of the first aspect.

[0059] The network frequency reduction method, device, equipment, medium and program product provided by the present application first determine the target number of base stations based on the cost data of base station operation and maintenance, and ensure that these benefits exceed the preset benefits; then, in order to simplify the operation and maintenance management process, the target number of base stations are uniformly subjected to frequency reduction processing, and the preset area is gridded according to the average distance between the base stations and the target number of base stations, that is, divided into several smaller grids, each grid containing multiple base stations, and the first network and the second network are divided in the grid to form a local network group; then, for each grid, the downlink physical resource block (PRB) utilization rate of the first network and the downlink PRB utilization rate of each cell in the first network are calculated to determine whether the network service quality of the first network will be negatively affected after the frequency reduction operation, that is, whether the load of the first network is overloaded; finally, the second network is subjected to frequency reduction processing only when the load of the first network is within the preset range. Through this method, while ensuring that the frequency reduction operation brings benefits to the operator, unnecessary network resource allocation is reduced, the overall utilization rate of network resources is improved, and it is convenient to promote and use in different regions. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0061] Figure 1 Schematic diagram of the process of network frequency reduction method provided in the embodiment of the present application Figure 1 ;

[0062] Figure 2 A grid diagram of a network frequency reduction method provided in an embodiment of the present application;

[0063] Figure 3 Schematic diagram of the process of network frequency reduction method provided in the embodiment of the present application Figure 2 ;

[0064] Figure 4 Schematic diagram of the process of network frequency reduction method provided in the embodiment of the present application Figure 3 ;

[0065] Figure 5 A schematic diagram of the structure of a network frequency reduction device provided in an embodiment of the present application;

[0066] Figure 6 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application.

[0067] The above drawings have shown clear embodiments of the present application, which will be described in more detail later. These drawings and text descriptions are not intended to limit the scope of the present application in any way, but to illustrate the concept of the present application to those skilled in the art by referring to specific embodiments. DETAILED DESCRIPTION

[0068] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with the present application. Instead, they are merely examples of devices and methods consistent with some aspects of the present application as detailed in the appended claims.

[0069] With the gradual popularization of 5G and user migration, the user load of 4G networks has gradually decreased in some areas, and the utilization rate of some frequency bands has also decreased. This has left China Telecom with a large amount of spectrum resources for re-planning in its 4G network. In response to this phenomenon, a network-connected frequency reduction strategy has been adopted on the basis of a multi-frequency network, gradually withdrawing one network and upgrading to 5G, which can reduce network costs and help operators better manage these spectrum resources, avoid waste, and improve network operation efficiency.

[0070] In the prior art, the method for network frequency reduction is usually to divide the communication network area into multiple grids, divide each grid into levels according to multiple preset rules, and then set corresponding frequency reduction rules for grids of different levels. If the communication network status of the grid meets the frequency reduction rule corresponding to the grid, the frequency reduction operation is performed.

[0071] However, the network frequency reduction method in the prior art only considers the technical issues of network frequency reduction and ignores whether network frequency reduction can bring benefits to network operators. Although the network frequency reduction task can be completed, it may lead to an increase in the investment cost of operators, and therefore it is difficult to use in actual promotion.

[0072] Based on this, the present application proposes a network frequency reduction method, device, equipment, medium and program product. In network frequency reduction, the operation and maintenance of the base station to be reduced in frequency requires a certain amount of labor costs, which leads to increased costs for operators and stagnation of frequency reduction work. However, if the base station can be reduced in frequency while ensuring profits, then the frequency reduction work can be implemented smoothly. Therefore, firstly, according to the cost data of base station operation and maintenance, the target number of base stations that can generate revenue through frequency reduction operation is determined, and it is ensured that these revenues exceed the preset revenues; then, in order to simplify the operation and maintenance management process, the target number of base stations is uniformly subjected to frequency reduction processing judgment, and according to the average distance between base stations and the target number of base stations, the preset area is gridded, that is, divided into several smaller grids, each grid contains multiple base stations, and the first network and the second network are divided in the grid to form a local network group; then, for each grid, the downlink PRB utilization rate of the first network and the downlink PRB utilization rate of each cell in the first network are calculated to determine whether the network service quality of the first network will be negatively affected after the frequency reduction operation, that is, whether the load of the first network is overloaded; finally, only when the load of the first network is within the preset range, the frequency reduction processing is performed on the second network. Through this method, while ensuring that the frequency reduction operation brings revenue to the operator, it reduces unnecessary network resource allocation, realizes the reasonable allocation of network resources, avoids overload of individual base stations, improves the resource utilization efficiency in the entire area, guarantees the user's network experience, and facilitates promotion and use in different areas.

