Communication base station neighboring area planning method, device, communication base station and storage medium

Abstract

The present invention discloses a method, device, communication base station and storage medium for planning neighboring areas of communication base stations, and relates to the field of mobile communication technology. The method comprises: obtaining engineering parameters, base station coverage type and neighboring area demand type of a base station to be planned; obtaining a neighboring area planning range of the base station to be planned according to the engineering parameters; within the neighboring area planning range, performing quadrant slicing processing based on the base station to be planned to obtain multiple planning range slices; within each planning range slice, performing layered processing according to the distance between the target base station and the base station to be planned to obtain multiple layers of hierarchical neighboring areas of the planning range slices, wherein the target base station is determined according to the neighboring area demand type; screening and sorting the multiple layers of hierarchical neighboring areas of the multiple planning range slices according to the base station coverage type to obtain a neighboring area planning result. The present invention solves the problem of low planning accuracy in existing 5G communication base station neighboring area planning, and achieves the effect of improving the quality and efficiency of communication base station neighboring area planning.

Description

Technical Field

[0001] The present invention relates to the field of mobile communication technologies, and in particular to a method and device for planning neighboring cells of a communication base station, a communication base station, and a storage medium. Background Art

[0002] A neighboring cell refers to a collection of adjacent cells set up by a communication base station so that terminals can switch smoothly. When building a new 5G communication base station, it is necessary to plan the corresponding neighboring cells corresponding to the two network networking architectures of the 5G network, that is, corresponding to SA (standalone networking) and NSA (non-standalone networking) to plan the corresponding neighboring cells and anchor points. At present, when planning the neighboring cells of 5G communication base stations, external tools are mainly used to directly select all relevant cells within a fixed range determined by the staff's experience as neighboring cells based on the latitude and longitude of the base station to be planned. This "one-size-fits-all" approach has the problem of low accuracy. Summary of the Invention

[0003] The main purpose of the present invention is to provide a communication base station neighbor cell planning method, device, communication base station and storage medium, aiming to solve the technical problem of low planning accuracy when the existing technology performs neighbor cell planning for 5G communication base stations.

[0004] To achieve the above object, the present invention adopts the following technical solutions:

[0005] In a first aspect, the present invention provides a method for planning neighboring cells of a communication base station, the method comprising the following steps:

[0006] Obtaining engineering parameters and base station coverage type of the base station to be planned, as well as the neighboring cell requirement type of the base station to be planned;

[0007] Obtaining a planned range of neighboring cells of the base station to be planned according to the engineering parameters;

[0008] Within the planned range of the neighboring cell, quadrant slicing processing is performed based on the base station to be planned to obtain multiple planning range slices;

[0009] In each of the planning range slices, hierarchical processing is performed according to the distance between the target base station and the base station to be planned, to obtain a plurality of multi-layer hierarchical neighboring areas of the planning range slices, wherein the target base station is determined according to the neighboring area requirement type;

[0010] According to the base station coverage type, the multi-layer hierarchical neighboring areas of the multiple planning range slices are screened and sorted to obtain a neighboring area planning result.

[0011] Optionally, in the above-mentioned communication base station neighboring cell planning method, before the step of obtaining the engineering parameters and base station coverage type of the base station to be planned, and the neighboring cell requirement type of the base station to be planned, the method further includes:

[0012] Establish a real-time engineering parameter database, which includes engineering parameters of base stations that have been opened in the 4G and / or 5G existing network and engineering parameters of base stations in the opening engineering state;

[0013] The step of obtaining the engineering parameters and base station coverage type of the base station to be planned, and the neighboring area requirement type of the base station to be planned, specifically includes:

[0014] Acquire engineering parameters and base station coverage types of the base station to be planned from the real-time engineering parameter database, wherein the engineering parameters include the networking architecture of the base station to be planned;

[0015] According to the networking architecture, a neighboring cell requirement type of the base station to be planned is obtained.

[0016] Optionally, in the above-mentioned communication base station neighboring cell planning method, the base station coverage type includes a macro base station and an indoor base station;

[0017] The step of obtaining the neighboring cell planning range of the base station to be planned according to the engineering parameters specifically includes:

[0018] When the base station coverage type is a macro base station, a preliminary evaluation area of the base station to be planned and a theoretical average station spacing of communication base stations within the preliminary evaluation area are obtained according to the engineering parameters; and a hexagon is constructed with the base station to be planned as the center and a preset multiple of the theoretical average station spacing as the radius to obtain a neighboring area planning range of the base station to be planned;

[0019] When the base station coverage type is an indoor base station, the spacing radius of the macro base station interacting with the indoor base station is obtained according to the engineering parameters; and a hexagon is constructed with the base station to be planned as the center and a preset multiple of the spacing radius of the macro base station as the radius to obtain the neighboring area planning range of the base station to be planned.

[0020] Optionally, in the above-mentioned communication base station neighboring cell planning method, the step of obtaining, based on the engineering parameters, a preliminary evaluation area of the base station to be planned and a theoretical average station spacing of the communication base stations in the preliminary evaluation area specifically includes:

[0021] Determining a preliminary evaluation area of the base station to be planned using a cellular grid algorithm according to engineering parameters of the base station to be planned;

[0022] Obtaining the radius of the preliminary evaluation area to obtain the area of the preliminary evaluation area;

[0023] Obtaining a theoretical average coverage area of the communication base stations according to the area of the preliminary evaluation area and the number of communication base stations within the preliminary evaluation area;

[0024] According to the theoretical average coverage area of the communication base station, the theoretical average station spacing of the communication base station is obtained.

[0025] Optionally, in the above-mentioned communication base station neighboring cell planning method, the step of performing quadrant slicing processing based on the base station to be planned within the neighboring cell planning range to obtain multiple planning range slices specifically includes:

[0026] According to the cell azimuth of the base station to be planned, the neighboring cell planning range is divided into four quadrants with the base station to be planned as the origin;

[0027] In each quadrant, the angles between each target base station and the base station to be planned are averaged to obtain a slice scanning angle;

[0028] The quadrant is sliced according to the slice scanning angle to obtain a plurality of planning range slices.

[0029] Optionally, in the above-mentioned communication base station neighboring area planning method, the step of performing hierarchical processing within each of the planning range slices according to the distance between the target base station and the base station to be planned to obtain a plurality of multi-layer hierarchical neighboring areas of the planning range slices specifically includes:

[0030] In each of the planning range slices, a straight line perpendicular to the line connecting the target base station and the base station to be planned is drawn, and the distance between the straight line and the intersection points of the two boundaries of the planning range slice is obtained;

[0031] Obtaining an arc radius according to the distance between the target base station and the base station to be planned and the distance between the straight line and the two boundary intersections of the planning range slice;

[0032] Taking the target base station as the origin and the arc radius as the radius, a layered arc is obtained;

[0033] According to the hierarchical arcs, the planning range is sliced into multiple layers of hierarchical neighboring areas.

[0034] Optionally, in the above-mentioned communication base station neighboring cell planning method, the step of screening and sorting the multi-layer hierarchical neighboring cells of the multiple planning range slices according to the base station coverage type to obtain the neighboring cell planning results specifically includes:

[0035] According to the base station coverage type, screening a preset number of hierarchical neighboring cells to obtain preliminary planned neighboring cells;

[0036] Obtaining a correlation force calculation value between the base station to be planned and the preliminary planned neighboring cell according to the antenna height, total antenna tilt angle, base station spacing, and coverage direction of the base station to be planned;

[0037] Sorting and outputting the preliminary planned neighboring areas according to the relevant force calculation value and the preset demand upper limit threshold to obtain a preliminary neighboring area planning result;

[0038] According to the type of the neighboring area demand, the preliminary neighboring area planning results are obtained by classification and summarized to obtain the final neighboring area planning results.

[0039] In a second aspect, the present invention provides a communication base station neighboring cell planning device, the device comprising:

[0040] A parameter acquisition module, configured to acquire engineering parameters and base station coverage type of a base station to be planned, as well as a neighboring cell requirement type of the base station to be planned;

[0041] A planning range acquisition module, configured to obtain a neighboring area planning range of the base station to be planned according to the engineering parameters;

[0042] A quadrant slice processing module is used to perform quadrant slice processing based on the base station to be planned within the neighboring cell planning range to obtain multiple planning range slices;

[0043] a hierarchical processing module, configured to perform hierarchical processing within each of the planning range slices according to the distance between the target base station and the base station to be planned, to obtain a plurality of multi-layer hierarchical neighboring areas of the planning range slices, wherein the target base station is determined according to the neighboring area requirement type;

[0044] The planning result module is used to screen and sort the multi-layer hierarchical neighboring areas of the multiple planning range slices according to the base station coverage type to obtain the neighboring area planning results.

