Outdoor distributed cell analysis method and device, electronic equipment and program product

Abstract

The application relates to the technical field of communication, and provides an outdoor distributed cell analysis method and device, electronic equipment and program product. The method comprises the following steps: acquiring quantity information of target sites corresponding to a target building in an outdoor distributed cell to be analyzed, cell parameters of the target sites, a cell coverage structure of the target sites, and a target capacity index of the target sites; and based on the quantity information, the cell parameters, the cell coverage structure, and the target capacity index, whether the outdoor distributed cell to be analyzed meets an outdoor distributed cell removal condition is analyzed. The outdoor distributed cell analysis method and device, electronic equipment and program product provided by the application can realize comprehensive evaluation and accurate positioning of the outdoor distributed cell.

Description

Technical Field

[0001] This application relates to the field of communication technology, specifically to an outdoor distributed cell analysis method, apparatus, electronic device, and program product. Background Technology

[0002] Currently, the assessment of reusable 4G outdoor distribution resources generally adopts a dual evaluation method of "resource utilization rate + on-site testing". First, the resource utilization rate is assessed to determine whether the outdoor distribution site can solve the thickness (capacity) coverage problem. Second, manual on-site testing is carried out for properties with low resource utilization rates in outdoor distribution communities, focusing on verifying the coverage capabilities of neighboring cells of the same network standard other than the target resource that has been removed.

[0003] The current method for analyzing the reusable resources of 4G outdoor distributed cells has the following drawbacks: limited assessment information, considering only cell load and neighboring cell coverage capabilities, which may cause gaps in the mobile communication network, leading to the embarrassing situation of user complaints in the early and later stages of dismantling; and the need for manual testing and investigation on-site, which is ineffective and has high labor costs. Summary of the Invention

[0004] This application provides an outdoor distributed cell analysis method, apparatus, electronic device, and program product to solve the technical problem of inaccurate outdoor distributed cell resource analysis.

[0005] In a first aspect, embodiments of this application provide an outdoor distributed cell analysis method, including:

[0006] Obtain the number of target sites corresponding to the target buildings in the outdoor distributed community to be analyzed, the cell parameters of the target sites, the cell coverage structure of the target sites, and the target capacity index of the target sites;

[0007] Based on the quantity information, the cell parameters, the cell coverage structure, and the target capacity index, it is analyzed whether the outdoor distributed cell to be analyzed meets the conditions for outdoor distribution removal.

[0008] In one embodiment, analyzing whether the outdoor distributed cell to be analyzed meets the outdoor distribution removal conditions based on the quantity information, the cell parameters, the cell coverage structure, and the target capacity index includes:

[0009] Based on the quantity information and the cell parameters, it is determined whether the target site meets the first preset condition;

[0010] If the target site meets the first preset condition, determine whether the cell coverage structure is reasonable;

[0011] Given a reasonable cell coverage structure, the target capacity index is determined.

[0012] If the target capacity index meets the second preset condition, analyze whether the outdoor distributed cell to be analyzed meets the outdoor distributed cell removal condition.

[0013] In one embodiment, before determining whether the target site meets the first preset condition based on the quantity information and the cell parameters, the method further includes:

[0014] The target geographical location of the target building is rasterized to determine the target raster corresponding to the target building;

[0015] Based on the correlation between the original MRO data in the user measurement report and the target grid, as well as the aggregation relationship between the target building and the target grid, the quantity information and the cell parameters are determined;

[0016] The cell parameters include: the number of sampling points of the cell corresponding to the target site, the average coverage level of the cell corresponding to the target site, and the coverage rate of the cell corresponding to the target site.

[0017] In one embodiment, the first preset condition includes:

[0018] The quantity information is greater than or equal to 2;

[0019] The number of sampling points is greater than the first threshold value;

[0020] The average coverage level is greater than or equal to the second threshold or the coverage rate is greater than the third threshold.

[0021] In one embodiment, determining whether the cell coverage structure is reasonable includes:

[0022] Based on the center latitude and longitude of the target building, a coordinate system corresponding to the target building is established, with the horizontal axis of the coordinate system pointing due east and the vertical axis pointing due north.

[0023] Based on the coordinate system, it is determined whether the target station meets the third preset condition. The third preset condition is that there is at least one target station in the first or fourth quadrant of the coordinate system, and at least one target station in the second or third quadrant.

[0024] If the target site meets the third preset condition, the orientation angle of the target site is determined based on the center point of the target building, the center point of the target site, and the orientation angle of the community corresponding to the target site.

[0025] If the orientation angle does not exceed the orientation angle threshold, the cell coverage structure is determined to be reasonable.

[0026] In one embodiment, determining the target capacity metric includes:

[0027] In the case of simulating the dismantling of the base station corresponding to the outdoor distributed cell to be analyzed, the target incremental prediction model corresponding to the target capacity index is determined based on the sample data corresponding to the target capacity index.

[0028] Based on the target increment prediction model, the target increment corresponding to the target capacity indicator within the target time period is determined;

[0029] Based on the target increment, the target capacity index is determined.

[0030] In one embodiment, the target capacity metrics include: channel utilization and physical resource block utilization;

[0031] The channel utilization rate includes at least one of the following: uplink shared physical channel utilization rate, downlink shared physical channel utilization rate, and physical downlink control channel utilization rate;

[0032] The physical resource block utilization rate includes at least one of the following:

[0033] Uplink physical resource block utilization and downlink physical resource block utilization.

[0034] Secondly, embodiments of this application provide an outdoor distributed cell analysis device, comprising:

[0035] The acquisition module is used to acquire information on the number of target sites corresponding to target buildings in the outdoor distributed community to be analyzed, the cell parameters of the target sites, the cell coverage structure of the target sites, and the target capacity index of the target sites.

[0036] The analysis module is used to analyze whether the outdoor distributed cell to be analyzed meets the outdoor distribution removal conditions based on the quantity information, the cell parameters, the cell coverage structure, and the target capacity index.

[0037] Thirdly, embodiments of this application provide an electronic device, including a processor and a memory storing a computer program, wherein the processor executes the program to implement the outdoor distributed cell analysis method of the first aspect.

[0038] Fourthly, embodiments of this application provide a computer program product, including a computer program that, when executed by a processor, implements the outdoor distributed cell analysis method of the first aspect.

