5G base station site planning method and device

Abstract

The embodiment of the present invention discloses a 5G base station site planning method and device to solve the problem of unreasonable 5G base station site planning at present. The method includes: dividing the area to be planned into a plurality of first grids of specified sizes, determining the business-related data corresponding to each first grid; the business-related data includes at least one of the number of users, user business volume, and user income information; according to the business-related data, determining the business scenario category corresponding to each first grid; according to the number of 4G weak coverage sampling points included in each first grid, and the business scenario category corresponding to each first grid, determining the 4G weak coverage grid in each first grid; clustering each 4G weak coverage grid to obtain a plurality of 4G weak coverage clustering clusters; and performing 5G base station site planning for the area corresponding to each 4G weak coverage clustering cluster. This technical solution makes the 5G base station site planning more reasonable and improves the comprehensiveness of 5G coverage.

Description

Technical Field

[0001] The present invention relates to the field of wireless communication technologies, and in particular to a 5G base station site planning method and device. Background Art

[0002] Currently, 5G (5th Generation Mobile Communication Technology) construction is in full swing around the world, but the sites of 5G base stations are mainly based on the sites of 4G (4th Generation Mobile Communication Technology), that is, 5G base stations are co-located on the sites of 4G base stations. This approach does not take into account the impact of 4G base station coverage holes on 5G base station coverage, making the planning of 5G base station sites unreasonable.

[0003] Therefore, how to make the 5G base station site planning more reasonable has become an urgent problem to be solved in this field. Summary of the invention

[0004] The embodiments of the present invention provide a 5G base station site planning method and device to solve the problem of unreasonable 5G base station site planning at present.

[0005] To solve the above technical problems, the embodiments of the present invention are implemented as follows:

[0006] In a first aspect, an embodiment of the present invention provides a 5G base station site planning method, including:

[0007] Divide the area to be planned into a plurality of first grids of specified sizes, and determine the business-related data corresponding to each of the first grids; the business-related data includes at least one of the number of users, user business volume, and user income information;

[0008] Determining, according to the business association data, business scenario categories corresponding to the first grids;

[0009] Determine the 4G weak coverage grids in each of the first grids according to the number of 4G weak coverage sampling points included in each of the first grids and the service scenario categories respectively corresponding to each of the first grids;

[0010] Cluster the 4G weak coverage grids to obtain multiple 4G weak coverage clusters; and perform 5G base station site planning for the areas corresponding to the 4G weak coverage clusters.

[0011] In a second aspect, an embodiment of the present invention further provides a 5G base station site planning device, including:

[0012] A division and determination module, used to divide the area to be planned into a plurality of first grids of a specified size, and determine the business-related data corresponding to each of the first grids; the business-related data includes at least one of the number of users, the user business volume, and the user income information;

[0013] A first determination module, configured to determine the business scenario categories corresponding to the first grids according to the business association data;

[0014] A second determination module is used to determine the 4G weak coverage grid in each of the first grids according to the number of 4G weak coverage sampling points included in each of the first grids and the business scenario categories corresponding to each of the first grids;

[0015] The clustering and planning module is used to cluster the 4G weak coverage grids to obtain multiple 4G weak coverage clusters; and to plan 5G base station sites for the areas corresponding to the 4G weak coverage clusters.

[0016] In a third aspect, an embodiment of the present invention further provides a 5G base station site planning device, including:

[0017] a memory storing computer program instructions;

[0018] A processor, when the computer program instructions are executed by the processor, implements the 5G base station site planning method as described in the first aspect above.

[0019] In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium includes instructions, and when the instructions are executed on a computer, the computer executes the 5G base station site planning method as described in the first aspect above.

[0020] In an embodiment of the present invention, by dividing the area to be planned into a plurality of first grids of a specified size, determining the business association data corresponding to each first grid, determining the business scenario category corresponding to each first grid according to the business association data, and determining the 4G weak coverage grid in each first grid according to the number of 4G weak coverage sampling points included in each first grid and the business scenario category corresponding to each first grid, clustering each 4G weak coverage grid to obtain a plurality of 4G weak coverage clustering clusters, and performing 5G base station site planning for the area corresponding to each 4G weak coverage clustering cluster. It can be seen that the technical scheme can determine the 4G weak coverage grid in the area to be planned, and carry out 5G base station site planning for the 4G weak coverage area corresponding to the 4G weak coverage grid in a targeted manner. Compared with the traditional method of co-locating a 5G base station on a 4G base station site, it can avoid the influence of 4G coverage holes (i.e., 4G weak coverage grids) on 5G coverage, making the 5G base station site planning more reasonable and improving the comprehensiveness of 5G coverage. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0022] Figure 1 It is a schematic flowchart of a 5G base station site planning method in an embodiment of the present invention.

[0023] Figure 2 It is a schematic diagram of a 4G weak coverage cluster in an embodiment of the present invention.

[0024] Figure 3 It is a schematic diagram of the positional relationship between a base station coverage capability range and a 4G weak coverage cluster in an embodiment of the present invention.

[0025] Figure 4 It is a schematic flowchart of a 5G base station site planning method in another embodiment of the present invention.

[0026] Figure 5 It is a structural schematic diagram of a 5G base station site planning device in an embodiment of the present invention.

[0027] Figure 6 It is a structural diagram of a 5G base station site planning device in an embodiment of the present invention. DETAILED DESCRIPTION

[0028] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0029] Figure 1 is a schematic flow chart of a 5G base station site planning method in an embodiment of the present invention, Figure 1 Methods may include:

[0030] S102: Divide the area to be planned into a plurality of first grids of a specified size, and determine the business-related data corresponding to each first grid.

[0031] Among them, the area to be planned is the area where 5G base station site planning is required. The area to be planned can be rasterized to divide the area to be planned into multiple first grids of specified sizes. According to the specific area to be planned, when rasterizing it, the size of the first grid can be set. For example, if the size of the first grid is set to 50 meters (length) × 50 meters (width), after rasterizing the area to be planned, multiple 50 meters × 50 meters first grids can be obtained.

