Shared base station flower arrangement identification method and device and readable storage medium

Abstract

The invention provides a shared base station flower arrangement identification method and apparatus, and a readable storage medium. The method comprises the steps of obtaining base station basic data; determining a sharing coefficient, a distance coefficient and an orientation coefficient of a cell according to the base station basic data; according to the sharing coefficient, the distance coefficient and the orientation coefficient of the cell, the flower arrangement degree of the cell is determined, the flower arrangement degree is used for representing the flower arrangement influence degree of the shared base station, and the flower arrangement degree is in direct proportion to the flower arrangement influence degree and the base station optimization priority. The invention provides a shared base station flower arrangement identification method, which can realize intelligent identification of the influence of same-frequency shared flower arrangement, implement differentiated switching threshold configuration based on different priorities, ensure user residence and network occupation under the influence of different flower arrangement degrees, and fully ensure the service experience and perception of users in a flower arrangement shared cell.

Description

Technical Field

[0001] The present application relates to the field of Internet technology, and in particular to a shared base station flower arrangement recognition method, device and readable storage medium. Background Art

[0002] According to the principles of wireless network networking and planning and construction, when wireless networks are constructed and planned, the planning, construction and deployment of sites are mainly completed according to different coverage requirements and station spacing. The so-called flower-split sharing refers to the process in which the two parties implement sharing in batches and stages. The shared cells have not formed a continuous sharing, and there are many unshared co-frequency cells around them. The shared cells form a similar effect of flower-split in the unshared area. When users occupy the flower-split shared cells, they are affected by the co-frequency interference of the unshared cells in the area.

[0003] Poor experience perception

[0004] In the process of promoting China Telecom's 4G single network full-scale shared networking operations, the interference impact of shared networking is a major issue affecting China Telecom's user experience and perception.

[0005] Therefore, how to achieve intelligent identification of the shared impact of flower arrangements becomes a problem that needs to be solved. Summary of the invention

[0006] The technical problem to be solved by the present application is to provide a shared base station flower arrangement recognition method, device and readable storage medium to solve the problems existing in the prior art in view of the above-mentioned deficiencies in the prior art.

[0007] In a first aspect, the present application provides a shared base station flower arrangement recognition method, the method

[0008] The law includes:

[0009] S1. Obtaining basic base station data;

[0010] S2. Determine a sharing coefficient, a distance coefficient, and an orientation coefficient of a cell according to the base station basic data;

[0011] S3. Determine the degree of intermixing of the cell according to the sharing coefficient, distance coefficient and orientation coefficient of the cell, wherein the degree of intermixing is used to characterize the degree of intermixing influence of shared base stations, and the degree of intermixing is proportional to the degree of intermixing influence and the base station optimization priority.

[0012] In some embodiments, the base station basic data includes cell latitude and longitude and shared tag data;

[0013] In S2, determining a sharing coefficient of a cell according to the base station basic data includes:

[0014] According to the latitude and longitude of the cell, select M neighboring cells that are closest to the target cell, where M is an integer greater than or equal to 1;

[0015] Determine, according to the shared label data, the number N1 of cells that are not shared with the target cell among the M neighboring cells, where N1 is an integer greater than or equal to 0;

[0016] The ratio of N1 to M is determined as the sharing coefficient of the target cell.

[0017] In some embodiments, the base station basic data includes cell longitude and latitude and cell coverage scenario data;

[0018] In S2, determining the distance coefficient of the cell according to the base station basic data includes:

[0019] According to the latitude and longitude of the cell, select M neighboring cells that are closest to the target cell, where M is an integer greater than or equal to 1;

[0020] Determine, according to the cell coverage scenario data, the number N2 of cells that meet the preset distance requirement among the M neighboring cells, where N2 is an integer greater than or equal to 0;

[0021] The ratio of N2 to M is determined as the distance coefficient of the target cell.

[0022] In some embodiments, satisfying the preset distance requirement includes:

[0023] If both the target cell and the neighboring cell are indoor cells, and the distance is less than or equal to the first preset threshold, it is determined that the preset distance requirement is met;

[0024] If the target cell and the neighboring cell are not both indoor cells, and the distance is less than or equal to a second preset threshold, it is determined that the preset distance requirement is met.