[0039] The outdoor distributed cell analysis method, apparatus, electronic equipment, and program products provided in this application can determine the target outdoor distributed cell that meets the conditions for outdoor distributed cell removal based on the number of target sites corresponding to the target buildings in the outdoor distributed cell to be analyzed, cell parameters, cell coverage structure, and target capacity indicators, thereby achieving comprehensive evaluation and accurate positioning of the outdoor distributed cell. Attached Figure Description

[0040] To more clearly illustrate the technical solutions in this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0041] Figure 1 This is a flowchart illustrating the outdoor distributed cell analysis method provided in the embodiments of this application;

[0042] Figure 2 This is one of the data processing diagrams illustrating the outdoor distributed cell analysis method provided in the embodiments of this application;

[0043] Figure 3 This is a second schematic diagram of data processing using the outdoor distributed cell analysis method provided in the embodiments of this application;

[0044] Figure 4 This is the third schematic diagram of data processing using the outdoor distributed cell analysis method provided in the embodiments of this application;

[0045] Figure 5 This is a schematic diagram of the coordinate system for applying the outdoor distributed cell analysis method provided in the embodiments of this application;

[0046] Figure 6 This is a schematic diagram of the structure of the outdoor distributed cell analysis device provided in the embodiments of this application;

[0047] Figure 7 This is a schematic diagram of the structure of the electronic device provided in the embodiments of this application. Detailed Implementation

[0048] To make the objectives, technical solutions, and advantages of this application clearer, the technical solutions of this application will be clearly and completely described below with reference to the accompanying drawings of the embodiments. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0049] The execution subject of the outdoor distributed cell analysis method provided in this application embodiment can be an electronic device, a component in the electronic device, an integrated circuit, or a chip. The electronic device can be a mobile electronic device or a non-mobile electronic device. For example, a mobile electronic device can be a mobile phone, tablet computer, laptop computer, PDA, in-vehicle electronic device, wearable device, ultra-mobile personal computer (UMPC), netbook, or personal digital assistant (PDA), etc., while a non-mobile electronic device can be a server, network attached storage (NAS), personal computer (PC), ATM, or self-service machine, etc., and this application does not specifically limit the scope.

[0050] The technical solution of this application will be described in detail below using the example of a computer executing the outdoor distributed cell analysis method provided in this application.

[0051] Figure 1 This is a flowchart illustrating the outdoor distributed cell analysis method provided in an embodiment of this application. (Refer to...) Figure 1 This application provides an outdoor distributed cell analysis method, which may include steps 110 and 120.

[0052] Step 110: Obtain the number of target sites corresponding to the target buildings in the outdoor distributed cell to be analyzed, the cell parameters of the target sites, the cell coverage structure of the target sites, and the target capacity indicators of the target sites.

[0053] It should be noted that outdoor distributed cells are areas covered by base stations or antennas in outdoor distributed systems.

[0054] An outdoor distribution system is a solution used to improve the mobile communication environment outside buildings. It uses an outdoor antenna distribution system to evenly distribute the signal of the mobile base station in the outdoor area, thereby ensuring that the outdoor area has ideal signal coverage.

[0055] The outdoor distributed cells to be analyzed are the cells that require resource analysis, such as 4G outdoor distributed cells, 3G outdoor distributed cells, or other communication cells.

[0056] The target buildings within the outdoor distribution community to be analyzed can be determined based on the corresponding preset area range.

[0057] The preset area is determined based on data provided by the Internet map service provider (hereinafter referred to as "map provider"), and can be a pre-divided residential area, administrative area, property point or other closed park.

[0058] Before step 110, the original measurement report (MRO) data after latitude and longitude backfilling based on the Long Term Evolution (LTE) network is obtained, which may include the following three processes: S1_u latitude and longitude acquisition; MRO neighbor cell ECI backfilling and latitude and longitude backfilling; MRO indoor and outdoor feature discrimination.

[0059] The ECI consists of the EnodeB ID and the Cell ID, where the EnodeB ID is the base station identifier and the Cell ID is the cell identifier. S1_u is the user plane interface used for data packet transmission.

[0060] (1) Obtain the latitude and longitude of S1_u.

[0061] The S1_u latitude and longitude is mainly obtained by parsing the latitude and longitude reported by the application (APP) and the interface of the Internet map provider positioning software development kit (SDK). Specifically, it parses the latitude and longitude of the Global Positioning System (GPS) reported by the HTTP protocol POST, parses the latitude and longitude calculated by the map server in the HTTP protocol downlink 2000K response, and extracts the latitude and longitude of the plaintext URL by the HTTP protocol GET.

[0062] GET and POST are HTTP request methods. The Hypertext Transfer Protocol (HTTP) is designed to ensure communication between clients and servers. GET requests the specified page information and returns the entity body. POST submits data to a specified resource for processing (such as submitting a form or uploading a file), and the data is included in the request body.

[0063] (2) MRO neighboring area ECI backfilling and latitude and longitude backfilling

[0064] The original MRO data only contains the ECI information of the primary serving cell; neighboring cells are represented by their Physical Layer Cell Identity (PCI) + LTE Absolute Radio Frequency Channel Number (EARFCN). Therefore, based on the neighboring cell relationships of the primary serving cell's ECI, all cells meeting the conditions are matched in the parameter table using the neighboring cell's PCI + Earfcn, and the ECI of the cell with the smallest distance to the primary cell is selected as the neighboring cell's ECI. On this basis, latitude and longitude are backfilled for MRO data through S1_u parsing. The Hardoop implementation principle is as follows:

[0065] Find the correlation between XDR_S1_mme and the original MRO data using MmeUeS1ApID+ECI;

[0066] Fill the original MRO data with the IMSI (MSISDN) from XDR_S1_mme;

[0067] The correlation between the OTT location XDR_S1u_http and the relevant raw MRO data was found by using IMSI+TIME;

[0068] The latitude and longitude coordinates in XDR_S1u_http are backfilled into the relevant original MRO data.

[0069] (3) Indoor and outdoor characteristics of MRO

[0070] MRO (Maintenance, Repair, and Operations) uses the following characteristics to distinguish between indoor and outdoor features: single-user mobility, indoor distributed cell occupancy, continuous handover features of the primary serving cell, indoor and outdoor voltage level characteristics (differentiation between the same area and the MDT), or service usage, thereby achieving feature discrimination of indoor and outdoor user MRO data.

[0071] This method for identifying and processing latitude and longitude information based on user plane HTTP signaling data flexibly applies business identification on the basis of existing specifications, and achieves latitude and longitude identification and processing by extracting the latitude and longitude information carried in the business signaling.

[0072] The following example uses a preset area as the property point to illustrate how the property points corresponding to the outdoor distributed communities to be analyzed are determined in the following way:

[0073] Based on Geographic Information System (GIS) algorithms, the correspondence between the outdoor distributed communities to be analyzed and the property points corresponding to the residential areas is determined according to the latitude and longitude information of the communities to be analyzed and the property point layers corresponding to the residential areas.