[0073] The technical solution of the present application and how the technical solution of the present application solves the above-mentioned technical problems are described in detail below with specific embodiments. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. The embodiments of the present application will be described below in conjunction with the accompanying drawings.

[0074] Figure 1 Schematic diagram of the process of network frequency reduction method provided in the embodiment of the present application Figure 1 .like Figure 1 As shown, the method includes:

[0075] S101. Determine the target number of base stations according to cost data for operating and maintaining the base stations.

[0076] Among them, the benefits generated by reducing the network frequency of the target number of base stations are greater than the preset benefits.

[0077] It should be noted that the operation and maintenance work required after frequency reduction of base stations is mainly interoperability relationship configuration and network performance testing. The frequency reduction operation and maintenance costs incurred are mainly labor costs, and the labor costs include the basic cost of one operation and maintenance of the base station and the additional operation and maintenance costs of adding one base station.

[0078] Correspondingly, each base station will generate certain frequency reduction cost benefits after frequency reduction due to the reduction of power consumption and base station tower rental fees. If the frequency reduction cost benefits are greater than the frequency reduction operation and maintenance costs, it means that the frequency reduction of these base stations can be further considered. If the frequency reduction cost benefits are less than or equal to the frequency reduction operation and maintenance costs, it means that there is no need to reduce the frequency of these base stations. The specific base station frequency reduction benefit calculation formula is:

[0079]

[0080] Among them, a is the annual electricity bill generated by each base station; b is the tower rental fee for each base station; c is the additional operation and maintenance cost of adding one base station; d is the basic cost of one operation and maintenance; x is the number of base stations that need to be reduced, that is, the target number of base stations.

[0081] It is understandable that by increasing the benefits of network frequency reduction, operators have increased their confidence in network frequency reduction processing, making it easier to promote and use it in real life.

[0082] S102: Performing grid processing on a preset area according to an average distance between base stations and the number of target base stations to generate a plurality of grids.

[0083] Each grid includes multiple base stations, and the multiple base stations constitute the first network and the second network. A network refers to a network system composed of the same frequency band of multiple base stations, and a base station can usually support multiple frequency bands (such as low frequency band, medium frequency band and high frequency band), so multiple base stations can form different networks, namely the first network and the second network.

[0084] It is understandable that raster processing of the preset area is more conducive to network monitoring and network frequency reduction processing of a target number of base stations, reducing the complexity brought by global processing of the preset area.

[0085] In one achievable manner, the specific rasterization method may include:

[0086] First, with the base station as the center and the average distance as the diameter, the area corresponding to each base station is calculated; then, the grid length is determined according to the area corresponding to the base station and the number of target base stations; finally, according to the grid length, the preset area is rasterized to generate multiple grids.

[0087] It should be noted that the gridding of the preset area is to determine the area and grid length corresponding to each base station according to the average distance between base stations and the number of target base stations, so that each grid after gridding can contain the number of target base stations, and the network formed by the number of target base stations can cover the grid. The specific grid area calculation formula is:

[0088]

[0089] Among them, n 2 is the grid area; n is the grid length in meters; m is the average distance between base stations; x is the number of base stations that need to be reduced in frequency, that is, the number of target base stations.

[0090] It can be understood that by determining the area and grid length corresponding to each base station, it is convenient to accurately evaluate the network performance of multiple base stations in each grid after the frequency reduction operation, facilitate local adjustments according to specific circumstances, and reduce the complexity of operation and maintenance.