[0025] In some embodiments, the base station basic data includes cell latitude, longitude and azimuth data;

[0026] In S2, determining the azimuth coefficient of the cell according to the base station basic data includes:

[0027] According to the latitude and longitude of the cell, select M neighboring cells that are closest to the target cell, where M is an integer greater than or equal to 1;

[0028] Determine, according to the azimuth angle data, the number N3 of cells that meet the preset azimuth requirement among the M neighboring cells, where N3 is an integer greater than or equal to 0;

[0029] The ratio of N3 to M is determined as the orientation coefficient of the target cell.

[0030] In some embodiments, satisfying the preset orientation requirement includes:

[0031] After the target cell and the neighboring cell are divided into four quadrants according to the azimuth angle data, if the quadrant where the neighboring cell is located is adjacent to the quadrant to which the target cell azimuth corresponds, it is determined that the preset azimuth requirement is met.

[0032] In some embodiments, in S3, determining the degree of insertion of a cell according to the sharing coefficient, the distance coefficient, and the orientation coefficient of the cell includes:

[0033] The degree of flower insertion of the cell is obtained by performing weighted summation according to the sharing coefficient, distance coefficient and orientation coefficient of the cell and the weights corresponding to the coefficients.

[0034] In a second aspect, the present application provides a shared base station flower arrangement identification device, the device comprising:

[0035] A data acquisition module, which is configured to acquire basic base station data;

[0036] A coefficient determination module, configured to determine a sharing coefficient, a distance coefficient, and an orientation coefficient of a cell according to the base station basic data;

[0037] The module for determining the degree of interpenetration is configured to determine the degree of interpenetration of a cell according to the sharing coefficient, distance coefficient and orientation coefficient of the cell. The degree of interpenetration is used to characterize the degree of interpenetration influence of shared base stations. The degree of interpenetration is proportional to the degree of interpenetration influence and the base station optimization priority.

[0038] In a third aspect, the present application provides a shared base station flower arrangement identification device, comprising a memory and a processor, wherein the memory stores a computer program, and the processor is configured to run the computer program to implement the shared base station flower arrangement identification method described in the first aspect above.

[0039] In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the shared base station flower arrangement identification method described in the first aspect above is implemented.

[0040] The present application provides a method, device and readable storage medium for identifying shared base station interspersed distribution. The method includes: acquiring basic base station data; determining a sharing coefficient, a distance coefficient and an azimuth coefficient of a cell based on the basic base station data; determining an interspersed distribution degree of a cell based on the sharing coefficient, the distance coefficient and the azimuth coefficient of the cell, the interspersed distribution degree being used to characterize the degree of interspersed distribution influence of a shared base station, and the interspersed distribution degree being proportional to the degree of interspersed distribution influence and the base station optimization priority. The present application provides a method for identifying intermittent sharing of shared base stations. According to the wireless network planning and construction principles and the principle of intermittent sharing, mathematical modeling is performed using the engineering parameter data of the China Telecom 4G network and the shared information of both parties at different stages. An intelligent identification model for intermittent sharing impact is constructed around the three dimensions of peripheral sharing, scene distance, and coverage orientation. The concept of intermittent degree is defined, and algorithm scoring and weight distribution rules for sharing coefficient rules, distance coefficient rules, and orientation coefficient rules are formulated. A comprehensive assessment of the intermittent impact of shared cells is performed according to a 100% full score system. According to the comprehensive assessment results, intermittent cells are labeled according to high, medium, and low priorities to achieve intelligent identification of the impact of intermittent sharing of the same frequency. Differentiated switching threshold configurations are implemented based on different priorities to ensure user retention and network occupancy under the influence of different intermittent degrees, and fully ensure the user's service experience and perception in the intermittent shared cell. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] 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.