[0074] like Figure 2 As shown, P(x, y) represents the outdoor distribution of residential communities to be analyzed, and the irregular surface ABCDEFG represents the property point layer. Determining the correspondence between the outdoor distribution of residential communities to be analyzed and the property points is equivalent to determining whether P(x, y) lies within the irregular surface ABCDEFG.

[0075] It should be noted that when a point is inside a polygon, the number of times it sends a ray in any direction intersects the polygon is always odd (when the ray overlaps with a side of the polygon, it is considered to intersect once; the intersection of the ray and the polygon does not include the endpoints of the polygon). If the point is outside the polygon, then the number of intersections is always even (including 0).

[0076] Preferably, based on Figure 3 The direction of the coordinate axis is such that the angle of the ray sent by point P can be 0°, 90°, 180°, or 360°. For example, the direction of the ray sent by point P located inside an irregular polygon can be the positive x-axis direction.

[0077] The algorithm is explained below for edge FG; the same principle applies to other edges.

[0078] 1. It is agreed that the direction of the ray emitted from the designated point is the positive direction of the x-axis.

[0079] 2. The y-coordinate value of test point P lies between the y-coordinate values ​​of points F and G, respectively. If point P is to the left of line segment FG (or on this side), then the ray emanating from point P in the positive x-axis direction will definitely intersect line segment FG. Figure 4 As shown, the intersection point is Px. Figure 4 It includes ray "F" passing through point F and ray "G" passing through point G.

[0080] The coordinates of the intersection point Px are calculated using the principle of similar triangles. The calculation process is as follows:

[0081] If the coordinates of the intersection point Px are (xp, yp), the coordinates of point F are (x1, y1), and the coordinates of point G are (x2, y2), then the following relationship holds:

[0082] (y1-yp) / (y1-y2)=(x1-xp) / (x1-x2);

[0083] That is, xp = x1 - (y1 - yp) * (x1 - x2) / (y1 - y2). When the x-coordinate of point P is less than or equal to the x-coordinate of point Px, point P is to the left of this edge. Therefore, the ray emitted from point P in the positive x-axis direction must intersect this edge.

[0084] 3. Calculate the cumulative number of intersections of all edges in sequence to determine whether point P is within the irregular surface ABCDEFG, i.e. whether the outdoor distributed communities to be analyzed are located within the property point layer.

[0085] Understandably, according to the above algorithm, it is possible not only to determine whether the outdoor distribution community to be analyzed is located within the preset area, but also to determine the relationship between the preset area and the buildings, identify the target buildings located within the preset area, and use the target buildings as the objects of evaluation and analysis of the demolition of the reused resources of the outdoor distribution community.

[0086] The embodiments of this application can be applied to the evaluation of reusable resources in outdoor distributed communities, and can guide operators to carry out the work of reducing costs and increasing efficiency in refined operations.

[0087] After identifying the target buildings within the outdoor distribution cell to be analyzed, the evaluation indicators corresponding to the target site coverage of the target buildings can be determined. The evaluation indicators can include the number of target sites, cell parameters, cell coverage structure, and target capacity indicators.

[0088] The target site can be a macro site or other types of equipment. The quantity information refers to the number of target sites; the cell parameters can include relevant parameters of the cell corresponding to the target site; the cell coverage structure is used to evaluate the rationality of the cell coverage of the target building corresponding to the target site; and the target capacity index is used to evaluate the load information of the cell.

[0089] Step 120: Based on the quantity information, cell parameters, cell coverage structure, and target capacity indicators, analyze whether the outdoor distribution cell to be analyzed meets the conditions for outdoor distribution removal.

[0090] If the number of target sites, cell parameters, cell coverage structure, and target capacity meet the preset conditions, it can be determined whether the outdoor distribution cell to be analyzed meets the conditions for outdoor distribution removal.

[0091] Meeting the outdoor distribution deletion condition can be understood as being able to turn off the outdoor distribution cell to be analyzed, that is, being able to dismantle the base station corresponding to the outdoor distribution cell to be analyzed.

[0092] The outdoor distribution cell analysis method provided in this application can determine the target outdoor distribution cell that meets the conditions for outdoor distribution cell removal based on the number of target sites corresponding to the target buildings in the outdoor distribution cell to be analyzed, cell parameters, cell coverage structure and target capacity indicators, so as to achieve comprehensive evaluation and accurate positioning of the outdoor distribution cell.

[0093] In one embodiment, based on quantity information, cell parameters, cell coverage structure, and target capacity indicators, the analysis determines whether the outdoor distributed cell to be analyzed meets the conditions for outdoor distribution removal, including:

[0094] Based on quantity information and cell parameters, determine whether the target site meets the first preset condition;

[0095] If the target site meets the first preset condition, determine whether the cell coverage structure is reasonable;

[0096] Determine the target capacity index based on a reasonable community coverage structure;

[0097] If the target capacity index meets the second preset condition, analyze whether the outdoor distribution community to be analyzed meets the outdoor distribution demolition condition.

[0098] Based on the MRO data of the target building and indoor users, the parameters corresponding to the community coverage relationship of the target building can be determined.

[0099] Then, after simulating and eliminating outdoor distributed cells to be analyzed, the number of target buildings covered by the remaining target sites and the cell parameters are determined according to the parameters corresponding to the cell coverage relationship, and it is determined whether the target sites meet the first preset condition.

[0100] The target site can be a macro site or other types of devices.

[0101] If the target site meets the first preset condition, it means that the target building is ready for the next stage of evaluation.

[0102] If the target site does not meet the first preset condition, it means that the target building does not meet the conditions for outdoor demolition.

[0103] After determining that the target site meets the first preset condition, it is judged whether the cell coverage structure of the target site covering the target building is reasonable, and the rationality of the cell coverage structure of the surrounding target sites is analyzed with the target building as the center point.

[0104] like Figure 5 As shown, the target stations are stations within a circular area centered on the target building with a radius equal to the ideal coverage radius R, and the target stations are macro stations B, C, and D.

[0105] Assuming the target building is a low-rise residential area, its building projection is generally rectangular and oriented north-south. Therefore, taking this target building as the center point, we analyze the rationality of the cell coverage structure of macro stations B, C, and D.

[0106] Given a reasonable coverage structure in the community, determine the target capacity indicators for the target sites.

[0107] Understandably, this step requires determining the impact on the network load of the target site at the current moment after the outdoor distributed cells to be analyzed are removed, as well as predicting the network load of the target site after a period of time.

[0108] Therefore, after simulating and eliminating the outdoor distribution communities to be analyzed, the target buildings and the outdoor distribution communities to be analyzed can be evaluated to determine whether they meet the conditions for outdoor distribution demolition by determining the target capacity index of the target site.