[0045] In a third aspect, the present invention provides a communication base station, which includes a processor and a memory, wherein a computer program is stored in the memory, and when the computer program is executed by the processor, the communication base station neighbor cell planning method as described above is implemented.

[0046] In a fourth aspect, the present invention provides a storage medium having a computer program stored thereon, wherein the computer program can be executed by one or more processors to implement the communication base station neighbor cell planning method as described above.

[0047] The above one or more technical solutions provided by the present invention may have the following advantages or at least achieve the following technical effects:

[0048] The present invention proposes a communication base station neighborhood planning method, device, communication base station and storage medium. The method performs quadrant slicing processing based on the base station to be planned within the neighborhood planning range obtained according to the engineering parameters of the base station to be planned, and performs layered processing within each planning range slice to obtain multiple layers of hierarchical neighborhoods of multiple planning range slices. Finally, the multi-layered neighborhoods of the multiple planning range slices are screened and sorted to obtain neighborhood planning results, thereby achieving the purpose of automatically planning the neighborhoods of the communication base station; there is no need to rely on manual experience, which increases the accuracy of the communication base station neighborhood planning; automatic planning reduces manual participation, and improves the efficiency of the communication base station neighborhood planning; after slicing and layering, the hierarchical relationship is clear, which improves the quality of the communication base station neighborhood planning and the network access quality of the communication base station. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these provided drawings without paying any creative work.

[0050] Figure 1 This is a flow chart of a first embodiment of a method for planning neighboring cells of a communication base station according to the present invention;

[0051] Figure 2 A schematic diagram of the hardware structure of a communication base station involved in the present invention;

[0052] Figure 3 This is a flow chart of a second embodiment of a method for planning neighboring cells of a communication base station according to the present invention;

[0053] Figure 4 Schematic diagram of the preliminary evaluation area in step S41.2 of the second embodiment of the communication base station neighborhood planning method of the present invention;

[0054] Figure 5 Schematic diagram of base station sector coverage radius and inter-station spacing in step S41.4 of the second embodiment of the communication base station neighborhood planning method of the present invention;

[0055] Figure 6 This is a schematic diagram of the neighboring cell planning range of a 5G base station to be planned whose base station coverage type is a macro base station in step S41.5 of the second embodiment of the communication base station neighboring cell planning method of the present invention;

[0056] Figure 7 This is a schematic diagram of the neighboring cell planning range of a 5G base station to be planned whose base station coverage type is an indoor base station in step S42 of the second embodiment of the communication base station neighboring cell planning method of the present invention;

[0057] Figure 8 Schematic diagram of the angle between the target base station and the base station to be planned in step S62 of the second embodiment of the communication base station neighboring cell planning method of the present invention;

[0058] Figure 9 This is a schematic diagram of slicing the first quadrant according to the slicing scanning angle in step S63 of the second embodiment of the communication base station neighboring cell planning method of the present invention;

[0059] Figure 10 This is a schematic diagram of layering the planning range slices in step S80 of the second embodiment of the communication base station neighbor cell planning method of the present invention;

[0060] Figure 11 Schematic diagram of a general model of base station antenna tilt angle and coverage distance in step S102 of the second embodiment of the communication base station neighboring cell planning method of the present invention;

[0061] Figure 12 Schematic diagram of the included angle between the target base station and the base station to be planned in step S102 of the second embodiment of the communication base station neighboring cell planning method of the present invention;

[0062] Figure 13 Schematic diagram of calculation of the azimuth angle between the target base station and the base station to be planned in step S102 of the second embodiment of the communication base station neighboring cell planning method of the present invention;

[0063] Figure 14 This is a flow chart of obtaining the final neighboring cell planning result in step S104 of the second embodiment of the communication base station neighboring cell planning method of the present invention;

[0064] Figure 15 This is a functional module diagram of the first embodiment of the communication base station neighbor cell planning device of the present invention.

[0065] The purpose, features and advantages of the present invention will be further described with reference to the accompanying drawings and in conjunction with the embodiments. DETAILED DESCRIPTION

[0066] To make the objectives, technical solutions, and advantages of the present invention more clear, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only 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 making any creative work shall fall within the scope of protection of the present invention.

[0067] It should be noted that in the embodiments of the present invention, all directional indications (such as up, down, left, right, front, back, etc.) are only used to explain the relative position relationship, movement status, etc. between the various components under a certain specific posture (as shown in the accompanying drawings). If the specific posture changes, the directional indication will also change accordingly.

[0068] In the present invention, the terms "comprise", "include" or any other variants thereof are intended to cover non-exclusive inclusion, so that the process, method, article or system comprising a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or system. In the absence of further restrictions, an element defined by the statement "comprise..." does not exclude the presence of other identical elements in the process, method, article or system comprising the element. In addition, suffixes such as "module", "component" or "unit" used to represent elements in the present invention are only for the purpose of facilitating the description of the present invention and have no specific meaning in themselves. Therefore, "module", "component" or "unit" can be used in a mixed manner.

[0069] Those skilled in the art will understand the specific meanings of the above terms in the present invention based on specific circumstances. Furthermore, the technical solutions of the various embodiments may be combined with each other, but this must be based on the fact that they can be implemented by those skilled in the art. If the combination of technical solutions is mutually inconsistent or cannot be implemented, it should be deemed that such a combination of technical solutions does not exist and is not within the scope of protection claimed by the present invention.

[0070] A cell, also known as a cellular cell, refers to the area covered by a base station or a part of a base station (sector antenna) in a cellular mobile communication system. In this area, a mobile station can reliably communicate with the base station through a wireless channel. A neighboring cell, also known as an adjacent cell, refers to two cells with overlapping coverage and a switching relationship. A cell can have multiple neighboring cells. Simply put, it enables a mobile phone to smoothly switch services between multiple cells with defined neighboring relationships while on the move without interruption. Only by adding neighboring cells can the terminal switch smoothly between different networks such as GSM (Global System for Mobile Communications) and UMTS (Universal Mobile Telecommunications System).

[0071] Neighborhood planning for a communication base station refers to obtaining a set of target cells that the base station has set up to ensure smooth handover for mobile devices. The next-generation 5G network has two networking architectures: SA (Standalone) and NSA (Non-Standalone). SA refers to the construction of a new 5G network, including new base stations, backhaul links, and a core network; NSA refers to the deployment of a 5G network using existing 4G infrastructure. 5G carriers based on the NSA architecture only carry user data, while control signaling is still transmitted over the 4G network. Based on the requirements of this NSA architecture, a new type of neighboring cell, the anchor point, has been developed. Therefore, before a 5G base station is commissioned, it is necessary to configure and plan the neighboring cell requirement type. When building a new 5G base station, it is necessary to configure the neighboring cell requirement type corresponding to the two 5G network architectures: 5-5 neighboring cells, 5-4 neighboring cells, and anchor points for SA (Standalone) and NSA (Non-Standalone).

[0072] Analysis of existing technologies reveals that setting too many neighboring cells increases measurement time and network system resource consumption; setting too few neighboring cells can easily lead to dropped calls, disconnections, and poor user experience. Therefore, scientifically and rationally planning the neighboring cell relationships for 5G base station deployment is not only key to improving the efficiency of 5G base station deployment, but also an important task in ensuring that mobile communication networks provide high-quality services to users.

[0073] The current 5G network is still in the early stages of high-speed network construction, and the existing solutions mainly adopt a "one-size-fits-all" planning approach. The specific process is: first, with the help of external tools, with the center of the 5G base station or cell to be planned as the center of the circle, all 4G / 5G cells within a circular range with a fixed distance determined by staff experience as the radius are planned as a neighboring cell library; secondly, based on the network networking architecture and neighboring cell configuration principles of the 5G base station to be planned, the required neighboring cells are automatically screened from the neighboring cell library; then, the priority is set according to the straight-line distance between the screened neighboring cells and the 5G base station to be planned, such as sorting the priorities from near to far; finally, the neighboring cells with the optimal total demand upper limit are selected as the final planning result according to demand.