[0042] Figure 1 A flow chart of a shared base station flower arrangement identification method provided in an embodiment of the present application;

[0043] Figure 2 A flow chart of another shared base station flower arrangement identification method provided in an embodiment of the present application;

[0044] Figure 3 This is a schematic diagram of the coefficient scoring according to the orientation coefficient rule of 4 quadrants of position + 4 quadrants of orientation in the embodiment of the present application;

[0045] Figure 4 A schematic diagram of the structure of a shared base station flower arrangement identification device provided in an embodiment of the present application;

[0046] Figure 5 A schematic diagram of the structure of another shared base station flower arrangement identification device provided in an embodiment of the present application.

[0047] 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

[0048] In order to enable those skilled in the art to better understand the technical solution of the present application, the implementation mode of the present application will be further described in detail below with reference to the accompanying drawings.

[0049] It should be understood that the specific embodiments and drawings described herein are only used to explain the present application, rather than to limit the present application.

[0050] It can be understood that, in the absence of conflict, the various embodiments in the present application and the various features in the embodiments can be combined with each other.

[0051] It can be understood that, for the convenience of description, the drawings of the present application only show the parts related to the present application, while the parts unrelated to the present application are not shown in the drawings.

[0052] It can be understood that each unit and module involved in the embodiments of the present application may correspond to only one physical structure, or may be composed of multiple physical structures, or multiple units and modules may be integrated into one physical structure.

[0053] It can be understood that the terms "first", "second", etc. in the embodiments of the present application are used to distinguish different objects, or to distinguish different processing of the same object, rather than to describe a specific order of objects.

[0054] It is understandable that, in the absence of conflict, the functions and steps marked in the flowcharts and block diagrams of the present application may occur in an order different from that marked in the drawings.

[0055] It is understood that the flowcharts and block diagrams of the present application illustrate the possible architecture, functions and operations of the systems, devices, equipment and methods according to the embodiments of the present application. Among them, each box in the flowchart or block diagram may represent a unit, module, program segment, code, which contains executable instructions for implementing the specified functions. Moreover, each box or combination of boxes in the block diagram and flowchart may be implemented by a hardware-based system that implements the specified functions, or by a combination of hardware and computer instructions.

[0056] It can be understood that the units and modules involved in the embodiments of the present application can be implemented by software or hardware, for example, the units and modules can be located in a processor.

[0057] Interference from shared content sharing is a major issue that affects the user experience and perception of telecom users. The main reasons are as follows:

[0058] 1. 4G sharing is promoted in batches, and flower sharing is inevitable

[0059] Unlike the joint construction and sharing of 5G networks, the 4G network is a network independently established and operated by both parties of the telecommunications network. The joint construction and sharing of the 4G network involves a series of issues such as sites, resources, links, maintenance, and settlements of both parties of the telecommunications network. It needs to be implemented step by step in batches and stages. Therefore, inter-connected sharing is inevitable in the process of promotion.

[0060] 2. Surrounding non-shared communities affect user perception in shared communities

[0061] Since the carrier frequency bands of operators in building 4G networks are consistent, for China Unicom users, when occupying China Telecom's shared cells to conduct business, the signals of surrounding non-shared cells will form co-frequency interference to the shared cells. In the process of moving from the shared cell to the non-shared area, if the switching from the shared cell to the China Unicom cell and the measurement start threshold setting are unreasonable, users occupying the shared cell for a long time will be affected by the co-frequency interference of the surrounding non-shared cells, seriously affecting the user experience perception.

[0062] At present, the determination of inter-base station sharing is mainly completed through the monitoring of cell KPI indicators. Since the cell KPI indicators count the data of all users in the cell, inter-base station interference mainly involves the experience of users in a single direction or a single path. Therefore, the judgment of the impact of inter-base station sharing on user experience is affected by other users in the cell and is difficult to accurately determine. For quality problems complained or fed back by users, the traditional method is to arrange road tests to investigate the problem areas, which is time-consuming and labor-intensive. The extent of the impact of inter-base station sharing on user experience is difficult to assess, and user experience is difficult to guarantee.