[0091] S103. Based on each grid, determine the downlink PRB utilization of the first network and the downlink PRB utilization of each cell in the first network according to the number of downlink PRBs used by each cell in the first network, the number of downlink available PRBs, and the number of downlink PRBs used by each cell in the second network.

[0092] Among them, physical resource blocks (PRBs) are usually used for load balancing between cells. The PRB utilization rate can reflect the load situation and resource utilization efficiency of the network in a specific time period. The number of downlink PRBs used by the network is the number of resource blocks required for downlink data transmission. The number of downlink available PRBs refers to the number of resource blocks that can be used for downlink data transmission.

[0093] It can be understood that by determining the downlink PRB utilization of the first network and the downlink PRB utilization of each cell in the first network, a judgment basis can be provided for subsequent frequency reduction processing to ensure that frequency reduction will not have a negative impact on network service quality.

[0094] S104: When the downlink PRB utilization rate of the first network and the downlink PRB utilization rate of each cell in the first network meet a preset network frequency reduction condition, perform frequency reduction processing on the second network in the grid.

[0095] It is understandable that this method reduces underutilized network resources, improves network resource utilization, and reduces base station operation and maintenance costs. And by setting a certain monitoring cycle, the stability of the network service quality after frequency reduction is guaranteed.

[0096] The embodiment of the present application provides a network frequency reduction method. First, according to the cost data of the operation and maintenance of the base station, it is determined that the target number of base stations can generate income through the frequency reduction operation, and it is ensured that these incomes exceed the preset income. Then, in order to simplify the operation and maintenance management process, the target number of base stations are uniformly subjected to frequency reduction processing. According to the average distance between the base stations and the target number of base stations, the preset area is gridded, that is, divided into a number of smaller grids, each grid contains a plurality of base stations, and the first network and the second network are divided in the grid to form a local network group. Then, for each grid, the downlink PRB utilization rate of the first network and the downlink PRB utilization rate of each cell in the first network are calculated to determine whether the network service quality of the first network will be negatively affected after the frequency reduction operation, that is, whether the load of the first network is overloaded. Finally, only when the load of the first network is within the preset range, the second network is subjected to frequency reduction processing. Through this method, while ensuring that the frequency reduction operation brings income to the operator, unnecessary network resource allocation is reduced, the overall utilization rate of network resources is improved, and it is convenient to promote and use in different regions.

[0097] It should be noted that after the frequency reduction processing is performed on the second network in the grid, in order to prevent a surge in network load in the grid after the frequency reduction, resulting in an overload of the PRB utilization of the first network, it is also necessary to monitor the network load data of the first network in the grid. The specific method includes:

[0098] First, the network load of the target grid after the frequency reduction processing is monitored within a preset time period to obtain the network load data of the first network; then, if the network load data indicates that the network load increment of the first network exceeds the preset network load increment, the target grid is rolled back to re-add the second network to the target grid.

[0099] It is understandable that after the frequency reduction processing is performed on the second network in the grid, in order to ensure the overall health of the network and user experience, it is also necessary to comprehensively monitor the grid cell of the entire first network. The monitoring period (i.e., the preset duration) is usually 1 month, and can also be adjusted according to actual conditions. If during the monitoring period, the network model changes, and the resource load of the first network surges, that is, the network load increment of the first network exceeds the preset network load increment, the network configuration is rolled back, and the first network and the second network need to be re-analyzed; if during the monitoring period, the network model has not changed, and the downlink PRB utilization of the first network remains normal, it means that the frequency reduction is successful.

[0100] Figure 2 A grid diagram of a network frequency reduction method provided in an embodiment of the present application; Figure 2 As shown, this embodiment is Figure 1Based on the embodiment, the generation of the grid is illustrated by example:

[0101] Assume that the target number of base stations is 3 according to the base station frequency reduction benefit calculation formula in S101, that is, Figure 2 The base stations A, B and C in the network are arranged in a circle with the base station as the center and the average distance m as 6 meters as the diameter. The area corresponding to each base station, that is, the grid range that can be covered by the network formed by the target number of base stations is: 27π meters²; on this basis, the corresponding grid length n can be approximately obtained as 9.2 meters.