[0032] Business-related data may include the number of users, user business volume, user income information, etc. User business volume may include the total business volume of each user and the business volume of each user. User business volume may be the user's traffic usage, the number of business transactions handled by the user, etc. User income information may be the user's ARPU (Average Revenue Per User, average revenue per user) value.

[0033] S104: Determine the business scenario categories corresponding to the first grids according to the business association data.

[0034] S106: Determine the 4G weak coverage grids in each first grid according to the number of 4G weak coverage sampling points included in each first grid and the service scenario categories corresponding to each first grid.

[0035] The 4G weak coverage sampling point may be a MR (measuring report) weak coverage sampling point in a 4G network, and the number of the 4G weak coverage sampling points may be obtained based on statistics of existing network data.

[0036] S108, clustering each 4G weak coverage grid to obtain multiple 4G weak coverage clusters; and performing 5G base station site planning for the area corresponding to each 4G weak coverage cluster.

[0037] In an embodiment of the present invention, by dividing the area to be planned into a plurality of first grids of a specified size, determining the business association data corresponding to each first grid, determining the business scenario category corresponding to each first grid according to the business association data, and determining the 4G weak coverage grid in each first grid according to the number of 4G weak coverage sampling points included in each first grid and the business scenario category corresponding to each first grid, clustering each 4G weak coverage grid to obtain a plurality of 4G weak coverage clustering clusters, and performing 5G base station site planning for the area corresponding to each 4G weak coverage clustering cluster. It can be seen that the technical scheme can determine the 4G weak coverage grid in the area to be planned, and carry out 5G base station site planning for the 4G weak coverage area corresponding to the 4G weak coverage grid in a targeted manner. Compared with the traditional method of co-locating a 5G base station on a 4G base station site, it can avoid the influence of 4G coverage holes (i.e., 4G weak coverage grids) on 5G coverage, making the 5G base station site planning more reasonable and improving the comprehensiveness of 5G coverage.

[0038] In one embodiment, when executing S104, multiple central grids in each first grid can be first determined, and then the similarity between each first grid and each central grid is calculated based on the business association data corresponding to each first grid, and the business scenario category corresponding to each first grid is determined based on the similarity.

[0039] Among them, the determination method of multiple central grids can be randomly initialized, and each central grid corresponds to a different business scenario category. The number of central grids can be determined according to the specific area to be planned. It should be understood that for the same area to be planned, the more central grids there are, the lower the efficiency of 5G base station site planning in the area.

[0040] When calculating the similarity between each first grid and each central grid, the Minkowski distance (abbreviated as Minkowski distance) can be used to calculate the dissimilarity between each first grid and each central grid, and the business scenario category corresponding to the central grid with the lowest dissimilarity with the first grid can be determined as the business scenario category corresponding to the first grid. The formula is as follows:

[0041]

[0042] Among them, d represents the Ming distance, a k is the business-related data corresponding to each first grid, b kis the business-related data corresponding to the central grid, and k is the number of business-related data corresponding to each first grid. Formula (1) is schematically illustrated by taking 3 business-related data as an example. If the number of business-related data corresponding to each first grid in the current area to be planned is other values ​​(such as 1, 2, 4...), then replace 3 in formula (1) with other values ​​(such as 1, 2, 4...). p is a variable parameter. When p is equal to 1, the Minkowski distance is the Manhattan distance; when p is equal to 2, the Minkowski distance is the Euclidean distance; when p is equal to infinity, the Minkowski distance is the Chebyshev distance. It should be understood that for the same area to be planned, when calculating the dissimilarity between each first grid and each central grid, the value of p should be consistent.

[0043] For example, the business-related data corresponding to each first grid includes the number of users, the user's traffic usage and the user's income information. Then, when calculating the similarity between each first grid and each central grid, the similarity between each first grid and each central grid can be calculated based on all the business-related data, that is, the above formula (1) is applied to calculate the dissimilarity between each first grid and each central grid. Alternatively, only part of the business-related data can be used, that is, after replacing 3 in the above formula (1) with 1 or 2, the dissimilarity between each first grid and each central grid is calculated.

[0044] Optionally, in this embodiment, a K-means clustering algorithm may be used to determine the business scenario categories corresponding to each first grid. The specific process includes the following steps A1-A4:

[0045] Step A1, initialize K center grids.

[0046] Among them, the K center grids correspond to K business scenario categories respectively.

[0047] Step A2: according to the business association data corresponding to each first grid, the dissimilarity between each first grid and K central grids is calculated by using the Ming distance, and they are classified according to the principle of minimum dissimilarity.

[0048] Among them, classification is performed according to the principle of minimum dissimilarity, that is, for any first grid, the business scenario category corresponding to the central grid with the lowest dissimilarity with the first grid is determined as the business scenario category corresponding to the first grid.

[0049] Step A3: re-determine K center grids based on the classification results.

[0050] The classification result is the business scenario category corresponding to each first grid obtained after executing step A1 to step A2 once. When re-determining the K center grids, for any business scenario category, the position of each first grid corresponding to the business scenario category in the area to be planned can be first determined, and then the center grid of the business scenario category can be determined based on the position of each first grid. In this step, by re-determining the K center grids, it is beneficial to test and reclassify the business scenario categories corresponding to each first grid in the subsequent steps.

[0051] Step A4, executing steps A2 to A3 again until the classification result does not change, and determining the business scenario categories corresponding to the first grids.

[0052] In this step, by classifying the first grids multiple times, not only the accuracy of the previous classification can be verified, but also the business scenario categories corresponding to the first grids can be determined more accurately.

[0053] In this embodiment, by calculating the similarity between each first grid and each predetermined central grid according to the business association data corresponding to each first grid, and determining the business scenario category corresponding to each first grid according to the similarity, the effect of dividing each first grid according to the business scenario category is achieved, which is conducive to the subsequent targeted 5G base station site planning for different business scenario categories, and improves the rationality of 5G base station site planning. It should be understood that the business and benefit level of each business scenario category can be determined according to the business association data corresponding to each first grid. The higher the business and benefit scenario, the higher the 5G base station site density.