[0074] There are several problems with this one-size-fits-all approach to neighborhood planning:

[0075] 1. Using external tools to store engineering parameters for existing base stations places high demands on the integrity of base station data. If the 5G base station to be planned is surrounded by base stations that are still under commissioning or in neighboring areas that are also under planning, the external tool is likely to miss data for these base stations, resulting in inaccurate subsequent neighboring area planning for the 5G base station to be planned.

[0076] 2. Fixed distances are primarily determined by staff experience and are subjective. Setting a fixed range too large can easily lead to excessive invalid neighboring cells, resulting in significant network resource consumption, such as in urban areas. Setting a fixed range too small can also result in missing neighboring cells, impacting network performance, such as in rural areas. Therefore, existing technologies lack effective planning quality assurance and are inefficient, failing to meet the current production requirements for large-scale, efficient 5G network deployment.

[0077] 3. When selecting neighboring cells, setting priorities only based on geographical distance and the upper limit of total demand can easily lead to missing neighboring cells or unreasonable neighboring cell allocation, thus affecting network usage perception.

[0078] In view of the technical problems in the existing methods for base station neighbor cell planning, such as low accuracy, insufficient planning quality assurance, low efficiency, and potential impact on network usage perception, the present invention provides a method for communication base station neighbor cell planning. The overall concept is as follows:

[0079] Obtain the engineering parameters and base station coverage type of the base station to be planned, as well as the neighboring area demand type of the base station to be planned; obtain the neighboring area planning range of the base station to be planned based on the engineering parameters; within the neighboring area planning range, perform quadrant slicing processing based on the base station to be planned to obtain multiple planning range slices; within each of the planning range slices, perform layered processing based on the distance between the target base station and the base station to be planned to obtain multiple multi-layered hierarchical neighboring areas of the planning range slices, wherein the target base station is determined according to the neighboring area demand type; according to the base station coverage type, screen and sort the multi-layered hierarchical neighboring areas of the multiple planning range slices to obtain a neighboring area planning result.

[0080] Through the above technical solution, within the neighborhood planning range obtained according to the engineering parameters of the base station to be planned, quadrant slicing processing is performed based on the base station to be planned, and layered processing is performed within each planning range slice to obtain multi-layer hierarchical neighborhoods of multiple planning range slices. Finally, the multi-layer hierarchical neighborhoods of the multiple planning range slices are screened and sorted to obtain neighborhood planning results, thereby achieving the purpose of automated planning of neighborhoods of communication base stations; there is no need to rely on manual experience, which increases the accuracy of neighborhood planning of communication base stations; automatic planning reduces manual participation, and improves the efficiency of neighborhood planning of communication base stations; slicing and layering are performed, and the hierarchical relationship is clear, which improves the quality of neighborhood planning of communication base stations and the quality of network access of communication base stations.

[0081] Example 1

[0082] Reference Figure 1The flowchart of FIG. 1 is a flow chart showing a first embodiment of a method for planning a neighboring cell of a communication base station according to the present invention, which is applied to a communication base station. The communication base station is an interface device or radio station capable of providing wireless coverage, that is, enabling wireless signal transmission between a wired communication network and a wireless terminal.

[0083] like Figure 2 The device may include: a processor 1001, such as a CPU (Central Processing Unit), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005.

[0084] Those skilled in the art will understand that Figure 2 The hardware structure shown in the figure does not constitute a limitation on the communication base station of the present invention, and may include more or fewer components than shown in the figure, or combine certain components, or arrange the components differently.

[0085] Specifically, the communication bus 1002 is used to realize the connection and communication between these components; the user interface 1003 is used to connect to the wireless terminal and communicate data with the wireless terminal. The user interface 1003 may include an output unit and an input unit. Optionally, the user interface 1003 may also include other input / output interfaces, such as a standard wired interface and a wireless interface; the network interface 1004 is used to connect to the base transceiver station and communicate data with the base transceiver station. The network interface 1004 may include an input / output interface, such as a standard wired interface and a wireless interface; the memory 1005 is used to store various types of data. These data may include, for example, instructions of any application or method in the communication base station, as well as data related to the application. The memory 1005 may be a high-speed RAM memory or a stable memory, such as a disk memory. Optionally, the memory 1005 may also be a storage device independent of the processor 1001; specifically, continue to refer to Figure 2 The memory 1005 may include an operating system, a network communication module, a user interface module, and a computer program. The network communication module is mainly used to connect to a server and perform data communication with the server. The processor 1001 is used to call the computer program stored in the memory 1005 and perform the following operations:

[0086] Obtain the engineering parameters and base station coverage type of the base station to be planned, as well as the neighboring area demand type of the base station to be planned; obtain the neighboring area planning range of the base station to be planned based on the engineering parameters; within the neighboring area planning range, perform quadrant slicing processing based on the base station to be planned to obtain multiple planning range slices; within each of the planning range slices, perform layered processing based on the distance between the target base station and the base station to be planned to obtain multiple multi-layered hierarchical neighboring areas of the planning range slices, wherein the target base station is determined according to the neighboring area demand type; according to the base station coverage type, screen and sort the multi-layered hierarchical neighboring areas of the multiple planning range slices to obtain a neighboring area planning result.

[0087] Based on the above communication base station, the following Figure 1 The flowchart shown in FIG. 1 describes in detail the communication base station neighboring cell planning method of this embodiment. The method may include the following steps:

[0088] Step S20: Acquire engineering parameters and base station coverage type of the base station to be planned, as well as the neighboring cell requirement type of the base station to be planned.

[0089] Specifically, the base station to be planned can be a 4G base station or a 5G base station. The engineering parameters include location information and network architecture. The base station coverage types include macro base stations and indoor base stations. The neighboring cell demand type is determined according to the network architecture of the 5G base station to be planned. When the network architecture of the 5G base station to be planned is NSA, the neighboring cell demand types include 5-5 neighboring cells and anchor points; when the network architecture of the 5G base station to be planned is SA, the neighboring cell demand types include 5-5 neighboring cells and 5-4 neighboring cells; when the network architecture of the 5G base station to be planned is a combination of SA&NSA, the neighboring cell demand types include 5-5 neighboring cells, 5-4 neighboring cells and anchor points. This embodiment takes the 5G base station to be planned with a network architecture of SA&NSA as an example.

[0090] Step S40: Obtaining the planned range of the neighboring cells of the base station to be planned according to the engineering parameters.

[0091] Specifically, the cellular algorithm is used to determine the neighborhood planning range for the base station coverage type of the base station to be planned; when the 5G base station to be planned is a macro base station, a preliminary evaluation area is first defined, and then the average station spacing of the target base stations in the area is defined based on the preliminary evaluation area, and then a hexagonal area is constructed with the base station to be planned as the center and a preset multiple of the average station spacing as the radius. This area is the neighborhood planning range of the 5G macro base station, and subsequent neighborhood planning is carried out directly within this range; when the 5G base station to be planned is an indoor base station, based on the station spacing between the macro base stations interacting with it, a hexagonal area is constructed with the base station to be planned as the center and a preset multiple of the macro base station spacing as the radius. This area is the neighborhood planning range of the 5G indoor base station, and subsequent neighborhood planning is carried out directly within this range. Among them, the target base station is a communication base station determined according to the neighboring cell demand type. When the neighboring cell demand type is 5-5 neighboring cell, the corresponding target base station is a 5G base station, including a 5G base station based on SA architecture requirements and a 5G base station based on NSA architecture requirements. When the neighboring cell demand type is 5-4 neighboring cell, the corresponding target base station is a 4G base station based on SA architecture requirements. When the neighboring cell demand type is an anchor point, the corresponding target base station is a 4G base station based on NSA architecture requirements.

[0092] After first determining a valid range, neighborhood planning is performed within the valid range. Compared to the traditional direct neighborhood division method, this is more precise and can improve the accuracy of neighborhood planning. Constructing hexagonal areas, rather than circular areas, can prevent unnecessary areas from being included in the valid range for digital cellular networks like 5G networks, which would increase planning calculations and affect planning efficiency.

[0093] Step S60: within the neighboring cell planning range, quadrant slicing processing is performed based on the base station to be planned to obtain multiple planning range slices.

[0094] Specifically, the neighborhood planning range is divided into four quadrants, with the base station to be planned as the coordinate origin. Slicing is performed in each quadrant. This quadrant-by-quadrant approach simplifies the calculation of slicing angles. Within each quadrant, the line connecting each target base station and the base station to be planned forms an angle with the y-axis. The average of these angles is calculated to obtain a slicing scan angle. The entire quadrant is then sliced based on this slicing scan angle to obtain multiple slices of the planning range.