[0109] In one embodiment, the target capacity metrics include: channel utilization and physical resource block utilization;

[0110] Channel utilization includes at least one of the following: uplink shared physical channel utilization, downlink shared physical channel utilization, and physical downlink control channel utilization;

[0111] Physical resource block utilization includes at least one of the following:

[0112] Uplink physical resource block utilization and downlink physical resource block utilization.

[0113] It should be noted that the utilization rate of the Physical Uplink Shared Channel (PUSCH) is the ratio of the time taken to transmit a complete frame via PUSCH within the statistical period to the total time of the period; the utilization rate of the Physical Downlink Shared Channel (PDSCH) is the ratio of the time taken to transmit a complete frame via PDSCH within the statistical period to the total time of the period; and the utilization rate of the Physical Downlink Control Channel (PDCCH) is the ratio of the time taken to transmit a complete frame via PDCCH within the statistical period to the total time of the period.

[0114] Uplink Physical Resource Block (PRB) utilization rate refers to the ratio of the number of PRBs actually used by the cell's PUSCH to the number of PRBs available for the cell's uplink physical channel within a statistical period. Downlink PRB utilization rate is the ratio of the number of PRBs actually used by the cell's PDSCH to the number of PRBs available for the cell's downlink physical channel within a statistical period.

[0115] PUSCH utilization, PDSCH utilization, PDCCH utilization, uplink PRB utilization, and downlink PRB utilization can all reflect the utilization of system radio resources.

[0116] If the target capacity index meets the second preset condition, analyze whether the outdoor distribution community to be analyzed meets the outdoor distribution demolition condition.

[0117] In this step, we can determine the outdoor distribution area corresponding to the target building, and further determine whether the area with the most sampling points in the first or fourth quadrant during the target time period is under high load, and whether the area with the most sampling points in the second or third quadrant is under high load.

[0118] If the above conditions are met, determine whether the target capacity indicator meets the second preset condition within the target time period. The target time period can be the day after the simulated removal of outdoor distributed communities to be analyzed, or it can be a period of time later, such as a week or a month later.

[0119] Understandably, the target capacity indicator for the day can be obtained directly, while the target capacity indicator for a period of time can be obtained through prediction.

[0120] In one embodiment, the second preset condition includes:

[0121] PUSCH utilization is greater than or equal to the first load threshold, PDSCH utilization is greater than or equal to the second load threshold, and PDCCH utilization is greater than or equal to the third load threshold;

[0122] And at least one of the following: uplink PRB utilization rate is greater than or equal to the fourth load threshold and downlink PRB utilization rate is greater than or equal to the fifth load threshold.

[0123] In practice, the judgment criteria can be adopted from the capacity load statistics in the northbound interface technical specifications of different OMC systems.

[0124] The second preset condition may include at least one of the following: PUSCH utilization rate is greater than or equal to the first load threshold, PDSCH utilization rate is greater than or equal to the second load threshold, and PDCCH utilization rate is greater than or equal to the third load threshold.

[0125] The first, second, and third load thresholds can be set to the same value or different values; no specific restrictions are imposed here. For example, they can be set to PUSCH utilization ≥ 40%, PDSCH utilization ≥ 40%, or PDCCH utilization ≥ 40%.

[0126] The second preset condition may also include at least one of the following: the uplink PRB utilization rate is greater than or equal to the fourth load threshold and the downlink PRB utilization rate is greater than or equal to the fifth load threshold.

[0127] In actual implementation, following the order from the main cell to the neighboring cell and from the largest number of sampling points to the smallest, after simulating the removal of the outdoor distributed cell to be analyzed, it is predicted whether the PRB utilization rate of the cell corresponding to the target site is within the high load threshold after carrying the relevant traffic. That is, the conditions that need to be met are: the uplink PRB utilization rate is greater than or equal to the fourth load threshold and the downlink PRB utilization rate is greater than or equal to the fifth load threshold.

[0128] The fourth and fifth load thresholds can be set to the same value or different values; no specific restrictions are imposed here.

[0129] After simulating and removing the micro base stations corresponding to the outdoor distributed cells to be analyzed during a certain period of the day, the target capacity index can be determined. If the target capacity index meets the second preset condition, it can be determined that the outdoor distributed cells to be analyzed are ready for outdoor distribution removal.

[0130] In practice, the following indicators can be used to determine whether a target building meets the conditions for removing outdoor distribution cells: property name, target building, ECI of the outdoor distribution cells in the main service area, whether the outdoor distribution cells are under high load, the number of macro base stations within the 1 / 4 quadrant (first or fourth quadrant) coverage radius R that meet the sampling point / average level / coverage rate thresholds and have coverage relationships, the number of macro base stations within the 2 / 3 quadrant (second or third quadrant) coverage radius R that meet the sampling point / average level / coverage rate thresholds and have coverage relationships, the ECI of the top-ranked sampling cell in the 1 / 4 quadrant (TOP1 refers to the cell with the most sampling points), whether the top-ranked sampling cell in the 1 / 4 quadrant is under high load, the ECI of the top-ranked sampling cell in the 2 / 3 quadrant, whether the top-ranked sampling cell in the 2 / 3 quadrant is under high load, and whether the removal of the outdoor distribution cells will cause high load in surrounding macro base stations. These indicators are shown in Tables 1 and 2.

[0131] It is understandable that Table 1 and Table 2 describe the same property locations, and the associated buildings and the outdoor distribution community ECIs of the main service community are the same.

[0132] Table 1

[0133]

[0134] Table 2

[0135]

[0136] As shown in Table 3, the determination of whether an outdoor distribution community can be demolished can be made based on the property name, outdoor distribution community ECI, number of buildings covered, target building list, number of buildings meeting the outdoor distribution demolition conditions, and building list.

[0137] Table 3

[0138]

[0139] The outdoor distributed cell analysis method provided in this application determines the target building corresponding to the outdoor distributed cell to be analyzed, simulates and removes the outdoor distributed cell to be analyzed, determines the cell coverage relationship between the target site and the target building, and the rationality of the cell coverage topology of the target site. Then, based on the target capacity index of the target site, it determines the outdoor distributed cell to be analyzed that meets the conditions for outdoor distributed cell removal, thereby achieving a comprehensive evaluation and accurate positioning of the outdoor distributed cell.

[0140] In one embodiment, before determining whether the target site meets the first preset condition based on quantity information and cell parameters, the method further includes:

[0141] The target geographical location of the target building is rasterized to determine the target raster corresponding to the target building;

[0142] Based on the correlation between the original MRO data in the user measurement report and the target grid, as well as the aggregation relationship between the target building and the target grid, the quantity information and community parameters are determined.