[0102] Figure 3 Schematic diagram of the process of network frequency reduction method provided in the embodiment of the present application Figure 2 .like Figure 3 As shown, this embodiment is Figure 1 Based on the embodiment, a process of determining the downlink PRB utilization of the first network and the downlink PRB utilization of each cell in the first network is described in detail, specifically including the following steps:

[0103] S301. Based on each grid, when the historical downlink traffic of the first network and the second network is greater than the preset traffic, determine the number of PRBs used in the downlink of each cell in the first network, the number of PRBs available in the downlink, and the number of PRBs used in the downlink of the second network according to the historical base station log data of multiple base stations.

[0104] The preset flow rate is the flow rate corresponding to when the downlink flows of the first network and the second network are relatively high.

[0105] It is understandable that since reducing the frequency of the second network will transfer part of the load to the first network, this method can be used to determine whether the first network has sufficient network resource margin to maintain normal network services when the second network is reduced in frequency under the scenario with the greatest demand for network resources. This provides an accurate judgment basis for subsequent frequency reduction processing, reduces the possibility of subsequent network rollback operations on the second network, and reduces operation and maintenance costs.

[0106] S302: Determine the downlink PRB utilization of the first network and the downlink PRB utilization of each cell in the first network according to the number of downlink PRBs used by each cell in the first network, the number of downlink available PRBs, and the number of downlink PRBs used by each cell in the second network.

[0107] In an achievable manner, the specific steps of determining the downlink PRB utilization of the first network and the downlink PRB utilization of each cell in the first network according to the number of PRBs used in the downlink of each cell in the first network, the number of available downlink PRBs, and the number of PRBs used in the downlink of the second network include:

[0108] First, for each cell, a first sum of the number of PRBs used by the cell in the downlink of the first network and the number of PRBs used by the cell in the downlink of the second network is calculated; then, the ratio between the first sum and the number of PRBs available in the downlink of the cell in the first network is determined as the downlink PRB utilization rate of the cell in the first network; then, the second sum of the number of PRBs used by all cells in the downlink of the first network is added to the third sum of the number of PRBs used by all cells in the downlink of the second network to obtain the total number of PRBs used in the downlink; then, the total number of PRBs available in the downlink of all cells in the first network is calculated; finally, the ratio between the total number of PRBs used in the downlink and the total number of PRBs available in the downlink is determined as the downlink PRB utilization rate of the first network.

[0109] In one achievable manner, a specific calculation formula for the downlink PRB utilization rate of a cell in the first network can be expressed as:

[0110]

[0111] It should be noted that in order to avoid the problem of decreased data transmission rate due to increased load on the first network, thereby affecting user experience, the calculated downlink PRB utilization of the cell in the first network should be less than a certain preset value, such as 90%. The specific value is selected based on actual conditions, and this embodiment does not make any specific restrictions here.

[0112] Furthermore, the specific calculation formula of the downlink PRB utilization of the first network can be expressed as:

[0113]

[0114] Similarly, the calculated downlink PRB utilization of the first network should be less than a certain preset value.

[0115] In one achievable manner, after determining the downlink PRB utilization of the first network and the downlink PRB utilization of each cell in the first network, the specific steps of performing frequency reduction processing on the second network in the grid are:

[0116] First, the cells in the first network whose downlink PRB utilization is higher than the first preset PRB utilization are determined as high-load cells; if the proportion of high-load cells in the total cells is greater than the preset proportion, and the downlink PRB utilization of the first network is less than the second preset PRB utilization, the second network in the grid is frequency reduced.

[0117] It should be noted that the calculation formula for the proportion of high-load cells to total cells can be:

[0118]

[0119] If the proportion of high-load cells is high, it means that a large proportion of cells in the network grid are bearing a large traffic load, and the number of downlink PRBs used by the first network is unevenly distributed. Therefore, the network resource allocation in the grid is optimized first without frequency reduction. Correspondingly, if the proportion of high-load cells is low, it means that the first network can fully bear the traffic load after frequency reduction, and frequency reduction can be performed.