[0054] Among them, for any business scenario category, each first grid corresponding to the business scenario category can be determined, and the sum or average value of the business-related data corresponding to each first grid can be counted, so as to determine the business and benefit of the business scenario category. Referring to the K business scenario categories listed in the above K-means clustering algorithm, by determining the business and benefit of the K business scenario categories, the business and benefit of each business scenario category in the area to be planned can be determined.

[0055] For example, the business-related data includes the number of users, the traffic usage of users, and the user income information, and K is 2, that is, the area to be planned includes the first business scenario category and the second business scenario category. Assuming that the first business scenario category corresponds to two first grids, after counting the sum of the business-related data corresponding to the two first grids, the number of users is 3, the traffic usage of users is 150 megabytes, and the user income information is 150 yuan, then the business and benefit of the first business scenario category can be determined as 3 users, 150 megabytes of traffic, and 150 yuan of income. Assuming that the second business scenario category corresponds to three first grids, after counting the sum of the business-related data corresponding to the three first grids, the number of users is 10, the traffic usage of users is 100 megabytes, and the user income information is 100 yuan, then the business and benefit of the second business scenario category can be determined as 10 users, 100 megabytes of traffic, and 100 yuan of income. According to the business and benefit of the two business scenario categories determined, it can be determined that the business and benefit of the first business scenario category in the area to be planned are higher, and the business and benefit of the second business scenario category are lower.

[0056] For another example, the business-related data includes the number of users, the traffic usage of users, and the user income information, and K is 2, that is, the area to be planned includes the third business scenario category and the fourth business scenario category. Assuming that the third business scenario category corresponds to two first grids, after counting the average values ​​of the business-related data corresponding to the two first grids, the number of users is 6, the traffic usage of users is 220 megabytes, and the user income information is 120 yuan, then the business and benefit of the third business scenario category can be determined as 6 users, 220 megabytes of traffic, and 120 yuan of income. Assuming that the fourth business scenario category corresponds to three first grids, after counting the average values ​​of the business-related data corresponding to the three first grids, the number of users is 50, the traffic usage of users is 300 megabytes, and the user income information is 110 yuan, then the business and benefit of the fourth business scenario category can be determined as 50 users, 300 megabytes of traffic, and 110 yuan of income. According to the business and benefit conditions of the two business scenario categories determined, it can be determined that the business and benefit of the third business scenario category in the area to be planned are higher, and the business and benefit of the fourth business scenario category are lower.

[0057] In one embodiment, according to the number of 4G weak coverage sampling points included in each first grid and the service scenario category corresponding to each first grid, the 4G weak coverage grid in each first grid is determined, which can be specifically performed as follows: steps B1-B3:

[0058] Step B1, determining the aggregation threshold corresponding to each service scenario category according to the number of 4G weak coverage sampling points included in each first grid.

[0059] The aggregation threshold may be a threshold value for the number of 4G weak coverage sampling points. When determining the aggregation thresholds corresponding to each service scenario category, the average value of the number of 4G weak coverage sampling points included in each first grid corresponding to each service scenario category may be taken, or a reasonable value thereof may be taken based on experience, and the present invention does not limit this.

[0060] Step B2: for any first grid, determine whether the number of 4G weak coverage sampling points included in the first grid is greater than or equal to the aggregation threshold corresponding to the first grid.

[0061] Step B3: If the number of 4G weak coverage sampling points included in the first grid is greater than or equal to the aggregation threshold corresponding to the first grid, determine that the first grid is a 4G weak coverage grid.

[0062] In this embodiment, by determining the 4G weak coverage grids in each first grid according to the number of 4G weak coverage sampling points included in each first grid and the business scenario categories corresponding to each first grid, the effect of determining the 4G weak coverage grids corresponding to each business scenario category is achieved, which is conducive to the subsequent targeted 5G base station site planning for the 4G weak coverage grids corresponding to each business scenario category, and improves the rationality of 5G base station site planning.

[0063] In one embodiment, the CLIQUE algorithm (Clustering In QUEst, a grid-based spatial clustering algorithm) can be used to determine the 4G weak coverage grids in each first grid according to the number of 4G weak coverage sampling points included in each first grid and the business scenario categories corresponding to each first grid, and cluster each 4G weak coverage grid to obtain multiple 4G weak coverage clusters. Referring to the K business scenario categories listed in the above K-means clustering algorithm, the CLIQUE algorithm can be specifically executed as follows: Steps C1-C10:

[0064] Step C1, counting the number of 4G weak coverage sampling points included in each first grid, and determining the aggregation threshold γ of the 4G weak coverage sampling points corresponding to each business scenario category in combination with the business scenario category corresponding to each first grid i (The value of i is an integer from 1 to K). And the initial state of each first grid is preset as "unprocessed" (that is, each first grid is marked as "unprocessed").

[0065] Step C2: for any business scenario category, traverse each first grid to determine whether the current first grid has an "unprocessed" mark. If not, determine the next first grid; if yes, execute steps C3 to C8 until all first grids corresponding to the business scenario category are traversed.

[0066] Step C3, mark the current first grid as "processed", determine whether the number of 4G weak coverage sampling points included in the current first grid is greater than or equal to the aggregation threshold corresponding to the current first grid, if so, determine that the current first grid is a dense grid (ie, a 4G weak coverage grid), and execute step C4; if not, determine that the current first grid is a non-dense grid, and return to execute step C2, and continue to traverse the first grids corresponding to the business scenario category.

[0067] In step C4, a cluster tag is assigned to the dense grid, a queue is created, and the dense grid is placed at the top of the queue.

[0068] Step C5, determine whether the queue is empty. If the queue is empty, return to step C2 and continue to traverse the first grids corresponding to the business scenario category; if the queue is not empty, execute steps C6 to C7.

[0069] Step C6, taking out the dense grid at the top of the queue, and determining the first grid with an "unprocessed" mark adjacent to the dense grid.

[0070] Step C7, change the mark of the first grid to "processed", and determine whether the first grid adjacent to the dense grid is a dense grid. If so, assign the first grid the same cluster mark as the dense grid, add the first grid to the queue, and return to step C5; if not, return to step C2 and continue to traverse the first grids corresponding to the business scenario category.