[0095] Step S80: Within each of the planning range slices, layered processing is performed based on the distance between the target base station and the base station to be planned to obtain multiple multi-layered neighboring areas of the planning range slices, wherein the target base station is determined based on the neighboring area demand type.

[0096] Specifically, after completing the slicing and obtaining multiple planning range slices, there may be multiple target base stations within a slice range. For each target base station, a corresponding hierarchical boundary is set. For example, for the first target base station of a slice, the position of the base station is used to expand outward by a preset distance to divide the straight line boundary, or the position of the base station is used to divide the circular arc boundary, so as to divide the base station into the corresponding layer neighboring areas, and obtain the multi-layer hierarchical neighboring areas of the slice. Correspondingly, the multi-layer hierarchical neighboring areas of multiple planning range slices are obtained.

[0097] Step S100: According to the base station coverage type, the multi-layer hierarchical neighboring cells of the multiple planning range slices are screened and sorted to obtain a neighboring cell planning result.

[0098] Specifically, different hierarchical neighboring cells are selected according to the different coverage types of base stations. For example, for 5G indoor base stations, the nearest layer and the first layer of hierarchical neighboring cells are generally selected, while for 5G macro base stations, the nearest layer and the first three layers of hierarchical neighboring cells are generally selected. According to the range obtained according to the corresponding hierarchical neighboring cells, the cells of the target base stations within the range can be used as neighboring cells, or they can be used as an initial planning result. According to this initial planning result, based on the relevant force calculation values calculated based on factors such as the antenna height, total antenna tilt angle, base station spacing and coverage direction of the base station to be planned, the cells of the initial planning results are prioritized from large to small according to the relevant force calculation values. Finally, according to the preset demand upper limit threshold, the corresponding number of target cells are output to obtain the preliminary neighboring cell planning result. Then, for each neighboring cell demand type, the preliminary neighboring cell planning results are obtained by classification and summarized to obtain the final neighboring cell planning result. For example, for a 5G base station to be planned with a networking architecture of SA&NSA, the above method can be used to obtain a 5G base station based on the NSA architecture requirements, that is, the 5-5 neighboring cell corresponding to the NSA architecture. It is also necessary to continue to obtain preliminary neighboring cell planning results for other types of neighboring cell requirements according to the above method, such as the 5-5 neighboring cell and 5-4 neighboring cell based on the SA architecture, as well as the anchor point based on the NSA architecture. Finally, the classification and summary are the final neighboring cell planning results obtained by automatic planning.

[0099] The communication base station neighborhood planning method provided in this embodiment performs quadrant slicing processing based on the base station to be planned within the neighborhood planning range obtained according to the engineering parameters of the base station to be planned, and performs layered processing within each planning range slice to obtain multi-layer hierarchical neighborhoods of multiple planning range slices, and finally screens and sorts the multi-layer hierarchical neighborhoods of the multiple planning range slices to obtain neighborhood planning results, thereby achieving the purpose of automatically planning the neighborhoods of the communication base station; does not need to rely on manual experience, thereby increasing the accuracy of the communication base station neighborhood planning; automatically performs planning, reduces manual participation, and improves the efficiency of the communication base station neighborhood planning; after slicing and layering, the hierarchical relationship is clear, thereby improving the quality of the communication base station neighborhood planning and the quality of the communication base station's network access.

[0100] Example 2

[0101] Based on the same invention concept, Figures 3 to 14 , a second embodiment of the communication base station neighbor cell planning method of the present invention is proposed, and the method is applied to communication base stations, for example, it can be applied to 5G base stations, such as 5G base stations with SA architecture, 5G base stations with NSA architecture, and 5G base stations with SA&NSA architecture, and can also be applied to communication base stations such as 4G base stations.

[0102] The opening of neighboring cells for a 5G base station requires planning of neighboring cells in combination with the distribution of other surrounding base stations, and the number of neighboring cells should not be too many or too few. This embodiment is explained using the 5G base station to be planned as an example.

[0103] The following combination Figure 3 The flowchart shown in FIG. 1 describes in detail the communication base station neighboring cell planning method of this embodiment. The method may include the following steps:

[0104] Step S10: Establish a real-time engineering parameter database, which includes engineering parameters of base stations that have been opened in the 4G and / or 5G existing network and engineering parameters of base stations in the opening engineering state.

[0105] Specifically, the engineering parameters of both operational base stations and base stations currently under construction in the existing 4G and / or 5G network are collated to establish a real-time engineering parameter database, forming a real-time data source. Base stations currently under construction include planned but not yet operational 4G or 5G base stations and 4G or 5G base stations currently under planning and not yet operational. Base stations currently under planning may be the base stations to be planned that were initiated during step S20 of this method.

[0106] Step S20: Acquire engineering parameters and base station coverage type of the base station to be planned, as well as the neighboring cell requirement type of the base station to be planned.

[0107] Specifically, base station coverage types include macro base stations and indoor base stations. Macro base stations correspond to outdoor coverage scenarios, while indoor base stations correspond to indoor coverage scenarios.

[0108] After step S20 is executed, planning begins. The base station to be planned is a base station that is being planned and has not yet been opened. The real-time engineering parameters of the base station to be planned are all included in the real-time engineering parameter database for easy use in the planning of neighboring cells of other base stations.

[0109] Specifically, step S20 may include:

[0110] Step S21: Acquire engineering parameters and base station coverage types of the base station to be planned from the real-time engineering parameter database, wherein the engineering parameters include the networking architecture of the base station to be planned.

[0111] Specifically, the base station to be planned can be a 4G base station or a 5G base station. The engineering parameters include the location information of the base station, such as longitude and latitude, and the network architecture, such as SA architecture, NSA architecture, and SA&NSA architecture. In specific implementation, the network architecture of the base station to be planned can be determined based on the 5G network architecture field, and the base station coverage type of the base station to be planned can be automatically determined based on the coverage mode and downlink frequency information. Among them, the downlink frequency information, for example, the absolute downlink frequency of SSB (Synchronization Signal and PBCH block).

[0112] Step S22: According to the networking architecture, the neighboring cell requirement type of the base station to be planned is obtained.

[0113] Specifically, the neighboring cell demand type is determined accordingly based on the actual demand and networking architecture of the base station to be planned. For example, when the networking architecture of the 5G base station to be planned is NSA, the neighboring cell demand types include 5-5 neighboring cells and anchor points, i.e., 5G base stations with NSA architecture and anchor points with NSA architecture; when the networking architecture of the 5G base station to be planned is SA, the neighboring cell demand types include 5-5 neighboring cells and 5-4 neighboring cells, i.e., 5G base stations with SA architecture and 4G base stations with SA architecture; when the networking architecture of the 5G base station to be planned is a combination of SA&NSA, the neighboring cell demand types include 5-5 neighboring cells, 5-4 neighboring cells and anchor points, i.e., 5G base stations with NSA architecture, 4G base stations with SA architecture and anchor points with NSA architecture. This embodiment takes the 5G base station to be planned with the networking architecture of SA&NSA as an example.

[0114] Step S40: Obtaining the planned range of the neighboring cells of the base station to be planned according to the engineering parameters.

[0115] Specifically, since there should be neither too many nor too few neighboring cells, evaluating and determining a reasonable neighboring cell planning range can map out a reasonable number of neighboring cells and base stations. Carrying out neighboring cell planning within a reasonable neighboring cell planning range can also improve the efficiency of neighboring cell planning.

[0116] Specifically, the base station coverage type includes a macro base station and an indoor base station; the step S40 may include:

[0117] Step S41: When the base station coverage type is a macro base station, based on the engineering parameters, obtain the preliminary evaluation area of the base station to be planned and the theoretical average station spacing of the communication base stations in the preliminary evaluation area; and construct a hexagon with the base station to be planned as the center and a preset multiple of the theoretical average station spacing as the radius to obtain the neighborhood planning range of the base station to be planned.

[0118] Furthermore, the step S41 may include:

[0119] Step S41.1: Determine a preliminary evaluation area of the base station to be planned using a cellular grid algorithm according to the engineering parameters of the base station to be planned.

[0120] Because 5G networks are digital cellular networks, their coverage areas can be divided into many honeycomb-shaped geographic regions. Therefore, this method ultimately generates honeycomb-shaped, or hexagonal, regions. To obtain a more accurate neighborhood planning range, we first define a honeycomb-shaped preliminary assessment area centered on the planned 5G base station. This area is then used to analyze the distribution of 5G physical base station construction within the area.