[0063] Based on the problems existing in the prior art, this application provides a method for identifying interleaving shared base stations. Starting from the protection of user experience and network quality, this application studies the impact of interleaving shared cells on network quality and user perceived experience during the implementation of 4G One Network. Focusing on the three dimensions of sharing status of neighboring cells around the shared cell, cell distance and coverage azimuth, algorithm rules for sharing coefficient, distance coefficient and azimuth coefficient are formulated. Based on different coverage scenario types, classification weights for different scenarios are assigned to complete the construction of an intelligent identification model for interleaving sharing impact. Through the intelligent identification model for interleaving sharing impact, the interference impact brought by interleaving shared cells can be intelligently graded and identified as high, medium and low during the phased implementation of co-construction and sharing of China Telecom's 4G One Network. This provides a basis for determining differentiated response measures for cells with different priority levels of interleaving impact, and ensures network quality and user experience perception during the implementation of 4G One Network.

[0064] 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.

[0065] The present application provides a shared base station flower arrangement identification method, the working process of which can be implemented by electronic devices, such as computers, handheld smart terminals, etc. For ease of explanation, the present application describes the method execution subject as a computer in each embodiment.

[0066] Figure 1 A schematic diagram of a shared base station flower arrangement identification method provided in an embodiment of the present application, Figure 2 Another schematic diagram of the shared base station flower arrangement identification method provided in the embodiment of the present application is as follows Figure 1 as well as Figure 2 As shown, the present application provides a shared base station flower arrangement identification method, the method includes S1-S3, which are as follows:

[0067] S1. Obtaining basic base station data;

[0068] Among them, the basic data of base stations can be obtained through data sources, for example, obtaining base station data engineering parameters through the shared blockchain platform of China Telecom, as well as obtaining the list of shared cells of China Telecom and obtaining the A2 threshold value of cell configuration parameters.

[0069] S2. Determine a sharing coefficient, a distance coefficient, and an orientation coefficient of a cell according to the base station basic data;

[0070] Among them, the sharing coefficient, distance coefficient and orientation coefficient of the cell are used to represent the degree of influence of the interspersed area caused by the cell sharing situation, the degree of influence of the interspersed area caused by the cell spacing distance, the degree of influence of the interspersed area caused by the cell orientation situation,

[0071] In some embodiments, the base station basic data includes cell latitude and longitude and shared tag data;

[0072] In S2, determining a sharing coefficient of a cell according to the base station basic data includes:

[0073] According to the latitude and longitude of the cell, select M neighboring cells that are closest to the target cell, where M is an integer greater than or equal to 1;

[0074] Determine, according to the shared label data, the number N1 of cells that are not shared with the target cell among the M neighboring cells, where N1 is an integer greater than or equal to 0;

[0075] The ratio of N1 to M is determined as the sharing coefficient of the target cell.

[0076] In this step, according to the industrial reference cell data, the telecommunication shared cell list label is matched, and whether the telecommunication cells (ie, neighboring cells) around the target cell are shared is marked, and the coefficient is scored according to the sharing coefficient.

[0077] Specifically, the blockchain cell longitude and latitude and shared tag data are used to calculate the 10 closest telecom physical cells around the target cell (i.e., M=10). According to the sharing coefficient rule, the 10 cells are scored for sharing indexes in turn and accumulated. Finally, the final sharing coefficient is obtained according to the formula: total sharing index score N1 / total calculated cells (10).

[0078] Among them, the surrounding communities of the target community are not shared, the target community is interspersed, and the sharing index is +1; the surrounding communities of the target community are shared, the target community is not interspersed, and the sharing index is +0.

[0079] For example, if there are three non-shared cells in the surrounding area, the sharing coefficient is calculated to be 3 / 10=0.3.

[0080] In some embodiments, the base station basic data includes cell longitude and latitude and cell coverage scenario data;

[0081] In S2, determining the distance coefficient of the cell according to the base station basic data includes:

[0082] According to the latitude and longitude of the cell, select M neighboring cells that are closest to the target cell, where M is an integer greater than or equal to 1;

[0083] Determine, according to the cell coverage scenario data, the number N2 of cells that meet the preset distance requirement among the M neighboring cells, where N2 is an integer greater than or equal to 0;

[0084] The ratio of N2 to M is determined as the distance coefficient of the target cell.