[0071] Step C8, when the traversal of each first grid corresponding to the business scenario category is completed, the 4G weak coverage grids with the same cluster mark are clustered to obtain a 4G weak coverage cluster cluster.

[0072] Step C9, returning to step C2, traversing each first grid corresponding to the next business scenario category.

[0073] Step C10 ends when the first grid traversal corresponding to K business scenario categories is completed, and multiple 4G weak coverage clusters are obtained.

[0074] In this embodiment, by determining the 4G weak coverage grids in each first grid according to the number of 4G weak coverage sampling points included in each first grid and the business scenario categories corresponding to each first grid, and clustering each 4G weak coverage grid to obtain multiple 4G weak coverage clustering clusters, the effect of clustering the 4G weak coverage grids corresponding to each business scenario category into 4G weak coverage clustering clusters is achieved, which is conducive to the subsequent targeted 5G base station site planning for the 4G weak coverage clustering clusters corresponding to each business scenario category, and improves the rationality of 5G base station site planning.

[0075] In one embodiment, 5G base station site planning may be performed for the area corresponding to each 4G weak coverage cluster according to the following steps D1-D3.

[0076] Step D1, determining the cluster categories corresponding to each 4G weak coverage cluster.

[0077] Among them, the cluster categories may include single-station omnidirectional coverage clusters, multi-station omnidirectional coverage clusters, directional coverage clusters, etc.

[0078] Step D2, according to the cluster category and the preset 5G base station site planning method for each cluster category, determine the 5G base station site planning method corresponding to each 4G weak coverage cluster.

[0079] Step D3: According to the 5G base station site planning method, 5G base station site planning is performed for the areas corresponding to each 4G weak coverage cluster.

[0080] In this embodiment, by determining the cluster category corresponding to the 4G weak coverage cluster, 5G base station site planning can be performed for the area corresponding to the 4G weak coverage cluster according to the 5G base station site planning method of the cluster category, thereby improving the rationality of the 5G base station site planning.

[0081] In one embodiment, when executing step D1, the base station coverage capability radius corresponding to the service scenario category corresponding to each 4G weak coverage cluster cluster can be first determined, and the cluster radius of each 4G weak coverage cluster cluster can be determined. Then, according to the base station coverage capability radius and the cluster radius, the cluster category corresponding to each 4G weak coverage cluster cluster is determined.

[0082] Among them, when determining the cluster radius of each 4G weak coverage cluster, the longitude and latitude of each edge point of each 4G weak coverage cluster can be determined first, and then the longitude and latitude of the center point and the cluster radius (the distance from the center point to the edge point) can be calculated based on the longitude and latitude of each edge point.

[0083] For example, for any 4G weak coverage cluster, determine the upper boundary, lower boundary, left boundary and right boundary of the 4G weak coverage cluster to form a corresponding polygonal bounding box. Take the 4G weak coverage cluster of the rectangular bounding box as an example, Figure 2 As shown, the upper boundary corresponds to latitude y 1 , the lower boundary corresponds to latitude y 2 , the left boundary corresponds to longitude x 1 , the right border corresponds to longitude x 2 , then the longitude and latitude of the center point (x 0 ,y 0 ) and cluster radius r, where 111000 in formula (2) is in meters,

[0084]

[0085] Among them, referring to the K business scenario categories listed in the above K-means clustering algorithm, the base station coverage capability radius corresponding to the business scenario category can be defined as d i , where i ranges from 1 to K. For the i-th service scenario category, according to the base station coverage radius d i And the cluster radius r, the cluster category corresponding to each 4G weak coverage cluster can be determined.

[0086] Specifically, if Then the cluster category of the 4G weak coverage cluster is a directional coverage cluster. The cluster type of the 4G weak coverage cluster is a single-station omnidirectional coverage cluster. i <cluster radius r, then the cluster category of the 4G weak coverage cluster is a multi-station omnidirectional coverage cluster.

[0087] Figure 3 The figure schematically shows the positional relationship between the base station coverage range and the 4G weak coverage clusters of each cluster category. The outer circles of 3-1 and 3-2 are the base station coverage ranges, with the center of the circle being the base station. i is the base station coverage radius. The inner circle of 3-1 is the directional coverage cluster, and the inner circle of 3-2 is the single-station omnidirectional coverage cluster. In 3-1, only one cell (120°) of the base station is needed to complete the coverage of the 4G weak coverage cluster. In 3-2, three cells (360°) of the base station are needed to complete the coverage of the 4G weak coverage cluster. The inner circle of 3-3 is the base station coverage range, with the base station at the center. i is the coverage radius of the base station, the outer circle is the multi-station omnidirectional coverage cluster, and in 3-3, three cells (360°) of multiple base stations are required to complete the coverage of the 4G weak coverage cluster.

[0088] In this embodiment, the clustering cluster category corresponding to each 4G weak coverage cluster is determined by the base station coverage capability radius corresponding to the business scenario category and the cluster radius of the 4G weak coverage cluster, so that the determined clustering cluster category is more accurate, thereby making the 5G base station site planning for the area corresponding to the 4G weak coverage cluster more accurate.

[0089] In one embodiment, when the cluster type of the 4G weak coverage cluster is a directional coverage cluster, step D3 may be specifically performed as follows: steps D311-D313:

[0090] Step D311, determining the first center point of the first area where the 4G weak coverage sampling points are most concentrated in the directional coverage cluster; and determining the first edge point farthest from the first center point in the directional coverage cluster.

[0091] DBSCAN (Density-Based Spatial Clustering of Applications with Noise) can be used to determine the first area where the 4G weak coverage sampling points are most concentrated in the directional coverage cluster, and the first center point of the first area (denoted as A) can be calculated according to the above formula (2). 1 The longitude and latitude of the point.

[0092] Step D312, determining the 5G base station site in the area corresponding to the directional coverage cluster according to the first center point and the first edge point.