[0143] Cell parameters include: the number of sampling points in the cell corresponding to the target site, the average coverage level of the cell corresponding to the target site, and the coverage rate of the cell corresponding to the target site.

[0144] Conventional indicator systems only include community and time dimensions, lacking building-level indicators. In this embodiment, building-level indicators are determined as follows:

[0145] The latitude and longitude of the HTTP signaling data in the user plane has been backfilled in the above steps. The latitude and longitude here are discrete and the data volume is huge. Directly using the massive discrete latitude and longitude information and the entire number of buildings for iterative calculation is very resource-intensive.

[0146] Therefore, the target geographical location of the target building is first rasterized to form a number of small grids. Then, the discrete latitude and longitude in the user plane HTTP signaling are also rasterized to form an indicator system corresponding to the grid. Finally, the indicators corresponding to the target building are summarized through the mapping relationship between the target building and the target grid.

[0147] For example, if the target grid is located in a certain province, the coordinates of the entire province can be rasterized based on the area of ​​that province, forming 3.2 billion small grids. That is, the city or county map with backfilled latitude and longitude can be divided into fixed 10m*10m grids, and the relationship between the target buildings and the target grids can be established, as shown in Table 4.

[0148] Table 4

[0149] Property Name Building Name Associated Raster A certain community Building 1 Grid 111, Grid 112, Grid 113, Grid 114

[0150] Among them, the property name is the name corresponding to the property point, the building name is the name corresponding to the target building, and the associated grid is the target grid associated with the target building.

[0151] Meanwhile, by acquiring indoor user MRO data backfilled with LTE network latitude and longitude coordinates, and through the correlation between MRO latitude and longitude and target grids, and the aggregation relationship between target grids and target buildings, the main and neighboring cell coverage relationships of each target building are calculated by performing aggregation calculations according to the main cell and neighboring cells. Therefore, it is possible to map user plane HTTP signaling data to specific target grids, and also to extract information from the signaling data for service identification and latitude and longitude identification, and to model and identify the grid scene, ultimately achieving scene-specific grid-cell-service modeling.

[0152] Based on cell coverage relationships, the number of target sites and the cell parameters corresponding to the target sites can be determined.

[0153] Cell coverage relationships can include the following cell parameters: property name, building name, ECI, cell type, coverage type, equipment category, average voltage level, number of sampling points, number of weak coverage sampling points, and coverage rate. For example, the cell coverage relationships for a property name of cell X and a target building of building 1 are shown in Table 5.

[0154] If the cell corresponding to the micro base station is an outdoor distributed cell to be analyzed, then the table below includes the cell coverage relationship statistics of the outdoor distributed cell to be analyzed as the main cell and the cell coverage relationship statistics of the outdoor distributed cell to be analyzed as the neighboring cell. The rest are the cell coverage relationship statistics of outdoor macro base station cells.

[0155] Table 5

[0156]

[0157]

[0158] It is understood that the rasterization processing method provided in the above embodiments can be applied to different target geographical locations as needed, so as to determine the target raster corresponding to any target building.

[0159] The outdoor distributed cell analysis method provided in this application divides the target geographical location of the target building into a geographic grid, so that the target building can be mapped to a specific target grid, and the scene corresponding to the target grid is modeled and identified, and finally realizes grid-cell-service modeling for different scenes; it can also evaluate the coverage of the target site to the target building based on the cell coverage relationship corresponding to the target site.

[0160] In one embodiment, the first preset condition includes:

[0161] The quantity information is greater than or equal to 2;

[0162] The number of sampling points is greater than the first threshold value;

[0163] The average coverage level is greater than or equal to the second threshold or the coverage rate is greater than the third threshold.

[0164] The target site is a site located within a circular area centered on the target building, with a radius equal to the ideal coverage radius, and capable of providing communication network services to the target building.

[0165] After simulating and eliminating outdoor distributed cells to be analyzed, the cell coverage relationships can be determined based on the cell coverage relationships of each target building. Based on these cell coverage relationships, the following cell parameters can be determined: property name, building name, ECI, cell type, coverage type, equipment category, average voltage level, number of sampling points, number of weak coverage sampling points, and coverage rate.

[0166] Based on the above embodiments, simulated elimination of outdoor distributed cells to be analyzed, that is, eliminating the statistical information of cell coverage relationship between the outdoor distributed cells to be analyzed as the main cell and neighboring cells, and evaluating cell parameters only based on the remaining target site coverage of the target building, so as to determine whether the target building meets the first preset condition.

[0167] The first presupposition condition is:

[0168] The number of target sites is greater than or equal to 2, meaning the number of target sites can be 2, 3, or 4, etc.

[0169] The number of sampling points in the cell corresponding to the target site is greater than the first threshold value;

[0170] The average coverage level of the cell corresponding to the target site is greater than or equal to the second threshold, or the coverage rate of the cell corresponding to the target site is greater than the third threshold.

[0171] The number of sampling points in a cell can be determined according to the relevant communication protocol. Cell coverage can be defined as the percentage of locations within the cell that receive signal power exceeding a given minimum threshold. The average coverage level of the cell can be obtained through measurements by the base station.

[0172] The first, second, or third threshold values ​​can be determined according to system requirements, and no specific restrictions are imposed here.

[0173] For example, assuming the target site is a macro cell, the statistics of cell coverage relationships with macro cells are shown in Table 6.

[0174] Table 6

[0175]

[0176] If the target building simultaneously meets the following first preset condition:

[0177] 1. The number of remaining macro sites that can provide network services is greater than or equal to 2;

[0178] As shown in the table above, eNB IDs B, C, and D respectively indicate that the number of macro sites is 3.

[0179] 2. The number of cell sampling points corresponding to the target macro station is greater than the first threshold value;

[0180] 3. The average coverage level of the cell corresponding to the target macro base station is greater than or equal to the second threshold value, which can be -95dBm; or the coverage rate of the cell is greater than the third threshold value, which can be 90%.

[0181] If all of the above conditions are met, the target building meets the conditions for the next step of the evaluation; otherwise, the target building does not meet the conditions for outdoor demolition.

[0182] The outdoor distributed cell analysis method provided in this application accurately assesses the coverage of the target site to the target building by simulating and eliminating the outdoor distributed cells to be analyzed, and setting a first preset condition based on the cell coverage relationship corresponding to the target site.

[0183] In one embodiment, determining whether a cell coverage structure is reasonable includes:

[0184] Based on the center latitude and longitude of the target building, establish a coordinate system corresponding to the target building. The horizontal axis of the coordinate system points due east, and the vertical axis of the coordinate system points due north.