[0121] Step S41.2: Obtain the radius of the preliminary evaluation area to obtain the area of the preliminary evaluation area.

[0122] like Figure 4 The figure below shows a schematic diagram of the preliminary evaluation area. Since 5G base stations are typically co-located with GSM and LTE (Long Term Evolution), the typical coverage range of a single GSM station with the strongest comprehensive coverage capability (10 km) can be used as the radius L of the preliminary evaluation area for the 5G base station. The area S of the preliminary evaluation area can then be calculated:

[0123]

[0124] Based on the real-time engineering parameter database, the number N of 5G physical base stations in the preliminary assessment area can be collected.

[0125] During the specific implementation process, the radius L can also be set according to actual conditions to obtain preliminary evaluation areas of different sizes. For example, for a less used rural environment, the radius can be set larger to obtain a larger preliminary evaluation area. For a more used urban environment, the radius can be set smaller to plan more accurate neighboring areas to meet the switching needs of multiple user terminals.

[0126] Step S41.3: Obtain the theoretical average coverage area of the communication base stations according to the area of the preliminary evaluation area and the number of communication base stations in the preliminary evaluation area.

[0127] Based on the area S of the preliminary assessment area and the number N of 5G physical base stations in the preliminary assessment area, the theoretical average coverage area S of a single 5G base station in the preliminary assessment area can be calculated. BS :

[0128]

[0129] Step S41.4: Obtain the theoretical average station spacing of the communication base stations based on the theoretical average coverage area of the communication base stations.

[0130] like Figure 5 The figure shows the schematic diagram of base station sector coverage radius and station spacing. Since the coverage of each sector of the communication base station in the preliminary assessment area is still honeycomb-shaped, the sector coverage radius R of a base station can be obtained according to the following formula:

[0131]

[0132] Thus, the theoretical station spacing d of the base station can be obtained:

[0133]

[0134] According to the above method, the theoretical station spacing d between each base station in the preliminary evaluation area is obtained, and the average value is calculated to obtain the theoretical average station spacing d of 5G base stations in the preliminary evaluation area. Ave :

[0135]

[0136] Step S41.5: construct a hexagon with the base station to be planned as the center and a preset multiple of the theoretical average station spacing as the radius to obtain the neighboring area planning range of the base station to be planned.

[0137] In order to effectively evaluate neighboring cells, combined with the rules for adding neighboring cells in the LTE network, the maximum range of neighboring cells added is three layers in the forward direction and two layers in the reverse direction. Combined with practical applications, this embodiment takes the maximum theoretical (three layers) plus the fault tolerance layer (one layer) as the final planning range of the 5G base station to be planned, that is, with the 5G base station to be planned as the center, 4 times the theoretical average station spacing d Ave Construct a hexagon for the radius and obtain the neighboring area planning range of the planned 5G base station with the base station coverage type of macro base station, such as Figure 6 The figure shows a schematic diagram of the neighboring area planning range of a 5G base station to be planned, where the base station coverage type is a macro base station.

[0138] Step S42: When the base station coverage type is an indoor base station, the spacing radius of the macro base station that interacts with the indoor base station is obtained according to the engineering parameters; and a hexagon is constructed with the base station to be planned as the center and a preset multiple of the spacing radius of the macro base station as the radius to obtain the neighboring area planning range of the base station to be planned.

[0139] Indoor cells mainly cover indoor areas, and interactions with outdoor areas generally involve first-layer macro base stations. The spacing between macro base stations interacting with the indoor base stations is obtained according to the general rules for 5G coverage. For example, the spacing between 2.6GHz 5G macro base stations is about 500m, and the spacing radius of the macro base stations is 250m. For another example, the spacing between 3.5GHz 5G macro base stations is about 350m, and the spacing radius of the macro base stations is 175m. This embodiment takes an indoor base station that interacts with a 2.6GHz 5G macro base station as an example. It is assumed that the indoor base station is located in the middle of the coverage limits of the two macro base stations, that is, 2 times the spacing radius of the macro base stations. Taking into account the extended coverage of the indoor base station, the spacing radius of the macro base station is increased by 1 times, for a total of 3 times the spacing radius of the macro base station. A hexagon is constructed with the 5G base station to be planned as the center and 3 times the spacing radius of the macro base station as the radius, and the neighboring area planning range of the 5G base station to be planned whose base station coverage type is an indoor base station is obtained, such as Figure 7 The figure shows the neighboring area planning range of the planned 5G base station whose base station coverage type is indoor base station.

[0140] Step S50: Determine a target base station within the neighboring cell planning range according to the neighboring cell demand type.

[0141] When the 5G base station to be planned is a macro base station, within the planning range of its neighboring area, the working parameter information of all base stations that meet the neighboring area requirements can be collected according to the real-time working parameter database. For example, for the 5G base station to be planned with the SA&NSA networking architecture of this embodiment, the 5G base station cell with the NSA architecture of the 5G base station to be planned is obtained within the planning range of the neighboring area, that is, the communication base station that meets the 5-5 neighboring area requirements; and the 4G base station cell with the SA architecture, that is, the communication base station that meets the 5-4 neighboring area requirements; and the anchor point of the NSA architecture, and these base station cells are used as target base stations for subsequent planning steps.

[0142] When the 5G base station to be planned is an indoor base station, within the planning range of its neighboring area, the working parameter information of all base stations that meet the neighboring area requirements within the planning range can be collected based on the real-time working parameter database. The collection method can refer to the specific implementation method of step S41.5, which will not be repeated here. The collected base station cell will be used as the target base station for subsequent planning steps.

[0143] Step S60: within the neighboring cell planning range, quadrant slicing processing is performed based on the base station to be planned to obtain multiple planning range slices.

[0144] Specifically, step S60 may include:

[0145] Step S61: Divide the neighboring cell planning range into four quadrants based on the cell azimuth of the base station to be planned and taking the base station to be planned as the origin.

[0146] When looking down at the 5G base station to be planned, take the 5G base station A to be planned as the origin and divide the neighboring area planning range into four quadrants according to the cell azimuth of A. The area of each quadrant is S Quadrant :

[0147]

[0148] Step S62: In each quadrant, the average of the angles between each target base station and the base station to be planned is calculated to obtain a slice scanning angle.

[0149] Define the latitude and longitude (x1, y1) of the planned 5G base station A, connect it with the target base station in each quadrant, and in each single quadrant, calculate the angle θ between the connection line and the y-axis of the quadrant, as follows: Figure 8 The figure shows a schematic diagram of the angle between the target base station and the base station to be planned. The average value of all angles in a single quadrant is used as the scanning angle for slicing processing in the quadrant.

[0150] In the specific implementation process, taking the first quadrant as an example, Figure 8 As shown, the longitude and latitude of the target base station B are defined as (x2, y2), and the connection line L between the 5G base station to be planned and the target base station is:

[0151]

[0152] Where w represents the conversion coefficient of the WGS84 coordinate system, that is, the major semi-axis of the WGS84 ellipsoid, w = 6378137;

[0153] Based on the location of the target base station, draw a perpendicular line l from the target base station to the quadrant y-axis point C (x1, y2):

[0154]

[0155] Based on the line L between the planned 5G base station and the target base station and the perpendicular line l of the target base station perpendicular to the y-axis of the quadrant, calculate the angle θ between the line and the y-axis of the quadrant:

[0156]

[0157] According to the number n of target base stations in the quadrant, the angle θ between the line connecting each target base station and the planned 5G base station and the y-axis of the quadrant is obtained, and then the average value of all angles θ is calculated to obtain the slice scanning angle θ of the first quadrant S :

[0158]

[0159] Among them, θ iIt is the angle between the line connecting any target base station and the 5G base station to be planned and the y-axis of the quadrant, i∈(1,n).

[0160] Step S63: Slice the quadrant according to the slice scanning angle to obtain multiple planning range slices.

[0161] like Figure 9 The figure shows a schematic diagram of slicing the first quadrant according to the slicing scanning angle. In this embodiment, the first quadrant is continued as an example. According to the slicing scanning angle of step S62, the first quadrant, that is, the target base station cell in the sector with the y-axis of the quadrant as the first boundary and the x-axis of the quadrant as the second boundary within the neighboring area planning range, is sliced. A single quadrant of 90° can be divided into t angles θ S The area and 1 angle θ T Therefore, this quadrant can obtain t+1 planning range slices, where

[0162]

[0163] θ T =90°-t×θ S .