[0093] Among them, the A calculated in step D311 can be 1 The point is connected to the first edge point of the directional coverage cluster (denoted as point G) into a straight line. The normal direction of the straight line is the direction of the 5G base station. The distance on the normal line is A. 1 point

[0094] Step D313, determine the radiation direction angle and radiation width of the 5G base station based on the first center point and the 5G base station site.

[0095] It should be noted that the use of Massive MIMO (massive multiple input multiple output) antennas is one of the main features of 5G. It can realize beamforming, form extremely accurate user-level ultra-narrow beams, and direct energy to the user's location, which varies with the user's location. Compared with traditional wide-beam antennas such as 4G, it can improve signal coverage and reduce user interference between cells. Massive MIMO antenna beams are divided into static beams and dynamic beams. According to this step, the existing network data can be used to reasonably plan the 5G static beams and achieve centralized coverage of users (that is, determine the radiation direction angle of the 5G base station and the radiation width of the 5G base station).

[0096] Among them, A can be determined according to the above steps D311-D312 1 Dot and O 1 Point, calculate A 1 Point relative to O 1 The direction angle of the point α 1 (i.e. the radiation angle of the 5G base station), O 1 Point and A 1The line between the points is the center normal of the first area where the 4G weak coverage sampling points are most concentrated in the directional coverage cluster. Take the specified angle (set according to the specific area to be planned, such as 5°, 10°, etc.) as the unit, find the angle containing 50% of the 4G weak coverage sampling points on both sides of the center normal, which is defined as the beam width β 1 (β should be less than 110°), β 1 This is the radiation width of the 5G base station. According to the calculated direction angle α 1 and beam width β 1 The matching beam weight table can automatically generate the most suitable beam weight.

[0097] In this embodiment, 5G base station sites are planned in the first area where 4G weak coverage sampling points are most concentrated in the directional coverage cluster, and based on the current 5G beam weight table and the determined radiation direction angle of the 5G base station and the radiation width of the 5G base station, the direction angle and beam width of different cells of the 5G base station are reasonably planned to achieve coverage of dense users.

[0098] In one embodiment, when the cluster type of the 4G weak coverage cluster is a single-station omnidirectional coverage cluster, step D3 may be specifically performed as follows: steps D321-D323:

[0099] Step D321, determine the centroid position of the area corresponding to the single-station omnidirectional coverage cluster; based on the centroid position, determine the 5G base station site in the area corresponding to the single-station omnidirectional coverage cluster.

[0100] The DBSCAN algorithm can be used to first determine multiple areas in the single-station omnidirectional coverage cluster where the density of 4G weak coverage sampling points is greater than a preset density threshold, and the center points of the multiple areas are calculated according to the above formula (2). Then, the center of mass solution algorithm is used for the polygon surrounded by the center points of the multiple areas to calculate the center of mass position of the dense area in the single-station omnidirectional coverage cluster (denoted as O 2 Point), O 2 The dot is the site of the 5G base station.

[0101] Step D322, determining the second center point of the second area where the 4G weak coverage sampling points are most concentrated in the single-station omnidirectional coverage cluster.

[0102] The second center point (denoted as A) of the second area where the 4G weak coverage sampling points are most concentrated in the single-station omnidirectional coverage cluster can be determined according to the center points of the multiple areas calculated in step D321. 2 point).

[0103] Step D323, determine the radiation direction angle and radiation width of the 5G base station based on the second center point and the 5G base station site.

[0104] Among them, A can be determined according to the above steps D321-D322 2 Dot and O 2 Point, calculate A 2 Point relative to O 2 The direction angle of the point α 2 (i.e. the radiation angle of the 5G base station), O 2 Point and A 2 The line between the points is the normal line of the first cell in the second area where the 4G weak coverage sampling points are most concentrated in the single-station omnidirectional coverage cluster. 2 +120°, α 2 +240° are the normal lines of the second cell and the third cell respectively. Take the specified angle (set according to the specific area to be planned, such as 5°, 10°, etc.) as the unit, find the angle containing 50% of the 4G weak coverage sampling points on both sides of the normal lines of the first cell, the second cell and the third cell respectively, which is defined as the beam width β 2 , β 3 , β 4 (β 2 , β 3 , β 4 Should be less than 110°), β 2 , β 3 , β 4 This is the radiation width of the 5G base station. The most suitable beam weight can be automatically generated by matching the calculated direction angle and beam width to the beam weight table.

[0105] In this embodiment, 5G base station sites are planned in the second area where 4G weak coverage sampling points are most concentrated in the single-station omnidirectional coverage cluster, and based on the current 5G beam weight table and the determined radiation direction angle of the 5G base station and the radiation width of the 5G base station, the direction angles and beam widths of different cells of the 5G base station are reasonably planned to achieve coverage of dense users.

[0106] In one embodiment, when the cluster category of the 4G weak coverage cluster is a multi-station omnidirectional coverage cluster, before executing step D3, the multi-station omnidirectional coverage cluster can be first divided into multiple sub-clusters according to the cluster radius of the multi-station omnidirectional coverage cluster and the base station coverage capability radius, and the cluster category of each sub-cluster is determined to be a single-station omnidirectional coverage cluster. Then, the above steps D321-D323 are executed to perform 5G base station site planning for the area corresponding to the multi-station omnidirectional coverage cluster.

[0107] Among them, the cluster radius of each sub-cluster is smaller than the base station coverage radius and larger than , it can be determined that the cluster category of each sub-cluster is a single-station omnidirectional coverage cluster.

[0108] In this embodiment, by dividing the multi-station omnidirectional coverage clustering clusters into multiple single-station omnidirectional coverage clustering clusters, it is possible to carry out 5G base station site planning for the areas corresponding to each single-station omnidirectional coverage clustering cluster according to the 5G base station site planning method of the single-station omnidirectional coverage clustering clusters, thereby improving the accuracy and rationality of the 5G base station site planning.

[0109] Figure 4 is a schematic flow chart of a 5G base station site planning method in another embodiment of the present invention, Figure 4 Methods may include:

[0110] S401 : Divide the area to be planned into a plurality of first grids of a specified size, and determine the business-related data corresponding to each first grid.