[0185] Based on the coordinate system, determine whether the target station meets the third preset condition. The third preset condition is that there is at least one target station in the first or fourth quadrant of the coordinate system, and at least one target station in the second or third quadrant.

[0186] If the target site meets the third preset condition, the orientation angle of the target site is determined based on the center point of the target building, the center point of the target site, and the orientation angle of the community corresponding to the target site.

[0187] If the orientation angle does not exceed the orientation angle threshold, the cell coverage structure is determined to be reasonable.

[0188] It should be noted that the coordinate system corresponding to the target building is a coordinate system with the center point of the target building as the origin. The horizontal axis of the coordinate system points due east, and the vertical axis points due north.

[0189] Based on the center latitude and longitude of the target building, the coordinate system is divided into four quadrants with due north at 0°: (0°, 90°] represents the first quadrant, (90°, 180°] represents the second quadrant, (180°, 270°] represents the third quadrant, and (270°, 360°] represents the fourth quadrant. The quadrant to which the target site belongs can be determined based on the center latitude and longitude of the target site.

[0190] like Figure 5 As shown, macro station B belongs to the first quadrant, macro station C belongs to the third quadrant, and macro station D belongs to the fourth quadrant.

[0191] Based on the north-south orientation of the projected rectangles of residential buildings, a third preset condition can be required for target sites to meet: at least one target site must be located in either the first or fourth quadrant, and at least one target site must be located in either the second or third quadrant. Otherwise, the target building is considered to lack a reasonable community coverage structure. For example... Figure 5 As shown, the target building meets the third preset condition.

[0192] If the target site meets the third preset condition, it is necessary to determine the orientation angle of the target site.

[0193] The line connecting the center point of each target site to the center point of the target building is taken as the azimuth angle relative to 0°, called the "site-building orientation angle". The angle between the angle bisector of the azimuth angle of each area of ​​the target site and the line corresponding to the "site-building orientation angle" is calculated, and this angle is determined as the orientation angle. The absolute value α of the orientation angle ranges from [0°, 180°].

[0194] You can also set an orientation angle threshold for the orientation angle α. For example, if the orientation angle threshold is 30°, then you can define that the target site with an orientation angle α≤30° has a reasonable cell coverage structure, that is, the cell corresponding to the target site can effectively cover the building.

[0195] Understandably, it is permissible to require that at least one target site in the first or fourth quadrant has a reasonable cell coverage structure, and at least one target site in the second or third quadrant also has a reasonable cell coverage structure. That is, at least one cell in the first or fourth quadrant can effectively cover the target building, and at least one cell in the second or third quadrant can effectively cover the target building.

[0196] The outdoor distributed cell analysis method provided in this application improves the accuracy of cell coverage structure rationality judgment by evaluating the rationality of the cell coverage structure of the target site.

[0197] In one embodiment, determining the target capacity metric for a target site includes:

[0198] In the case of simulating the dismantling of base stations corresponding to outdoor distributed cells to be analyzed, the target incremental prediction model corresponding to the target capacity index is determined based on the sample data corresponding to the target capacity index.

[0199] Based on the target increment prediction model, the target increment corresponding to the target capacity index within the target time period is determined.

[0200] Based on the target increment, determine the target capacity index.

[0201] In actual implementation, after a period of time following the simulation removal of micro base stations corresponding to outdoor distributed cells to be analyzed, the target capacity index of the target site can be predicted, and it is also necessary to determine whether the predicted target capacity index meets the second preset condition.

[0202] The target capacity index for prediction is determined based on the data dimensions of the preset regional scope, and implemented in the following manner:

[0203] As shown in Table 7, the property site ID is 227360, and the micro base station cells that can be dismantled are G and H. The high load of the three cells A, B, and C, which account for more than 20% of the total number of sampling points in the entire property site, is predicted to determine the target capacity index.

[0204] Table 7

[0205]

[0206]

[0207] Historical daily granularity coverage, interference, capacity, and traffic volume targets for cells A, B, and C can be extracted, as shown in the following three tables. It is understood that Tables 8, 9, and 10 contain the target capacity targets corresponding to the same ECI.

[0208] Table 8 includes the following metrics: ECI, time, band, frequency band, number of sampling points, average coverage level, coverage rate, average uplink signal-to-interference-plus-noise ratio (SINR), and average interference level.

[0209] Table 9 includes the following metrics: ECI, time, Radio Resource Control (RRC) connected users, packet types (large, medium, and small), uplink traffic, and downlink traffic.

[0210] Table 10 includes the following indicators: ECI, time, uplink traffic volume, downlink traffic volume, number of calls, uplink PRB utilization rate, and downlink PRB utilization rate.

[0211] Table 8

[0212]

[0213] Table 9

[0214]

[0215]

[0216] Table 10

[0217]

[0218] Step 1: Based on the sample data corresponding to the capacity indicators, establish a target increment prediction model for the target capacity indicators. The sample data are the target capacity indicators at the historical daily granularity, such as the target capacity indicator data of cells A, B, and C in Tables 1, 2, and 3.

[0219] In practice, an n-variable fitting function is used:

[0220] f(y) = y + Δ(w1x1 + w2x2 + ... + w n x n +b).

[0221] The increment Δ is affected by six variables: the cell's frequency band, number of sampling points, number of RRC connected users, total traffic, total call volume, and number of calls.

[0222] The slope and error value parameters of each indicator can be represented by a loss function:

[0223]

[0224] To determine the parameters of each metric, gradient descent is introduced, and training is performed by calculating the partial derivatives.

[0225] confirm At that time, the parameter value w can be determined.

[0226] J is the learning rate, also called the step size. This formula means that we first determine an initial value for w, then use the above formula to calculate a new value for w, and iterate repeatedly. We continuously update the value of the parameter w until the loss function j reaches its minimum value, at which point we stop iterating.

[0227] Since the number of sampling points for the target site changed after the outdoor distributed cells to be analyzed were removed in the simulation, the incremental model of the sampling point change on the RRC connected users, total traffic, total call volume and call count indicators was first trained.

[0228] Then, train models f(y1), f(y2), f(y3), and f(y4) for target capacity indicators such as uplink utilization PUSCH, downlink utilization PDSCH / PDCCH, uplink PRB utilization, and downlink PRB utilization within the target time period at the cell level.

[0229] In this embodiment, the evaluation statistics of the target incremental prediction model adopt the gradient descent method, combined with the loss function to compare the difference between the predicted value and the actual value, and finally output the predicted peak raster modeling data.

[0230] The second step: Based on the target increment prediction model, the target increment corresponding to the target capacity indicator within the target time period can be determined.