[0120] It can be understood that by first determining the size of the downlink PRB utilization of the first network, that is, evaluating whether the first network is in a high-load state as a whole, and then obtaining the proportion of high-load cells, that is, evaluating whether the first network has uneven network load locally. If the downlink PRB utilization of the first network is not high, and the proportion of high-load cells is not large, it means that the impact of frequency reduction on most cells is small, and frequency reduction processing is feasible; if the proportion of high-load cells is large, frequency reduction may have a negative impact on service quality. This method can provide accurate judgment basis for network frequency reduction, load balancing, network optimization and other operations, thereby improving network resource utilization, reducing operating costs, and optimizing users' network experience.

[0121] Figure 4 Schematic diagram of the process of network frequency reduction method provided in the embodiment of the present application Figure 3 .like Figure 4 As shown, the method includes:

[0122] S401. Calculate network frequency reduction benefits for a target number of base stations.

[0123] S402: Determine whether the network frequency reduction benefit is greater than the preset benefit. If so, execute S403; if not, execute S407.

[0124] S403: Perform grid processing on the preset area according to the average distance between base stations and the number of target base stations to generate multiple grids.

[0125] S404. Based on each grid, determine the downlink PRB utilization of the first network and the downlink PRB utilization of each cell in the first network according to the number of downlink PRBs used by each cell in the first network, the number of downlink available PRBs, and the number of downlink PRBs used by each cell in the second network.

[0126] S405: Determine whether the grid meets the preset network frequency reduction condition, if yes, execute S406, if no, execute S407.

[0127] S406: Perform frequency reduction processing on the second network in the grid.

[0128] S407: Do not perform frequency reduction processing on the second network in the grid.

[0129] It should be noted that the specific implementation process is illustrated by way of example in the above embodiments, and the embodiments of the present application will not be elaborated in detail here.

[0130] Figure 5 A schematic diagram of the structure of a network frequency reduction device provided in an embodiment of the present application;

[0131] The first determination module 501 is used to determine the number of target base stations according to the cost data of operating and maintaining the base stations; wherein the benefits generated by reducing the network frequency of the target number of base stations is greater than the preset benefits;

[0132] A generating module 502 is used to perform grid processing on a preset area according to an average distance between base stations and the number of target base stations to generate a plurality of grids; wherein each grid includes a plurality of base stations, and the plurality of base stations constitute a first network and a second network;

[0133] The second determination module 503 is used to determine the downlink PRB utilization of the first network and the downlink PRB utilization of each cell in the first network based on each grid according to the number of downlink PRBs used by each cell in the first network, the number of downlink available PRBs, and the number of downlink PRBs used by each cell in the second network;

[0134] The frequency reduction module 504 is used to perform frequency reduction processing on the second network in the grid when the downlink PRB utilization rate of the first network and the downlink PRB utilization rate of each cell in the first network meet the preset network frequency reduction condition.

[0135] Optionally, the second determining module 503 is specifically configured to:

[0136] Based on each grid, when the historical downlink traffic of the first network and the second network is greater than the preset traffic, the number of PRBs used in the downlink of each cell in the first network, the number of PRBs available in the downlink, and the number of PRBs used in the downlink of the second network are determined according to the historical base station log data of multiple base stations;

[0137] According to the number of PRBs used in the downlink of each cell in the first network, the number of available downlink PRBs, and the number of PRBs used in the downlink of the second network, the downlink PRB utilization of the first network and the downlink PRB utilization of each cell in the first network are determined.

[0138] Optionally, the second determining module 503 is specifically configured to:

[0139] For each cell, calculating a first sum of the number of PRBs used by the cell in the downlink of the first network and the number of PRBs used by the cell in the downlink of the second network;

[0140] Determine the ratio between the first sum and the number of available PRBs for a downlink of the cell in the first network as a downlink PRB utilization rate of the cell in the first network;

[0141] The second sum of the number of PRBs used by all cells in the downlink of the first network is added to the third sum of the number of PRBs used by all cells in the downlink of the second network to obtain the total number of PRBs used in the downlink;

[0142] Calculate the total number of PRBs available in the downlink of all cells in the first network;

[0143] The ratio between the total number of downlink used PRBs and the total number of downlink available PRBs is determined as the downlink PRB utilization rate of the first network.