[0111] Among them, business-related data includes the number of users, user business volume, user income information, etc.

[0112] S402: Determine the business scenario categories corresponding to the first grids according to the business association data corresponding to the first grids.

[0113] Among them, a plurality of central grids in each first grid may be first determined, the similarity between each first grid and each central grid may be calculated according to the business association data, and the business scenario category corresponding to each first grid may be determined according to the similarity.

[0114] S403: Determine the aggregation thresholds corresponding to the respective service scenario categories according to the number of 4G weak coverage sampling points included in each first grid.

[0115] S404, for any first grid, determine whether the number of 4G weak coverage sampling points included in the first grid is greater than or equal to the aggregation threshold corresponding to the first grid; if so, execute S405; if not, continue to execute S404.

[0116] S405: Determine that the first grid is a 4G weak coverage grid.

[0117] S406: Cluster each 4G weak coverage grid to obtain a plurality of 4G weak coverage clusters.

[0118] S407, determining the base station coverage capability radius corresponding to the service scenario category corresponding to each 4G weak coverage cluster; and determining the cluster radius of each 4G weak coverage cluster.

[0119] S408: Determine the cluster categories corresponding to the respective 4G weak coverage clusters according to the base station coverage capability radius and the cluster radius.

[0120] Among them, the cluster categories may include single-station omnidirectional coverage clusters, multi-station omnidirectional coverage clusters, directional coverage clusters, etc.

[0121] S409: Determine the 5G base station site planning method corresponding to each 4G weak coverage cluster according to the cluster category and the preset 5G base station site planning method for each cluster category.

[0122] S410: According to the 5G base station site planning method, 5G base station sites are planned for the areas corresponding to each 4G weak coverage cluster.

[0123] The specific process of S401-S410 has been described in detail in the above embodiment and will not be repeated here.

[0124] In an embodiment of the present invention, by dividing the area to be planned into a plurality of first grids of a specified size, determining the business association data corresponding to each first grid, determining the business scenario category corresponding to each first grid according to the business association data, and determining the 4G weak coverage grid in each first grid according to the number of 4G weak coverage sampling points included in each first grid and the business scenario category corresponding to each first grid, clustering each 4G weak coverage grid to obtain a plurality of 4G weak coverage clustering clusters, and performing 5G base station site planning for the area corresponding to each 4G weak coverage clustering cluster. It can be seen that the technical scheme can determine the 4G weak coverage grid in the area to be planned, and carry out 5G base station site planning for the 4G weak coverage area corresponding to the 4G weak coverage grid in a targeted manner. Compared with the traditional method of co-locating a 5G base station on a 4G base station site, it can avoid the influence of 4G coverage holes (i.e., 4G weak coverage grids) on 5G coverage, making the 5G base station site planning more reasonable and improving the comprehensiveness of 5G coverage.

[0125] The above is a description of a specific embodiment of the specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0126] Figure 5 This is a schematic diagram of the structure of a 5G base station site planning device in an embodiment of the present invention. Figure 5 , the 5G base station site planning device may include:

[0127] The division and determination module 510 is used to divide the area to be planned into a plurality of first grids of a specified size, and determine the business-related data corresponding to each first grid; the business-related data includes at least one of the number of users, the user business volume, and the user income information;

[0128] A first determination module 520, configured to determine the business scenario categories corresponding to the first grids according to the business association data;

[0129] The second determination module 530 is used to determine the 4G weak coverage grid in each first grid according to the number of 4G weak coverage sampling points included in each first grid and the service scenario category corresponding to each first grid;

[0130] The clustering and planning module 540 is used to cluster each 4G weak coverage grid to obtain multiple 4G weak coverage clusters; and perform 5G base station site planning for the area corresponding to each 4G weak coverage cluster.

[0131] In one embodiment, the second determination module 530 includes:

[0132] A first determining unit, configured to determine, according to the number of 4G weak coverage sampling points included in each first grid, an aggregation threshold corresponding to each service scenario category;

[0133] A judging unit, configured to judge, for any first grid, whether the number of 4G weak coverage sampling points included in the first grid is greater than or equal to an aggregation threshold corresponding to the first grid;

[0134] The second determining unit is configured to determine that, if yes, the first grid is a 4G weak coverage grid.

[0135] In one embodiment, the clustering and planning module 540 includes:

[0136] A third determining unit is used to determine the cluster categories corresponding to each 4G weak coverage cluster;

[0137] The fourth determination unit is used to determine the 5G base station site planning method corresponding to each 4G weak coverage cluster according to the cluster category and the preset 5G base station site planning method for each cluster category;

[0138] The planning unit is used to plan the 5G base station sites for the areas corresponding to each 4G weak coverage cluster according to the 5G base station site planning method.

[0139] In one embodiment, the third determining unit is specifically configured to:

[0140] Determine the base station coverage capability radius corresponding to the service scenario category corresponding to each 4G weak coverage cluster; and determine the cluster radius of each 4G weak coverage cluster;

[0141] According to the base station coverage radius and cluster radius, the cluster categories corresponding to each 4G weak coverage cluster are determined.

[0142] In one embodiment, the cluster category of the 4G weak coverage cluster is a directional coverage cluster;

[0143] The planning unit is specifically used for:

[0144] Determine a first center point of a first area where 4G weak coverage sampling points are most concentrated in the directional coverage cluster; and determine a first edge point farthest from the first center point in the directional coverage cluster;

[0145] Determine, according to the first center point and the first edge point, a 5G base station site in an area corresponding to the directional coverage cluster;

[0146] According to the first center point and the site of the 5G base station, the radiation direction angle and radiation width of the 5G base station are determined.

[0147] In one embodiment, the cluster category of the 4G weak coverage cluster is a single-station omnidirectional coverage cluster;

[0148] The planning unit is specifically used for:

[0149] Determine the centroid position of the area corresponding to the single-station omnidirectional coverage cluster; determine the 5G base station site in the area corresponding to the single-station omnidirectional coverage cluster according to the centroid position;

[0150] Determine the second center point of the second area where the 4G weak coverage sampling points are most concentrated in the single-station omnidirectional coverage cluster;

[0151] Based on the second center point and the site of the 5G base station, determine the radiation direction angle and radiation width of the 5G base station.