[0164] According to the above method, continue to obtain the slice scanning angle θ of the second quadrant, the third quadrant, and the fourth quadrant S , and slice the quadrant according to the slice scanning angle, so as to divide the neighborhood planning range into multiple planning range slices. For the sake of brevity of the description, it will not be repeated here.

[0165] Step S80: Within each of the planning range slices, layered processing is performed based on the distance between the target base station and the base station to be planned to obtain multiple multi-layered neighboring areas of the planning range slices, wherein the target base station is determined based on the neighboring area demand type.

[0166] Intelligent slicing and layering of target base station cells within the neighborhood planning range can adapt to the neighborhood needs of various scenarios, such as the neighborhood needs of different scenarios in urban and rural areas.

[0167] Specifically, step S80 may include:

[0168] Step S81: within each of the planning range slices, draw a straight line perpendicular to the line connecting the target base station and the base station to be planned, and obtain the distance between the straight line and the intersection points of the two boundaries of the planning range slice;

[0169] Step S82: Obtaining an arc radius according to the distance between the target base station and the base station to be planned and the distance between the straight line and the two boundary intersections of the planning range slice;

[0170] Step S83: Taking the target base station as the origin and the arc radius as the radius, obtaining a layered arc;

[0171] Step S84: Slice the planning range into multiple layers of adjacent areas according to the layered arcs.

[0172] like Figure 10 The figure shows a schematic diagram of layering the planning range slices. Within each planning range slice, this embodiment takes the first planning range slice in the first quadrant as an example for explanation. The number of layers is defined as K. The boundary lines of each layer in the slice and the corresponding layered neighboring areas are:

[0173] Near neighboring area with K=0: The site cells within the circular boundary within the preset range around the origin centered on the 5G base station to be planned are the near neighboring areas, such as Figure 10 The K=0 arc boundary shown;

[0174] K=1 first-layer neighboring area: remove the site cells in the near-layer neighboring area, divide the arc boundary by the target base station closest to the planned 5G base station, and take the site cells within the arc boundary as the first-layer neighboring area, such as Figure 10 The arc boundary with K=1 is shown in the figure. The specific calculation process of the arc boundary is to draw a straight line perpendicular to the line L connecting the target base station and the 5G base station to be planned, and obtain the distance J between the straight line and the two boundary intersection points D and F of the planning range slice:

[0175] J=L×{tan(θ-t×θ S )+tan[(t+1)×θ S -θ]},

[0176] The arc radius r is obtained based on the distance J:

[0177]

[0178] Then, with the target base station as the origin, draw an arc with a radius of r that intersects the two boundaries of the planning range slice, i.e., a layered arc. The site cells within the layered arc and outside the arc boundary with K=0 are layered neighboring cells.

[0179] Second-layer neighboring cells with K=2: Eliminate the sites and cells in the near-layer neighboring cells and the first-layer neighboring cells, and divide the arc boundary by the target base station that is second closest to the planned 5G base station. The specific process is similar to the calculation process of the arc boundary described above. Another layered arc can be obtained. The sites and cells within this layered arc but outside the arc boundary with K=1 are second-layer neighboring cells.

[0180] Three-layer neighboring area with K=3: Eliminate the site cells in the near-layer neighboring area, the first-layer neighboring area, and the second-layer neighboring area, and divide the arc boundary by the target base station that is third closest to the planned 5G base station. The specific process refers to the calculation process of the arc boundary above, and another layered arc can be obtained. The site cells within the layered arc and outside the K=2 arc boundary are the three-layer neighboring areas.

[0181] According to the above method, the first planning range slice of the first quadrant is divided into 4 layers of neighboring cells. In the same way, other planning range slices of the first quadrant are divided into multiple layers of neighboring cells. The specific number of neighboring cell layers obtained by division needs to be determined according to the number of target base stations in the slice, for example, Figure 10 In the example, the third and fourth planning range slices are divided into only two layers of adjacent areas. In this embodiment, each slice is divided into a maximum of 4 layers, and those with more than 4 layers are directly excluded. For example, Figure 10 In the example, the outermost layers of the second and fifth planning range slices exceed four layers. Therefore, base station cells outside the K = 3 arc boundaries will not be included in the planning area after slicing. Similarly, the planning range slices of the second, third, and fourth quadrants are layered to obtain multiple layers of hierarchical neighboring areas for the multiple planning range slices. This embodiment obtains four layers of hierarchical neighboring areas for the multiple planning range slices, from near-layer neighboring areas to three-layer neighboring areas.

[0182] Step S100: According to the base station coverage type, the multi-layer hierarchical neighboring cells of the multiple planning range slices are screened and sorted to obtain a neighboring cell planning result.

[0183] Specifically, the step S100 may include:

[0184] Step S101: Filtering a preset number of hierarchical neighboring cells according to the base station coverage type to obtain a preliminary planned neighboring cell;

[0185] In specific implementations, depending on the base station coverage type, when the base station to be planned is a macro base station, the preliminary planned neighboring cells may be: K = 0 to 3, i.e., near-layer neighboring cells, first-layer neighboring cells, second-layer neighboring cells, and third-layer neighboring cells; when the base station to be planned is an indoor base station, the preliminary planned neighboring cells may be: K = 0, 1, i.e., near-layer neighboring cells and first-layer neighboring cells. This embodiment uses a macro base station as an example to obtain the corresponding preliminary planned neighboring cells.

[0186] Step S102: Obtain a correlation force calculation value between the base station to be planned and the preliminary planned neighboring cell according to the antenna height, total antenna tilt angle, base station spacing and coverage direction of the base station to be planned.

[0187] In the specific implementation process, the correlation force calculation value P of the planned 5G base station with the preliminary planned neighboring area under the factors of antenna height, total antenna tilt angle, base station spacing and coverage direction is constructed based on the 5G Uma-3D path loss model.N :

[0188]

[0189] in, Indicates the impact of P N The antenna height factor, h P Indicates the antenna height of the base station to be planned, h Ave Indicates the average antenna height of the target base station in the preliminary planned neighboring area, unit: m;

[0190] f i Indicates the impact of P N The total antenna tilt coefficient of the value, i Ave It represents the average total downtilt angle of the target base station antenna in the preliminary planned neighboring area, i P : Indicates the total downtilt angle of the antenna of the base station to be planned, unit: °;

[0191] Indicates the impact of P N The base station spacing coefficient of the value, d Ave represents the average distance between target base stations in the preliminary planned neighborhood, d P : Indicates the horizontal distance between the base station to be planned and the target base station, unit: m;

[0192] f A Indicates the impact of P N The symbiosis coefficient of the azimuth angle of the value, A P Indicates the angle between the coverage direction of the planned base station and the coverage direction of the target base station in the preliminary planned adjacent area, unit: °;

[0193] Among them, when hour, The value is 1, when hour, The value is 0.1, when hour, The value is 0.1.

[0194] The above 5G Uma-3D path loss model is shown in Table 1:

[0195] Table 1

[0196]

[0197]

[0198] In Table 1 above, BS represents a base station, i.e., a 5G base station to be planned in this embodiment, and UT represents a user terminal;

[0199] PL represents path loss, unit: dB; σ SFIndicates the standard deviation of shadow fading, unit: dB; f c Indicates operating frequency, unit: GHz; h BS Indicates the actual height of the base station antenna, unit: m; h UT Indicates the actual height of the terminal antenna, unit: m; h indicates the building height, unit: m; W indicates the street / scene width, unit: m; d 2D Indicates the horizontal distance between the base station and the terminal, unit: m; d 3D Indicates the straight-line distance between the base station antenna and the terminal antenna, unit: m; Where h′ BS Indicates the effective height of the base station antenna, h′ BS =h BS -h E ; h′ UT Indicates the effective height of the terminal antenna, h′ UT =h UT -h E ;h E Represents the effective environment height, c represents the propagation speed of light / electromagnetic waves in a vacuum, c=299792458, unit: m / s.

[0200] According to the path loss given in the above 5G Uma-3D path loss model, the antenna height coefficient can be obtained Antenna total tilt coefficient f i , base station spacing coefficient and the symbiosis coefficient f of the azimuth angle A , the specific calculation process is:

[0201] (1) Antenna height factor

[0202] The actual height of the base station antenna h BS It refers to the height from the lower edge of the antenna to the horizontal ground. According to the 4-layer hierarchical neighborhood range of this embodiment obtained in step S80, the number of target base stations within the range is defined as m, and the height of the target base station antenna is h. j , j∈(1,m), the average height of the target base station antenna within this range is h Ave , get the height sampling standard deviation σ h for:

[0203]

[0204] Among them, σ m Represents the height sampling error coefficient, using σ m The discrete fluctuation of antenna height values within the statistical layered neighborhood, σ mThe smaller the value, the more average the antenna heights of the target cells within the range are. That is, the antenna height of the 5G base station to be planned is less sensitive to the impact on the target base station, and vice versa.