[0085] In some embodiments, satisfying the preset distance requirement includes:

[0086] If both the target cell and the neighboring cell are indoor cells, and the distance is less than or equal to the first preset threshold, it is determined that the preset distance requirement is met;

[0087] If the target cell and the neighboring cell are not both indoor cells, and the distance is less than or equal to a second preset threshold, it is determined that the preset distance requirement is met.

[0088] In this step, the distance between the target cell and the surrounding cells is calculated based on the longitude and latitude data of the engineering reference cell, and the coefficient is scored according to the distance coefficient rule.

[0089] Specifically, the blockchain cell longitude and latitude and cell coverage scenario data are used to calculate according to the longitude and latitude, and the 10 telecom physical cells closest to the target cell (i.e., M=10) are selected. According to the distance coefficient rule, the distance index scores are scored for the 10 cells in turn and accumulated. Finally, the final distance coefficient is obtained according to the formula: total distance index score N2 / total calculated cells (10).

[0090] If both the target cell and the surrounding cells are indoor cells, and the cell spacing is less than or equal to the first preset threshold (e.g., 100 meters), the surrounding cells have a greater impact on the target cell, and the distance index is +1;

[0091] In addition, if the target cell and the surrounding cells are not both indoor cells, the cell spacing is <= a second preset threshold (eg, 600 meters), the surrounding cells have a great impact on the target cell, and the distance index is +1.

[0092] For example, if the target cell is a macro cell and there are 6 surrounding cells with a distance of less than 600 meters, the calculated distance coefficient is 6 / 10=0.6.

[0093] In some embodiments, the base station basic data includes cell latitude, longitude and azimuth data;

[0094] In S2, determining the azimuth coefficient of the cell according to the base station basic data includes:

[0095] According to the latitude and longitude of the cell, select M neighboring cells that are closest to the target cell, where M is an integer greater than or equal to 1;

[0096] Determine, according to the azimuth angle data, the number N3 of cells that meet the preset azimuth requirement among the M neighboring cells, where N3 is an integer greater than or equal to 0;

[0097] The ratio of N3 to M is determined as the orientation coefficient of the target cell.

[0098] In some embodiments, satisfying the preset orientation requirement includes:

[0099] After the target cell and the neighboring cell are divided into four quadrants according to the azimuth angle data, if the quadrant where the neighboring cell is located is adjacent to the quadrant to which the target cell azimuth corresponds, it is determined that the preset azimuth requirement is met.

[0100] In this step, according to the azimuth of the engineering reference cell, the target cell position is taken as the origin, and the coefficient is scored according to the azimuth coefficient rule of position 4 quadrants + azimuth 4 quadrants. This step divides the position into 4 quadrants according to the longitude and latitude of the target cell and the surrounding cells, divides the azimuth into 4 quadrants based on the azimuth of 0 / 90 / 180 / 270 degrees, and determines the impact of flower insertion and the coefficient assignment according to the position 4 quadrants + azimuth 4 quadrants.

[0101] Specifically, according to the longitude and latitude and azimuth data of the blockchain cell, with the target cell location as the origin, the azimuth index of the 10 nearest surrounding cells is scored and accumulated in turn according to the azimuth coefficient rule of the 4-quadrant position + the 4-quadrant azimuth, and finally the final azimuth coefficient is obtained according to the formula: total azimuth index score N3 / total calculated cells (10). If the azimuth of the target cell is 45 degrees, the surrounding cells are located in the 1st quadrant of the target cell, and the azimuth is between 90 and 360, then it is recognized that there is a coverage impact between the two cells, and the azimuth index is +1. That is, the coverage in the opposite direction is affected by the weekly coverage direction, and the coverage in the same direction is not affected.