[0152] In one embodiment, the cluster category of the 4G weak coverage cluster is a multi-station omnidirectional coverage cluster;

[0153] The clustering and planning module 540 also includes:

[0154] A division unit, used for dividing the multi-station omnidirectional coverage cluster into a plurality of sub-clusters according to the cluster radius of the multi-station omnidirectional coverage cluster and the base station coverage capability radius;

[0155] The fifth determining unit is configured to determine that the cluster category of each sub-cluster is a single-station omnidirectional coverage cluster.

[0156] In one embodiment, the first determining module 520 includes:

[0157] A sixth determining unit, configured to determine a plurality of central grids in each of the first grids;

[0158] A calculation unit, used for calculating the similarity between each first grid and each central grid according to the business association data;

[0159] The seventh determining unit is used to determine the business scenario categories corresponding to the first grids according to the similarity.

[0160] The 5G base station site planning device provided in the embodiment of the present invention can implement each process implemented by the 5G base station site planning method in the above method embodiment. To avoid repetition, it will not be repeated here.

[0161] In an embodiment of the present invention, by dividing the area to be planned into a plurality of first grids of a specified size, determining the business association data corresponding to each first grid, determining the business scenario category corresponding to each first grid according to the business association data, and determining the 4G weak coverage grid in each first grid according to the number of 4G weak coverage sampling points included in each first grid and the business scenario category corresponding to each first grid, clustering each 4G weak coverage grid to obtain a plurality of 4G weak coverage clustering clusters, and performing 5G base station site planning for the area corresponding to each 4G weak coverage clustering cluster. It can be seen that the device can determine the 4G weak coverage grid in the area to be planned, and carry out 5G base station site planning for the 4G weak coverage area corresponding to the 4G weak coverage grid in a targeted manner. Compared with the traditional method of co-locating a 5G base station on a 4G base station site, it can avoid the influence of 4G coverage holes (i.e., 4G weak coverage grids) on 5G coverage, making 5G base station site planning more reasonable and improving the comprehensiveness of 5G coverage.

[0162] See also Figure 6 , Figure 6 It is a structural diagram of a 5G base station site planning device in an embodiment of the present invention, which can implement the details of the 5G base station site planning method performed by the 5G base station site planning device in the above embodiment and achieve the same effect. Figure 6 As shown, the 5G base station site planning device 600 includes: a processor 601, a transceiver 602, a memory 603, a user interface 604 and a bus interface, wherein:

[0163] In the embodiment of the present invention, the 5G base station site planning device 600 further includes: a computer program stored in the memory 603 and executable on the processor 601, and the computer program is executed by the processor 601 to implement the following steps:

[0164] Divide the area to be planned into a plurality of first grids of specified sizes, and determine the business-related data corresponding to each first grid; the business-related data includes at least one of the number of users, user business volume, and user income information;

[0165] Determine the business scenario categories corresponding to the first grids according to the business association data;

[0166] Determine the 4G weak coverage grids in each first grid according to the number of 4G weak coverage sampling points included in each first grid and the service scenario categories corresponding to each first grid;

[0167] Cluster each 4G weak coverage grid to obtain multiple 4G weak coverage clusters; and plan 5G base station sites for the areas corresponding to each 4G weak coverage cluster.

[0168] exist Figure 6 In the embodiment, the bus architecture may include any number of interconnected buses and bridges, specifically one or more processors represented by processor 601 and various circuits of memory represented by memory 603 are linked together. The bus architecture may also link together various other circuits such as peripherals, voltage regulators, and power management circuits, which are well known in the art and are therefore not further described herein. The bus interface provides an interface. The transceiver 602 may be a plurality of components, namely, a transmitter and a receiver, providing a unit for communicating with various other devices on a transmission medium. For different user devices, the user interface 604 may also be an interface capable of externally and internally connecting required devices, and the connected devices include but are not limited to a keypad, a display, a speaker, a microphone, a joystick, and the like.

[0169] The processor 601 is responsible for managing the bus architecture and general processing, and the memory 603 can store data used by the processor 601 when performing operations.

[0170] In an embodiment of the present invention, by dividing the area to be planned into a plurality of first grids of a specified size, determining the business association data corresponding to each first grid, determining the business scenario category corresponding to each first grid according to the business association data, and determining the 4G weak coverage grid in each first grid according to the number of 4G weak coverage sampling points included in each first grid and the business scenario category corresponding to each first grid, clustering each 4G weak coverage grid to obtain a plurality of 4G weak coverage clustering clusters, and performing 5G base station site planning for the area corresponding to each 4G weak coverage clustering cluster. It can be seen that the device can determine the 4G weak coverage grid in the area to be planned, and perform 5G base station site planning for the 4G weak coverage area corresponding to the 4G weak coverage grid in a targeted manner. Compared with the traditional method of co-locating a 5G base station on a 4G base station site, it can avoid the influence of 4G coverage holes (i.e., 4G weak coverage grids) on 5G coverage, making the 5G base station site planning more reasonable and improving the comprehensiveness of 5G coverage.

[0171] Preferably, an embodiment of the present invention further provides a 5G base station site planning device, comprising a processor 601, a memory 603, and a computer program stored in the memory 603 and executable on the processor 601. When the computer program is executed by the processor 601, each process of the above-mentioned 5G base station site planning method embodiment is implemented, and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.

[0172] The embodiment of the present invention also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, each process of the above-mentioned 5G base station site planning method embodiment is implemented, and the same technical effect can be achieved. To avoid repetition, it is not repeated here. The computer-readable storage medium is, for example, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0173] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or device including the element.

[0174] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, a magnetic disk, or an optical disk), and includes a number of instructions for enabling a terminal (which can be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to execute the methods described in each embodiment of the present invention.

[0175] The embodiments of the present invention are described above in conjunction with the accompanying drawings, but the present invention is not limited to the above-mentioned specific implementation modes, which are merely illustrative rather than restrictive. Under the guidance of the present invention, ordinary technicians in this field can also make many forms without departing from the scope of protection of the present invention and the claims, all of which are within the protection of the present invention.