[0205] Based on the 5G Uma-3D path loss model, within a certain range of environmental factors, namely h UT d 2D ,h,W,d′ BP 、h E It should be consistent with the 5G base station to be planned. The maximum discrete value of the average height of the target base station antenna within the 4-layer hierarchical neighborhood of this embodiment is defined as h T :

[0206]

[0207] in, and Respectively represent h T With h Ave Uma-3D coverage loss under the influence of h T With h Ave The height difference between The Uma-3D coverage loss variable is The antenna height coefficient can be obtained

[0208]

[0209] (2) Antenna total tilt coefficient f i

[0210] The total antenna tilt angle refers to the sum of the antenna's built-in electronic tilt angle and the angle between the antenna and the vertical plane (mechanical tilt angle). The size of the total antenna tilt angle directly affects the effective coverage distance of the base station cell. This embodiment defines the vertical half-power angle of the base station antenna as ε, that is, the angle at which the power drops to half of the main lobe direction by 3dB, such as Figure 11 The figure shows a schematic diagram of the general model of base station antenna tilt angle and coverage distance. In the figure, R represents the theoretical coverage radius, and the total downtilt angle i of the base station cell antenna is:

[0211]

[0212] Based on this general model, the relationship between the target base station antenna downtilt angle and the maximum theoretical coverage radius can be derived as follows:

[0213]

[0214] Among them, R Ave Indicates the farthest theoretical coverage radius, i Averepresents the average total downtilt angle of the target base station cell antenna within the four-layer hierarchical neighboring area of this embodiment, ε Ave Indicates the average vertical half-power angle of the target base station antenna;

[0215] Add downdip sampling error coefficient σ m1 , vertical half-power angle sampling error coefficient σ m2 , the sensitivity of the target base station antenna tilt angle and vertical half-power angle to the target base station cell, the derivation method and the height sampling error coefficient σ m After adding the sampling error, the maximum discrete values of the average tilt angle and the vertical half-power angle are defined as i T and ε T :

[0216] i T =(1+σ m1 )×i Ave ε T =(1-σ m2 )×ε Ave ,

[0217] Maximum average coverage radius of the target base station cell under the action of discrete values

[0218]

[0219] Thus, the total antenna tilt coefficient f can be obtained i :

[0220]

[0221] (3) Base station spacing coefficient

[0222] Base station spacing refers to the average horizontal distance between the planned 5G base station and the target base station.

[0223]

[0224] Among them, σ m3 is the maximum fluctuation coefficient of all horizontal distance values of m target base stations within the 4-layer hierarchical neighborhood range of this embodiment;

[0225] According to the 5G Uma-3D path loss model, it is defined The Uma-3D coverage loss under the influence is The maximum horizontal distance after adding the fluctuation coefficient is The Uma-3D coverage path loss under its influence is The following relationship is obtained:

[0226]

[0227] So we can get the base station spacing coefficient

[0228]

[0229] (4) Symbiosis coefficient f of azimuth angle A

[0230] Whether the planned base station and its neighboring cells conflict with each other and the degree of conflict are one of the key factors in planning. The planned base station is connected to the target base station within the 4-layered neighboring area. The length of the connection is set to L1. The angle between the coverage direction of the planned base station cell and the connection is defined as α1, and the angle between the coverage direction of the target base station cell and the connection is defined as β1. Figure 12 The figure shows the angle between any target base station and the base station to be planned. P The calculation formula is:

[0231] A P =α+β,

[0232] Among them, α=min(α1,360°-α1), β=min(β1,360°-β1);

[0233] When the 4-layer hierarchical neighboring area range is in different quadrants around the base station to be planned, A P The calculation method is also different. Here we still take the first quadrant of the 4-layer hierarchical neighborhood range as an example to illustrate. According to the above definition: the 5G base station to be planned is point A, the target base station is point B, and the vertical correlation point C of the longitude and latitude of base stations A and B can be obtained, such as Figure 13 The figure shows the calculation diagram of the azimuth angle between any target base station and the base station to be planned. The distance between points A and B is L1, the horizontal distance between points A and B is L2, and the vertical distance between points A and B is L3. The azimuth angle of the 5G base station A to be planned is γ, the azimuth angle of the target base station B is δ, ∠BAC is ∠A, ∠ABC is ∠B, and ∠ACB is ∠C. Then:

[0234] L1=|(x1,y1)-(x2,y2)|,

[0235] The specific calculation process of L1 refers to the process of calculating L in step S62, which will not be repeated here;

[0236] Get the coordinates of point C:

[0237]

[0238] Continue to get the horizontal distance L2:

[0239]

[0240] Vertical distance L3:

[0241]

[0242] as well as

[0243]

[0244]

[0245] Based on the above information, we can continue to deduce that when B is located in the four quadrants of A, the corresponding azimuth angle A P The specific calculation formula of α and β is:

[0246]

[0247]

[0248] Thus, the azimuth angle A can be clearly obtained P ;

[0249] Then we can continue to get the azimuth angle mean A Ave Based on the factors of the influence trend of the two cells being neighbors and the azimuth angle, that is, the larger the angle between the two cells and the more back-to-back coverage, the smaller the correlation, the symbiosis coefficient f of the azimuth angle can be obtained. A :

[0250]

[0251] According to the above process, the correlation force calculation value P between each target base station and the 5G base station to be planned is finally obtained. N .

[0252] Step S103: sorting and outputting the preliminary planned neighboring areas according to the relevant force calculation value and the preset demand upper limit threshold to obtain preliminary neighboring area planning results.

[0253] Specifically, based on one of the neighboring cell demand types, for example, for the 5G base station to be planned in this embodiment, first obtain the target base station corresponding to the 5-5 neighboring cell demand type, that is, the 5G base station of the NSA architecture, and calculate the correlation value P between it and the 5G base station to be planned. N , calculated value P according to the relevant force N Sort by size, and combine the equipment capacity, i.e. the number of cells, with the upper limit threshold of the customized demand for each type of neighborhood planning to output the sorting and obtain the preliminary neighborhood planning results.

[0254] The upper limit threshold of the customized demand quantity can be set according to the actual situation, for example, according to Table 2:

[0255] Table 2

[0256]

[0257] According to the settings in Table 2, the 5G macro base station to be planned in this embodiment first obtains the top 270 target base station cells with the relevant force calculation value of the demand type 5-5 neighboring area as the preliminary neighboring area planning result.

[0258] Step S104: According to the neighborhood demand type, the preliminary neighborhood planning results are obtained by classification and summarized to obtain the final neighborhood planning results.

[0259] Specifically, different to-be-planned base station network architectures correspond to different neighboring cell demand types, so it is necessary to obtain different neighboring cell demand types as relevant force calculation values for the target base station, such as Figure 13 The figure shows a flow chart for obtaining the final neighboring cell planning results in this embodiment. This embodiment is a 5G macro base station with an SA & NSA architecture. First, it is necessary to obtain the relevant force calculation values of the 5-4 neighboring cells corresponding to its SA architecture, that is, the target base station is a 4G base station with an SA architecture; the 5-5 neighboring cells corresponding to the SA architecture, that is, the target base station is a 5G base station with an SA architecture; the 5-5 neighboring cells corresponding to the NSA architecture, that is, the target base station is a 5G base station with an NSA architecture; and the 5-4 anchor points corresponding to the NSA architecture, that is, the target base station is a 4G base station with an NSA architecture. Finally, after classifying and obtaining the relevant force calculation values of each neighboring cell demand type, they are summarized and sorted, and according to the preset demand upper limit threshold, the corresponding number of target base station information is output as the final neighboring cell planning result.