[0102] For example, Figure 3 This is a schematic diagram of the coefficient scoring according to the orientation coefficient rule of 4 quadrants of position + 4 quadrants of orientation in the embodiment of the present application, such as Figure 3 As shown, it is assumed that the quadrant corresponding to the target cell orientation is the first quadrant, the quadrant where the neighboring cell 1 is located is the second quadrant, the quadrant where the neighboring cell 2 is located is the third quadrant, and the quadrant where the neighboring cell 3 is located is the fourth quadrant. Since the second quadrant and the fourth quadrant are both adjacent to the first quadrant, the neighboring cells 1 and 3 will have an impact on the target cell. Therefore, it is determined that the neighboring cells 1 and 3 meet the preset orientation requirements, and the corresponding orientation indexes are each +1.

[0103] S3. Determine the degree of intermixing of the cell according to the sharing coefficient, distance coefficient and orientation coefficient of the cell, wherein the degree of intermixing is used to characterize the degree of intermixing influence of shared base stations, and the degree of intermixing is proportional to the degree of intermixing influence and the base station optimization priority.

[0104] In some embodiments, in S3, determining the degree of insertion of a cell according to the sharing coefficient, the distance coefficient, and the orientation coefficient of the cell includes:

[0105] The degree of flower insertion of the cell is obtained by performing weighted summation according to the sharing coefficient, distance coefficient and orientation coefficient of the cell and the weights corresponding to the coefficients.

[0106] In this step, the sharing coefficient reflects the degree of resource sharing within the cell, the distance coefficient reflects the spatial distance relationship between the cell and other areas, and the orientation coefficient describes the characteristics of the cell in terms of geographical orientation. In order to more accurately evaluate the degree of community insertion, first assign corresponding weights to these three coefficients. After clarifying each coefficient and its weight, the weighted summation method is used for calculation. Specifically, we weight the sharing coefficient, distance coefficient, and orientation coefficient according to their respective weights, and then add the weighted results, specifically: degree of community insertion = sharing coefficient * weight 1 + distance coefficient * weight 2 + orientation coefficient * weight 3.

[0107] This step outputs the priority of the interspersed degree of the base station based on the weight of the sharing coefficient, distance coefficient and azimuth coefficient, and implements optimization and adjustment measures by referring to the priority output base station detailed list. Among them, the interspersed degree is used to characterize the degree of interspersed influence of shared base stations, and the interspersed degree is proportional to the degree of interspersed influence and the optimization priority of the base station. In other words, the higher the interspersed degree score, the higher the degree of interspersed influence, and the higher the optimization priority of the base station.

[0108] Furthermore, according to the comprehensive evaluation results, the flower-insertion plots are labeled according to high, medium, and low priorities, for example,

[0109] High priority: flower arrangement score above 80%;

[0110] Medium priority: flower arrangement score 60% to 80%;

[0111] Low priority: Flower arrangement score below 60%.

[0112] In this way, intelligent identification of the impact of frequency sharing can be achieved, and differentiated switching threshold configuration can be implemented based on different priorities to ensure user retention and network occupancy under the influence of different frequency sharing degrees, fully guaranteeing the user's service experience and perception in the frequency sharing cell.

[0113] For example, for a high-priority base station, when a user occupies a shared cell, the user experience is poor due to the co-frequency interference of the non-shared cells in the area. Therefore, it is necessary to minimize the number of users staying to ensure the user's normal wireless network experience.

[0114] In this application, in order to verify the influence of sharing coefficient, distance coefficient and orientation coefficient on the results of flower insertion, the flower insertion results are output according to 6 different weight configurations, and 1588 communities with two or more model configurations judged as high priority are selected to conduct manual flower insertion impact accuracy verification, and the weight configuration model with higher accuracy is selected as the final model weight for flower insertion model application, as follows:

[0115]

[0116] Referring to the above table, for urban, county, and township scenes, when allocating the weights of the flower insertion coefficient, the more appropriate weight distribution is: the sharing coefficient weight is 0.5, the distance coefficient weight is 0.2, and the orientation coefficient weight is 0.2.

[0117] For rural scenes, when allocating the weights of the flower insertion coefficient, the more appropriate weight distribution is: the sharing coefficient weight is 0.3, the distance coefficient weight is 0.5, and the orientation coefficient weight is 0.2.