[0144] Optionally, the frequency reduction module 504 is specifically configured to:

[0145] Determine a cell whose downlink PRB utilization rate in the first network is higher than a first preset PRB utilization rate as a high-load cell;

[0146] If the proportion of high-load cells to total cells is greater than a preset proportion, and the downlink PRB utilization of the first network is less than a second preset PRB utilization, frequency reduction processing is performed on the second network in the grid.

[0147] Optionally, the network frequency reduction device further includes a processing module 505, which is used to:

[0148] Performing network load monitoring on the target grid after the frequency reduction process within a preset time period to obtain network load data of the first network;

[0149] If the network load data indicates that the network load increment of the first network exceeds the preset network load increment, a rollback process is performed on the target grid to re-add the second network to the target grid.

[0150] Optionally, the generating module 502 is specifically configured to:

[0151] With the base station as the center and the average distance as the diameter, calculate the area corresponding to each base station;

[0152] Determine the grid length according to the area corresponding to the base station and the number of target base stations;

[0153] According to the grid length, the preset area is rasterized to generate multiple grids.

[0154] Figure 6 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. Figure 6As shown, the electronic device 60 provided in the embodiment of the present application includes: at least one processor 601 and a memory 602. The electronic device 60 also includes a communication component 603. The processor 601, the memory 602 and the communication component 603 are connected via a bus 604.

[0155] In a specific implementation process, at least one processor 601 executes the computer execution instructions stored in the memory 602, so that at least one processor 601 executes the above-mentioned network frequency reduction method.

[0156] The specific implementation process of the processor 601 can be found in the above-mentioned method embodiment, and its implementation principle and technical effect are similar, so the embodiments of the present application will not be repeated here.

[0157] The electronic device provided in the embodiment of the present application can be implemented as Figure 1 The electronic device is used to execute the network frequency reduction method provided by any of the above method embodiments, and its implementation principle and technical effect are similar, which will not be repeated here.

[0158] In the above Figure 5 In the illustrated embodiment, it should be understood that the processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), etc. A general-purpose processor may be a microprocessor or any conventional processor. The steps of the method disclosed in the present application may be directly implemented as being executed by a hardware processor, or may be executed by a combination of hardware and software modules in the processor.

[0159] The memory may include a high-speed memory (Random Access Memory, RAM), and may also include a non-volatile memory (NVM), such as at least one disk storage.

[0160] The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, the bus in the drawings of this application is not limited to only one bus or one type of bus.

[0161] The present application also provides a computer program product, including a computer program, which implements the above-mentioned network frequency reduction method when executed by a processor.

[0162] The present application also provides a computer-readable storage medium, in which computer-executable instructions are stored. When a processor executes the computer-executable instructions, the above-mentioned network frequency reduction method is implemented.

[0163] The above-mentioned readable storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk. The readable storage medium can be any available medium that can be accessed by a general or special-purpose computer.

[0164] An exemplary readable storage medium is coupled to a processor so that the processor can read information from the readable storage medium and write information to the readable storage medium. Of course, the readable storage medium can also be a component of the processor. The processor and the readable storage medium can be located in an application specific integrated circuit (Application Specific Integrated Circuits, referred to as: ASIC). Of course, the processor and the readable storage medium can also exist in the device as discrete components.

[0165] The division of units is only a logical function division, and there may be other divisions 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 an indirect coupling or communication connection through some interface, device or unit, which can be electrical, mechanical or other forms.

[0166] 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 embodiments of the present application.

[0167] 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.

[0168] If the function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application can essentially or in other words, the part that contributes to the prior art or the part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium, including a number of instructions to enable a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0169] It should be noted that, for the aforementioned method embodiments, for the sake of simplicity, they are all expressed as a series of action combinations, but those skilled in the art should be aware that the present application is not limited by the described order of actions, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all optional embodiments, and the actions and modules involved are not necessarily required by the present application.