[0231] Then, the number of sampling points of the outdoor distributed cells G and H to be analyzed that are to be demolished is substituted into the target increment prediction model to calculate the target increment of target capacity indicators such as uplink utilization PUSCH, downlink utilization PDSCH / PDCCH, uplink PRB utilization, and downlink PRB utilization within the target time period.

[0232] Step 3: Determine the target capacity index based on the target increment. Overlay the increment with the peak value on the day of demolition to determine the corresponding value of the target capacity index. Then, determine whether the target capacity index exceeds the high load threshold, i.e., whether the second preset condition is met, and return the load forecast result.

[0233] Based on the load forecast results, the target capacity index is determined to meet the following second preset condition:

[0234] At least one of the following conditions must be met: uplink PUSCH utilization ≥ 40% and downlink PDSCH / PDCCH utilization ≥ 40%; or at least one of the following conditions must be met: uplink PRB utilization reaches 50% or downlink PRB utilization reaches 50%. Then it can be determined whether cells G and H meet the conditions for simultaneous load removal and reuse, or whether individual cell load removal meets the conditions.

[0235] Specifically, if cells G and H are demolished simultaneously, prediction training can be performed based on the sum of the sampling points of G and H. If the target capacity index of the predicted cells simultaneously meets the second preset condition, the condition for simultaneous outdoor demolition is met. If the second preset condition is not met, prediction training can be performed separately based on the number of sampling points of G or H, and it can be determined whether the above second preset condition is met simultaneously.

[0236] The outdoor distributed cell analysis method provided in this application can quickly predict target capacity indicators by constructing a target increment prediction model, thereby improving analysis efficiency.

[0237] The outdoor distributed cell analysis device provided in the embodiments of this application is described below. The outdoor distributed cell analysis device described below can be referred to in correspondence with the outdoor distributed cell analysis method described above.

[0238] Figure 6 This is a schematic diagram of the outdoor distributed cell analysis device provided in an embodiment of this application. (Refer to...) Figure 6 This application provides an outdoor distributed cell analysis device, comprising:

[0239] The acquisition module 610 is used to acquire information on the number of target sites corresponding to target buildings in the outdoor distributed community to be analyzed, the cell parameters of the target sites, the cell coverage structure of the target sites, and the target capacity index of the target sites.

[0240] Analysis module 620 is used to analyze whether the outdoor distributed cell to be analyzed meets the outdoor distribution removal conditions based on the quantity information, the cell parameters, the cell coverage structure and the target capacity index.

[0241] The outdoor distributed cell analysis device provided in this application embodiment can determine the target outdoor distributed cell that meets the conditions for outdoor distributed cell removal based on the number of target sites corresponding to the target buildings in the outdoor distributed cell to be analyzed, cell parameters, cell coverage structure and target capacity indicators, so as to achieve comprehensive evaluation and accurate positioning of the outdoor distributed cell.

[0242] In one embodiment, the analysis module 620 is further configured to:

[0243] Based on the quantity information and the cell parameters, it is determined whether the target site meets the first preset condition;

[0244] If the target site meets the first preset condition, determine whether the cell coverage structure is reasonable;

[0245] Given a reasonable cell coverage structure, the target capacity index is determined.

[0246] If the target capacity index meets the second preset condition, analyze whether the outdoor distributed cell to be analyzed meets the outdoor distributed cell removal condition.

[0247] In one embodiment, the apparatus further includes:

[0248] The first determining module is used to perform rasterization processing on the target geographical location of the target building and determine the target raster corresponding to the target building.

[0249] The second determining module is used to determine the quantity information and the cell parameters based on the correlation between the original MRO data in the user measurement report and the target grid, as well as the aggregation relationship between the target building and the target grid.

[0250] The cell parameters include: the number of sampling points of the cell corresponding to the target site, the average coverage level of the cell corresponding to the target site, and the coverage rate of the cell corresponding to the target site.

[0251] In one embodiment, the first preset condition includes:

[0252] The quantity information is greater than or equal to 2;

[0253] The number of sampling points is greater than the first threshold value;

[0254] The average coverage level is greater than or equal to the second threshold or the coverage rate is greater than the third threshold.

[0255] In one embodiment, the analysis module 620 is further configured to:

[0256] Based on the center latitude and longitude of the target building, a coordinate system corresponding to the target building is established, with the horizontal axis of the coordinate system pointing due east and the vertical axis pointing due north.

[0257] Based on the coordinate system, it is determined whether the target station meets the third preset condition. The third preset condition is that there is at least one target station in the first or fourth quadrant of the coordinate system, and at least one target station in the second or third quadrant.

[0258] If the target site meets the third preset condition, the orientation angle of the target site is determined based on the center point of the target building, the center point of the target site, and the orientation angle of the community corresponding to the target site.

[0259] If the orientation angle does not exceed the orientation angle threshold, the cell coverage structure is determined to be reasonable.

[0260] In one embodiment, the analysis module 620 is further configured to:

[0261] In the case of simulating the dismantling of the base station corresponding to the outdoor distributed cell to be analyzed, the target incremental prediction model corresponding to the target capacity index is determined based on the sample data corresponding to the target capacity index.

[0262] Based on the target increment prediction model, the target increment corresponding to the target capacity indicator within the target time period is determined;

[0263] Based on the target increment, the target capacity index is determined.

[0264] In one embodiment, the target capacity metrics include: channel utilization and physical resource block utilization;

[0265] The channel utilization rate includes at least one of the following: uplink shared physical channel utilization rate, downlink shared physical channel utilization rate, and physical downlink control channel utilization rate;

[0266] The physical resource block utilization rate includes at least one of the following:

[0267] Uplink physical resource block utilization and downlink physical resource block utilization.

[0268] Figure 7 An example is a schematic diagram of the physical structure of an electronic device, such as... Figure 7 As shown, the electronic device may include: a processor 710, a communication interface 720, a memory 730, and a communication bus 740, wherein the processor 710, the communication interface 720, and the memory 730 communicate with each other via the communication bus 740. The processor 710 can call a computer program stored in the memory 730 to execute the steps of an outdoor distributed cell analysis method, such as:

[0269] Obtain the number of target sites corresponding to the target buildings in the outdoor distributed community to be analyzed, the cell parameters of the target sites, the cell coverage structure of the target sites, and the target capacity index of the target sites;

[0270] Based on the quantity information, the cell parameters, the cell coverage structure, and the target capacity index, it is analyzed whether the outdoor distributed cell to be analyzed meets the conditions for outdoor distribution removal.