[0118] The present application provides a method for identifying intermittent sharing of shared base stations. According to the wireless network planning and construction principles and the principle of intermittent sharing, mathematical modeling is performed using the engineering parameter data of the China Telecom 4G network and the shared information of both parties at different stages. An intelligent identification model for intermittent sharing impact is constructed around the three dimensions of peripheral sharing, scene distance, and coverage orientation. The concept of intermittent degree is defined, and algorithm scoring and weight distribution rules for sharing coefficient rules, distance coefficient rules, and orientation coefficient rules are formulated. A comprehensive assessment of the intermittent impact of shared cells is performed according to a 100% full score system. According to the comprehensive assessment results, intermittent cells are labeled according to high, medium, and low priorities to achieve intelligent identification of the impact of intermittent sharing of the same frequency. Differentiated switching threshold configurations are implemented based on different priorities to ensure user retention and network occupancy under the influence of different intermittent degrees, and fully ensure the user's service experience and perception in the intermittent shared cell.

[0119] It should be understood that, although the various steps in the flowchart in the above-described embodiment 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 they can be executed in other orders. Moreover, at least a portion of the steps in the figure may include a plurality of sub-steps or a plurality of stages, and these sub-steps or stages are not necessarily executed at the same time, but can be executed at different times, and their execution order is not necessarily 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.

[0120] Figure 4 A schematic diagram of a shared base station flower arrangement recognition device provided in an embodiment of the present application, such as Figure 4 As shown, the present application provides a shared base station flower arrangement recognition device, the device comprising:

[0121] A data acquisition module 11, which is configured to acquire base station basic data;

[0122] A coefficient determination module 12, which is configured to determine a sharing coefficient, a distance coefficient and an orientation coefficient of a cell according to the base station basic data;

[0123] The insertion degree determination module 13 is configured to determine the insertion degree of the cell according to the sharing coefficient, distance coefficient and azimuth coefficient of the cell. The insertion degree is used to characterize the degree of insertion influence of shared base stations. The insertion degree is proportional to the degree of insertion influence and the base station optimization priority.

[0124] Regarding the limitation of the shared base station flower arrangement identification device, reference may be made to the limitation of the shared base station flower arrangement identification method in the above-mentioned embodiments of the present application, which will not be elaborated in this embodiment.

[0125] Figure 5Another schematic diagram of the shared base station flower arrangement identification device provided in the embodiment of the present application is as follows Figure 5 As shown, in some embodiments, the present application provides a shared base station flower arrangement identification device, including a memory 22 and a processor 21, the memory stores a computer program, and the processor is configured to run the computer program to execute the shared base station flower arrangement identification method in the above-mentioned embodiments of the present application.

[0126] The memory is connected to the processor, the memory may be a flash memory or a read-only memory or other memory, and the processor may be a central processing unit or a single-chip microcomputer.

[0127] In some embodiments, the present application provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the shared base station flower arrangement identification method in the above-mentioned embodiments of the present application is implemented.

[0128] The computer-readable storage medium includes volatile or non-volatile, removable or non-removable media implemented in any method or technology for storing information (such as computer-readable instructions, data structures, computer program modules or other data). Computer-readable storage media include, but are not limited to, RAM (Random Access Memory), ROM (Read-Only Memory), EEPROM (Electrically Erasable Programmable read only memory), flash memory or other memory technology, CD-ROM (Compact Disc Read-Only Memory), digital versatile disk (DVD) or other optical disk storage, magnetic cassettes, magnetic tapes, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to store the desired information and can be accessed by a computer.

[0129] It is to be understood that the above embodiments are merely exemplary embodiments used to illustrate the principles of the present application, but the present application is not limited thereto. For those skilled in the art, various modifications and improvements can be made without departing from the spirit and substance of the present application, and these modifications and improvements are also considered to be within the scope of protection of the present application.