[0170] It should be further noted that, although the various steps in the flowchart are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless there is a clear description in this article, the execution of these steps is not strictly limited in order, and these steps can be executed in other orders. Moreover, at least a portion of the steps in the flowchart may include multiple sub-steps or multiple stages, and these sub-steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these sub-steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a portion of the sub-steps or stages of other steps.

[0171] It should be understood that the above-mentioned device embodiments are only illustrative, and the device of the present application can also be implemented in other ways. For example, the division of units / modules in the above-mentioned embodiments is only a logical function division, and there may be other division methods in actual implementation. For example, multiple units, modules or components can be combined, or can be integrated into another system, or some features can be ignored or not executed.

[0172] In addition, unless otherwise specified, each functional unit / module in each embodiment of the present application may be integrated into one unit / module, each unit / module may exist physically separately, or two or more units / modules may be integrated together. The above-mentioned integrated unit / module may be implemented in the form of hardware or in the form of a software program module.

[0173] If the integrated unit / module is implemented in the form of hardware, the hardware may be a digital circuit, an analog circuit, etc. The physical implementation of the hardware structure includes but is not limited to transistors, memristors, etc. Unless otherwise specified, the processor may be any appropriate hardware processor, such as a CPU, a GPU, an FPGA, a DSP, an ASIC, etc. Unless otherwise specified, the storage unit may be any appropriate magnetic storage medium or magneto-optical storage medium, such as a resistive random access memory (RRAM), a dynamic random access memory (DRAM), a static random access memory (SRAM), an enhanced dynamic random access memory (EDRAM), a high-bandwidth memory (HBM), a hybrid memory cube (HMC), etc.

[0174] If the integrated unit / module is implemented in the form of a software program module and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a memory, including a number of instructions to enable a computer device (which can be a personal computer, server or network device, etc.) to execute all or part of the steps of the various embodiments of the present application. The aforementioned memory includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, disk or optical disk and other media that can store program codes.

[0175] In the above embodiments, the description of each embodiment has its own emphasis. For parts not described in detail in a certain embodiment, please refer to the relevant description of other embodiments. The technical features of the above embodiments can be combined arbitrarily. In order to make the description concise, all possible combinations of the technical features in the above embodiments are not described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0176] Those skilled in the art will readily appreciate other embodiments of the present application after considering the specification and practicing the invention disclosed herein. The present application is intended to cover any modification, use or adaptation of the present application, which follows the general principles of the present application and includes common knowledge or customary techniques in the art that are not disclosed in the present application. The specification and examples are intended to be exemplary only, and the true scope and spirit of the present application are indicated by the following claims.

[0177] It should be understood that the present application is not limited to the precise structures that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present application is limited only by the appended claims.

Claims

1. A network frequency reduction method, characterized in that: include: Determine the number of target base stations according to the cost data of base station operation and maintenance; wherein the benefits generated by reducing the network frequency of the target number of base stations is greater than the preset benefits; According to the average distance between base stations and the number of target base stations, a preset area is gridded to generate a plurality of grids; wherein each grid includes a plurality of base stations, and the plurality of base stations constitute a first network and a second network; Based on each grid, according to the number of physical resource blocks (PRBs) used by each cell in the downlink of the first network, the number of available PRBs in the downlink, and the number of PRBs used in the downlink of the second network, a downlink PRB utilization rate of the first network and a downlink PRB utilization rate of each cell in the first network are determined; When the downlink PRB utilization rate of the first network and the downlink PRB utilization rate of each cell in the first network meet the preset network frequency reduction condition, the second network in the grid is subjected to frequency reduction processing.