[0271] Furthermore, the logical instructions in the aforementioned memory 730 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0272] On the other hand, this application also provides a computer program product, which includes a computer program that can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can perform the steps of the outdoor distributed cell analysis method provided in the above embodiments, such as including:

[0273] Obtain the number of target sites corresponding to the target buildings in the outdoor distributed community to be analyzed, the cell parameters of the target sites, the cell coverage structure of the target sites, and the target capacity index of the target sites;

[0274] Based on the quantity information, the cell parameters, the cell coverage structure, and the target capacity index, it is analyzed whether the outdoor distributed cell to be analyzed meets the conditions for outdoor distribution removal.

[0275] On the other hand, embodiments of this application also provide a processor-readable storage medium storing a computer program for causing a processor to perform the steps of the methods provided in the above embodiments, such as including:

[0276] Obtain the number of target sites corresponding to the target buildings in the outdoor distributed community to be analyzed, the cell parameters of the target sites, the cell coverage structure of the target sites, and the target capacity index of the target sites;

[0277] Based on the quantity information, the cell parameters, the cell coverage structure, and the target capacity index, it is analyzed whether the outdoor distributed cell to be analyzed meets the conditions for outdoor distribution removal.

[0278] Processor-readable storage media can be any available medium or data storage device that the processor can access, including but not limited to magnetic storage (e.g., floppy disks, hard disks, magnetic tapes, magneto-optical disks (MOs), etc.), optical storage (e.g., CDs, DVDs, BDs, HVDs, etc.), and semiconductor storage (e.g., ROMs, EPROMs, EEPROMs, non-volatile memory (NAND flash), solid-state drives (SSDs)).

[0279] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0280] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., including several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods of various embodiments or some parts of embodiments.

[0281] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application.

Claims

1. A method for analyzing outdoor distributed cell populations, characterized in that, include: Obtain the number of target sites corresponding to the target buildings in the outdoor distributed community to be analyzed, the cell parameters of the target sites, the cell coverage structure of the target sites, and the target capacity index of the target sites; Based on the quantity information, the cell parameters, the cell coverage structure, and the target capacity index, analyze whether the outdoor distributed cell to be analyzed meets the outdoor distribution removal conditions; Analyze whether the outdoor distributed cell to be analyzed meets the conditions for outdoor distribution removal, including determining whether the cell coverage structure is reasonable; The determination of whether the cell coverage structure is reasonable includes: Based on the center latitude and longitude of the target building, a coordinate system corresponding to the target building is established, with the horizontal axis of the coordinate system pointing due east and the vertical axis pointing due north. Based on the coordinate system, it is determined whether the target station meets the third preset condition. The third preset condition is that there is at least one target station in the first or fourth quadrant of the coordinate system, and at least one target station in the second or third quadrant. If the target site meets the third preset condition, the orientation angle of the target site is determined based on the center point of the target building, the center point of the target site, and the orientation angle of the community corresponding to the target site. If the orientation angle does not exceed the orientation angle threshold, the cell coverage structure is determined to be reasonable.

2. The outdoor distribution cell analysis method according to claim 1, characterized in that, The step of analyzing whether the outdoor distributed cells to be analyzed meet the outdoor distribution removal conditions based on the quantity information, the cell parameters, the cell coverage structure, and the target capacity index includes: Based on the quantity information and the cell parameters, it is determined whether the target site meets the first preset condition; If the target site meets the first preset condition, determine whether the cell coverage structure is reasonable; Given a reasonable cell coverage structure, the target capacity index is determined. If the target capacity index meets the second preset condition, analyze whether the outdoor distributed cell to be analyzed meets the outdoor distributed cell removal condition.

3. The outdoor distribution cell analysis method according to claim 2, characterized in that, Before determining whether the target site meets the first preset condition based on the quantity information and the cell parameters, the method further includes: The target geographical location of the target building is rasterized to determine the target raster corresponding to the target building; Based on the correlation between the original MRO data in the user measurement report and the target grid, as well as the aggregation relationship between the target building and the target grid, the quantity information and the cell parameters are determined; The cell parameters include: the number of sampling points of the cell corresponding to the target site, the average coverage level of the cell corresponding to the target site, and the coverage rate of the cell corresponding to the target site.

4. The outdoor distribution cell analysis method according to claim 3, characterized in that, The first preset conditions include: The quantity information is greater than or equal to 2; The number of sampling points is greater than the first threshold value; The average coverage level is greater than or equal to the second threshold or the coverage rate is greater than the third threshold.

5. The outdoor distribution cell analysis method according to claim 2, characterized in that, Determining the target capacity indicator includes: In the case of simulating the dismantling of the base station corresponding to the outdoor distributed cell to be analyzed, the target incremental prediction model corresponding to the target capacity index is determined based on the sample data corresponding to the target capacity index. Based on the target increment prediction model, the target increment corresponding to the target capacity indicator within the target time period is determined; Based on the target increment, the target capacity index is determined.

6. The outdoor distribution cell analysis method according to any one of claims 1-5, characterized in that, The target capacity metrics include: channel utilization and physical resource block utilization; The channel utilization rate includes at least one of the following: uplink shared physical channel utilization rate, downlink shared physical channel utilization rate, and physical downlink control channel utilization rate; The physical resource block utilization rate includes at least one of the following: Uplink physical resource block utilization and downlink physical resource block utilization.

7. An outdoor distributed cell analysis device, characterized in that, include: The acquisition module is used to acquire information on the number of target sites corresponding to target buildings in the outdoor distributed community to be analyzed, the cell parameters of the target sites, the cell coverage structure of the target sites, and the target capacity index of the target sites. The analysis module is used to analyze whether the outdoor distributed cells to be analyzed meet the outdoor distribution removal conditions based on the quantity information, the cell parameters, the cell coverage structure, and the target capacity index; the analysis of whether the outdoor distributed cells to be analyzed meet the outdoor distribution removal conditions includes determining whether the cell coverage structure is reasonable. The analysis module is also used to establish a coordinate system corresponding to the target building based on the center latitude and longitude of the target building, wherein the horizontal axis of the coordinate system points to the due east direction and the vertical axis of the coordinate system points to the due north direction. Based on the coordinate system, it is determined whether the target site meets a third preset condition. The third preset condition is that there is at least one target site in the first or fourth quadrant of the coordinate system, and at least one target site in the second or third quadrant. If the target site meets the third preset condition, the orientation angle of the target site is determined based on the center point of the target building, the center point of the target site, and the orientation angle of the cell corresponding to the target site. If the orientation angle does not exceed the orientation angle threshold, the cell coverage structure is determined to be reasonable.

8. An electronic device comprising a processor and a memory storing a computer program, characterized in that, When the processor executes the computer program, it implements the outdoor distributed cell analysis method according to any one of claims 1 to 6.

9. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements the outdoor distributed cell analysis method according to any one of claims 1 to 6.

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