Claims

1. A shared base station flower arrangement recognition method, characterized in that: The method comprises: S1. Obtaining basic base station data; S2. Determine a sharing coefficient, a distance coefficient, and an orientation coefficient of a cell according to the base station basic data; S3. Determine the degree of intermixing of the cell according to the sharing coefficient, distance coefficient and orientation coefficient of the cell, wherein the degree of intermixing is used to characterize the degree of intermixing influence of shared base stations, and the degree of intermixing is proportional to the degree of intermixing influence and the base station optimization priority.

2. The shared base station flower arrangement identification method according to claim 1, characterized in that: The base station basic data includes cell latitude and longitude and shared tag data; In S2, determining the sharing coefficient of the cell according to the base station basic data includes: According to the cell longitude and latitude, select M neighboring cells that are closest to the target cell, where M is an integer greater than or equal to 1; Determine, according to the shared label data, the number N1 of cells that are not shared with the target cell among the M neighboring cells, where N1 is an integer greater than or equal to 0; The ratio of N1 to M is determined as the sharing coefficient of the target cell.

3. The shared base station flower arrangement identification method according to claim 1, characterized in that: The base station basic data includes cell longitude and latitude and cell coverage scenario data; In S2, determining the distance coefficient of the cell according to the base station basic data includes: According to the cell longitude and latitude, select M neighboring cells that are closest to the target cell, where M is an integer greater than or equal to 1; Determine, according to the cell coverage scenario data, the number N2 of cells that meet the preset distance requirement among the M neighboring cells, where N2 is an integer greater than or equal to 0; The ratio of N2 to M is determined as the distance coefficient of the target cell.

4. The shared base station flower arrangement identification method according to claim 3, characterized in that: The meeting of the preset distance requirement includes: If both the target cell and the neighboring cell are indoor cells, and the distance is less than or equal to the first preset threshold, it is determined that the preset distance requirement is met; If the target cell and the neighboring cell are not both indoor cells, and the distance is less than or equal to a second preset threshold, it is determined that the preset distance requirement is met.

5. The shared base station flower arrangement identification method according to claim 1, characterized in that: The base station basic data includes cell latitude, longitude and azimuth data; In S2, determining the azimuth coefficient of the cell according to the base station basic data includes: According to the cell longitude and latitude, select M neighboring cells that are closest to the target cell, where M is an integer greater than or equal to 1; Determine, according to the azimuth angle data, the number N3 of cells that meet the preset azimuth requirement among the M neighboring cells, where N3 is an integer greater than or equal to 0; The ratio of N3 to M is determined as the orientation coefficient of the target cell.

6. The shared base station flower arrangement identification method according to claim 5, characterized in that: The meeting of the preset orientation requirement includes: After the target cell and the neighboring cell are divided into four quadrants according to the azimuth angle data, if the quadrant where the neighboring cell is located is adjacent to the quadrant to which the target cell azimuth corresponds, it is determined that the preset azimuth requirement is met.

7. The shared base station flower arrangement recognition method according to any one of claims 1 to 6, characterized in that: In S3, the degree of flower insertion of the cell is determined according to the sharing coefficient, distance coefficient and orientation coefficient of the cell, including: The degree of flower insertion of the cell is obtained by performing weighted summation according to the sharing coefficient, distance coefficient and orientation coefficient of the cell and the weights corresponding to the coefficients.

8. A shared base station flower arrangement recognition device, characterized in that: The device comprises: A data acquisition module, which is configured to acquire basic base station data; A coefficient determination module, configured to determine a sharing coefficient, a distance coefficient, and an orientation coefficient of a cell according to the base station basic data; The module for determining the degree of interpenetration is configured to determine the degree of interpenetration of a cell according to the sharing coefficient, distance coefficient and orientation coefficient of the cell. The degree of interpenetration is used to characterize the degree of interpenetration influence of shared base stations. The degree of interpenetration is proportional to the degree of interpenetration influence and the base station optimization priority.

9. A shared base station flower arrangement recognition device, characterized in that: It comprises a memory and a processor, wherein the memory stores a computer program, and the processor is configured to run the computer program to implement the shared base station flower arrangement identification method as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by the processor, the shared base station flower arrangement identification method according to any one of claims 1 to 7 is implemented.

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