2. The method according to claim 1, characterized in that: The determining, according to the number of PRBs used in the downlink of each cell in the first network, the number of available downlink PRBs, and the number of PRBs used in the downlink of the second network, the downlink PRB utilization rate of the first network and the downlink PRB utilization rate of each cell in the first network includes: Based on each grid, when the historical downlink traffic of the first network and the second network is greater than the preset traffic, determining the number of PRBs used in the downlink of each cell in the first network, the number of PRBs available in the downlink, and the number of PRBs used in the downlink of the second network according to the historical base station log data of the multiple base stations; Determine the downlink PRB utilization of the first network and the downlink PRB utilization of each cell in the first network according to the number of downlink PRBs used by each cell in the first network, the number of downlink available PRBs, and the number of downlink PRBs used in the second network.

3. The method according to claim 1 or 2, characterized in that: The determining, according to the number of PRBs used in the downlink of each cell in the first network, the number of available downlink PRBs, and the number of PRBs used in the downlink of the second network, the downlink PRB utilization rate of the first network and the downlink PRB utilization rate of each cell in the first network includes: For each cell, calculating a first sum of the number of PRBs used by the cell in the downlink of the first network and the number of PRBs used by the cell in the downlink of the second network; Determine the ratio between the first sum and the number of available downlink PRBs of the cell in the first network as a downlink PRB utilization rate of the cell in the first network; The second sum of the number of PRBs used by all cells in the downlink of the first network is added to the third sum of the number of PRBs used by all cells in the downlink of the second network to obtain the total number of PRBs used in the downlink; Calculating the total number of available PRBs for downlink of all cells in the first network; The ratio between the total number of downlink used PRBs and the total number of downlink available PRBs is determined as the downlink PRB utilization rate of the first network.

4. The method according to claim 1 or 2, characterized in that: When the downlink PRB utilization rate of the first network and the downlink PRB utilization rate of each cell in the first network meet the preset network frequency reduction condition, performing frequency reduction processing on the second network in the grid includes: Determine a cell whose downlink PRB utilization rate in the first network is higher than a first preset PRB utilization rate as a high-load cell; If the proportion of high-load cells to total cells is greater than a preset proportion, and the downlink PRB utilization of the first network is less than a second preset PRB utilization, frequency reduction processing is performed on the second network in the grid.

5. The method according to claim 1 or 2, characterized in that: The method further comprises: Performing network load monitoring on the target grid after the frequency reduction process within a preset time period to obtain network load data of the first network; If the network load data indicates that the network load increment of the first network exceeds a preset network load increment, a rollback process is performed on the target grid to re-add the second network to the target grid.

6. The method according to claim 1 or 2, characterized in that: The step of performing grid processing on the preset area according to the average distance between base stations and the number of target base stations to generate multiple grids includes: Taking the base station as the center of the circle and the average distance as the diameter, calculate the area corresponding to each base station; Determining a grid length according to an area corresponding to the base station and the number of target base stations; The preset area is rasterized according to the grid length to generate the multiple grids.

7. A network frequency reduction device, characterized in that: include: A first determination module is used to determine the number of target base stations according to cost data for operating and maintaining the base stations; wherein the benefits generated by reducing the network frequency of the target number of base stations is greater than the preset benefits; A generating module, configured to perform grid processing on a preset area according to an average distance between base stations and the number of target base stations to generate a plurality of grids; wherein each grid includes a plurality of base stations, and the plurality of base stations constitute a first network and a second network; A second determination module is used to determine, based on each grid, a downlink PRB utilization rate of the first network and a downlink PRB utilization rate of each cell in the first network according to the number of downlink PRBs used by each cell in the first network, the number of downlink available PRBs, and the number of downlink PRBs used in the second network; The frequency reduction module is used to perform frequency reduction processing on the second network in the grid when the downlink PRB utilization rate of the first network and the downlink PRB utilization rate of each cell in the first network meet the preset network frequency reduction condition.

8. An electronic device, characterized in that: include: A processor, and a memory communicatively connected to the processor; The memory stores computer-executable instructions; The processor executes the computer-executable instructions stored in the memory to implement the network frequency reduction method according to any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, and when the computer-executable instructions are executed by a processor, they are used to implement the network frequency reduction method according to any one of claims 1 to 6.

10. A computer program product, characterized in that It includes a computer program, characterized in that when the computer program is executed by a processor, it is used to implement the network frequency reduction method according to any one of claims 1 to 6.

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