Claims

1. A 5G base station site planning method, characterized in that: include: Divide the area to be planned into a plurality of first grids of specified sizes, and determine the business-related data corresponding to each of the first grids; the business-related data includes at least one of the number of users, user business volume, and user income information; Determining, according to the business association data, business scenario categories corresponding to the first grids; Determine the 4G weak coverage grids in each of the first grids according to the number of 4G weak coverage sampling points included in each of the first grids and the service scenario categories respectively corresponding to each of the first grids; Clustering the 4G weak coverage grids to obtain a plurality of 4G weak coverage clusters; and performing 5G base station site planning for the areas corresponding to the 4G weak coverage clusters; The performing 5G base station site planning for the area corresponding to each of the 4G weak coverage clusters includes: Determine the base station coverage capability radius corresponding to the service scenario category corresponding to each of the 4G weak coverage clusters; and determine the cluster radius of each of the 4G weak coverage clusters; According to the base station coverage capability radius and the cluster radius, determine the cluster categories corresponding to each of the 4G weak coverage clusters, wherein the cluster categories include: directional coverage clusters, single-station omnidirectional coverage clusters, or multi-station omnidirectional coverage clusters; According to the cluster category and the preset 5G base station site planning method for each cluster category, determine the 5G base station site planning method corresponding to each of the 4G weak coverage clusters; According to the 5G base station site planning method, 5G base station site planning is performed for the areas corresponding to each of the 4G weak coverage clusters.

2. The method according to claim 1, characterized in that The determining, according to the number of 4G weak coverage sampling points included in each of the first grids and the service scenario categories respectively corresponding to each of the first grids, the 4G weak coverage grids in each of the first grids comprises: Determining, according to the number of 4G weak coverage sampling points included in each of the first grids, an aggregation threshold corresponding to each of the service scenario categories; For any of the first grids, determine whether the number of 4G weak coverage sampling points included in the first grid is greater than or equal to the aggregation threshold corresponding to the first grid; If so, it is determined that the first grid is the 4G weak coverage grid.

3. The method according to claim 1, characterized in that In the case where the cluster category of the 4G weak coverage cluster is a directional coverage cluster; According to the 5G base station site planning method, 5G base station site planning is performed on the areas corresponding to each of the 4G weak coverage clusters, including: Determine a first center point of a first area in which the 4G weak coverage sampling points are most concentrated in the directional coverage cluster; and determine a first edge point in the directional coverage cluster that is farthest from the first center point; Determine, according to the first center point and the first edge point, a 5G base station site in the area corresponding to the directional coverage cluster; According to the first center point and the site of the 5G base station, the radiation direction angle of the 5G base station and the radiation width of the 5G base station are determined.

4. The method according to claim 1, characterized in that: When the cluster category of the 4G weak coverage cluster is a single-station omnidirectional coverage cluster; According to the 5G base station site planning method, 5G base station site planning is performed on the areas corresponding to each of the 4G weak coverage clusters, including: Determine the centroid position of the area corresponding to the single-station omnidirectional coverage cluster; determine the 5G base station site in the area corresponding to the single-station omnidirectional coverage cluster according to the centroid position; Determine a second center point of a second area in which the 4G weak coverage sampling points are most concentrated in the single-station omnidirectional coverage cluster; According to the second center point and the site of the 5G base station, the radiation direction angle of the 5G base station and the radiation width of the 5G base station are determined.

5. The method according to claim 4, characterized in that When the cluster category of the 4G weak coverage cluster is a multi-station omnidirectional coverage cluster; Before performing 5G base station site planning for the areas corresponding to each of the 4G weak coverage clusters according to the 5G base station site planning method, the method further includes: Dividing the multi-station omnidirectional coverage cluster into a plurality of sub-clusters according to the cluster radius of the multi-station omnidirectional coverage cluster and the base station coverage capability radius; Determine the cluster category of each of the sub-clusters as the single-station omnidirectional coverage cluster.

6. The method according to claim 1, characterized in that The determining, according to the business association data, the business scenario categories corresponding to the first grids respectively includes: determining a plurality of central grids in each of the first grids; Calculating the similarity between each of the first grids and each of the central grids according to the business association data; The business scenario categories corresponding to the first grids are determined according to the similarities.

7. A 5G base station site planning device, characterized in that: include: A division and determination module, used to divide the area to be planned into a plurality of first grids of a specified size, and determine the business-related data corresponding to each of the first grids; the business-related data includes at least one of the number of users, the user business volume, and the user income information; A first determination module, configured to determine the business scenario categories corresponding to the first grids according to the business association data; A second determination module is used to determine the 4G weak coverage grid in each of the first grids according to the number of 4G weak coverage sampling points included in each of the first grids and the business scenario categories corresponding to each of the first grids; A clustering and planning module, used to cluster the 4G weak coverage grids to obtain multiple 4G weak coverage clusters; and perform 5G base station site planning for the areas corresponding to the 4G weak coverage clusters; The performing 5G base station site planning for the area corresponding to each of the 4G weak coverage clusters includes: Determine the base station coverage capability radius corresponding to the service scenario category corresponding to each of the 4G weak coverage clusters; and determine the cluster radius of each of the 4G weak coverage clusters; According to the base station coverage capability radius and the cluster radius, determine the cluster categories corresponding to each of the 4G weak coverage clusters, wherein the cluster categories include: directional coverage clusters, single-station omnidirectional coverage clusters, or multi-station omnidirectional coverage clusters; According to the cluster category and the preset 5G base station site planning method for each cluster category, determine the 5G base station site planning method corresponding to each of the 4G weak coverage clusters; According to the 5G base station site planning method, 5G base station site planning is performed for the areas corresponding to each of the 4G weak coverage clusters.

8. A 5G base station site planning device, characterized in that: include: a memory storing computer program instructions; A processor, when the computer program instructions are executed by the processor, implements the 5G base station site planning method as described in any one of claims 1 to 6.

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