[0260] The communication base station neighbor cell planning method provided in this embodiment achieves a reasonable number of planned neighbor cells, ensuring that the number is neither too many nor too few. This prevents excessive consumption of measurement time and network system resources, and prevents issues such as dropped calls, disconnections, and poor user experience. Furthermore, the method includes base stations currently under commissioning, thus supporting the simultaneous planning of neighbor cells for a large number of base stations to be planned, improving the efficiency of 5G base station network access. This embodiment proposes a real-time engineering parameter database, which promptly obtains a database of planned base stations and can avoid the problems of missing and inaccurate planning engineering parameter data sources. A cellular algorithm is applied according to the coverage type of the base station, first obtaining a neighboring cell planning range before conducting neighboring cell planning. This approach not only more scientifically and effectively determines suitable neighboring cells, but also improves the efficiency of neighboring cell planning. It eliminates the need to divide overly distant base stations into a range that increases the computational workload, and eliminates the problem of repeated calculation of certain neighboring cells that occurs when using a circular planning range. An innovative quadrant slicing and layering processing method is proposed, which fully references the distribution of communication base stations around the planned base station for intelligent slicing and layering, making the neighboring cell hierarchy clearer and further improving planning efficiency. This embodiment also innovatively proposes a method for calculating relevant force calculation values, intelligently assigning priorities to preliminary planning results, and improving the quality of neighboring cell planning. Finally, an innovative upper limit on the number of neighboring cell type plans is proposed, and the optimal neighboring cell planning result with a high priority that meets the requirements is automatically screened and output in combination with the relevant force calculation value, further improving the quality of neighboring cell planning. The method of this embodiment can be fully automated, avoiding manual experience intervention, and effectively improving the efficiency and quality of 5G neighboring cell planning. It is suitable for product development or automatic planning applications for the commissioning of large-scale 5G base stations.

[0261] Example 3

[0262] Based on the same invention concept, Figure 15 , proposes the first embodiment of the communication base station neighboring area planning device of the present invention, the communication base station neighboring area planning device can be a virtual device, applied to the communication base station. Figure 15 The functional module diagram shown in FIG. 1 describes in detail the communication base station neighboring cell planning device provided in this embodiment. The device may include:

[0263] A parameter acquisition module, configured to acquire engineering parameters and base station coverage type of a base station to be planned, as well as a neighboring cell requirement type of the base station to be planned;

[0264] A planning range acquisition module, configured to obtain a neighboring area planning range of the base station to be planned according to the engineering parameters;

[0265] A quadrant slice processing module is used to perform quadrant slice processing based on the base station to be planned within the neighboring cell planning range to obtain multiple planning range slices;

[0266] a hierarchical processing module, configured to perform hierarchical processing within each of the planning range slices according to the distance between the target base station and the base station to be planned, to obtain a plurality of multi-layer hierarchical neighboring areas of the planning range slices, wherein the target base station is determined according to the neighboring area requirement type;

[0267] The planning result module is used to screen and sort the multi-layer hierarchical neighboring areas of the multiple planning range slices according to the base station coverage type to obtain the neighboring area planning results.

[0268] Furthermore, the device may further include:

[0269] A database module is used to establish a real-time engineering parameter database, which includes engineering parameters of base stations that have been opened in the 4G and / or 5G existing network and engineering parameters of base stations in the opening engineering state;

[0270] The parameter acquisition module specifically includes:

[0271] An engineering parameter acquisition unit, configured to acquire engineering parameters and base station coverage type of the base station to be planned from the real-time engineering parameter database, wherein the engineering parameters include the networking architecture of the base station to be planned;

[0272] A neighboring cell demand acquisition unit is used to obtain the neighboring cell demand type of the base station to be planned according to the networking architecture.

[0273] Furthermore, the base station coverage type includes a macro base station and an indoor base station; and the planning range acquisition module includes:

[0274] A first planning range acquisition unit is configured to, when the base station coverage type is a macro base station, obtain, based on the engineering parameters, a preliminary evaluation area of the base station to be planned and a theoretical average station spacing of communication base stations within the preliminary evaluation area; and construct a hexagon with the base station to be planned as the center and a preset multiple of the theoretical average station spacing as the radius to obtain a neighboring area planning range of the base station to be planned;

[0275] The second planning range acquisition unit is used to obtain the spacing radius of the macro base station that interacts with the indoor base station according to the engineering parameters when the base station coverage type is an indoor base station; and to construct a hexagon with the base station to be planned as the center and the spacing radius of the macro base station as a preset multiple as the radius to obtain the neighboring area planning range of the base station to be planned.

[0276] Furthermore, the first planning range acquisition unit specifically includes:

[0277] A preliminary evaluation area acquisition subunit is used to determine the preliminary evaluation area of the base station to be planned using a cellular grid algorithm according to the engineering parameters of the base station to be planned;

[0278] a preliminary assessment region area acquisition subunit, configured to acquire the radius of the preliminary assessment region to obtain the area of the preliminary assessment region;

[0279] a theoretical average coverage area acquisition subunit, configured to obtain the theoretical average coverage area of the communication base station according to the area of the preliminary evaluation area and the number of communication base stations in the preliminary evaluation area;

[0280] The theoretical average station spacing acquisition subunit is used to obtain the theoretical average station spacing of the communication base stations based on the theoretical average coverage area of the communication base stations.

[0281] Furthermore, the quadrant slice processing module specifically includes:

[0282] A quadrant division unit, configured to divide the neighboring cell planning range into four quadrants based on the cell azimuth of the base station to be planned and taking the base station to be planned as the origin;

[0283] A scanning angle acquisition unit is used to calculate the average of the angles between each target base station and the base station to be planned in each quadrant to obtain a slice scanning angle;

[0284] The slice acquisition unit is used to slice the quadrant according to the slice scanning angle to obtain multiple planning range slices.

[0285] Furthermore, the layered processing module specifically includes:

[0286] A first parameter acquisition unit is configured to draw a straight line perpendicular to a line connecting the target base station and the base station to be planned within each of the planning range slices, and obtain a distance between the straight line and two boundary intersection points of the planning range slice;

[0287] A second parameter acquisition unit is configured to obtain an arc radius according to a distance between the target base station and the base station to be planned and a distance between two intersection points of the straight line and the two boundaries of the planning range slice;

[0288] a layered arc obtaining unit, configured to obtain a layered arc with the target base station as an origin and the arc radius as a radius;

[0289] The hierarchical neighboring area acquisition unit is used to slice and divide the planning range into multiple layers of hierarchical neighboring areas according to the hierarchical arcs.

[0290] Furthermore, the planning result module specifically includes:

[0291] A preliminary planned neighboring cell acquisition unit is configured to screen a preset number of hierarchical neighboring cells according to the base station coverage type to obtain a preliminary planned neighboring cell;

[0292] A correlation force calculation unit is configured to obtain a correlation force calculation value between the base station to be planned and the preliminary planned neighboring cell according to the antenna height, total antenna tilt angle, base station spacing, and coverage direction of the base station to be planned;

[0293] A preliminary neighboring area planning result obtaining unit is configured to sort and output the preliminary planned neighboring areas according to the relevant force calculation value and the preset demand upper limit threshold to obtain a preliminary neighboring area planning result;

[0294] The final neighboring area planning result obtaining unit is used to obtain the preliminary neighboring area planning results by category according to the neighboring area demand type and summarize them to obtain the final neighboring area planning result.

[0295] It should be noted that the functions that can be realized by each module in the communication base station neighbor cell planning device provided in this embodiment and the corresponding technical effects achieved can refer to the description of the specific implementation methods in each embodiment of the communication base station neighbor cell planning method of the present invention. For the sake of brevity of the specification, they will not be repeated here.

[0296] Example 4

[0297] Based on the same invention concept, Figure 2 , which is a schematic diagram of the hardware structure of a communication base station involved in various embodiments of the present invention. This embodiment provides a communication base station, which may include a processor and a memory. The memory stores a computer program. When the computer program is executed by the processor, it implements all or part of the steps of various embodiments of the communication base station neighborhood cell planning method of the present invention.

[0298] Specifically, the communication base station refers to an interface device or radio station that can provide wireless coverage, that is, realize wireless signal transmission between the wired communication network and the wireless terminal. It can be understood that the communication base station may also include a communication bus, a user interface and a network interface.

[0299] The communication bus is used to enable communication between these components. The user interface is used to connect to a wireless terminal and communicate data with the wireless terminal. The user interface may include an output unit and an input unit. Optionally, the user interface may also include other input / output interfaces, such as a standard wired interface or a wireless interface. The network interface is used to connect to a base transceiver station and communicate data with the base transceiver station. The network interface may include an input / output interface, such as a standard wired interface or a wireless interface. The memory is used to store various types of data. For example, this data may include instructions for any application or method in the communication base station, as well as data related to the application. The memory can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, magnetic disk or optical disk. Optionally, the memory can also be a storage device independent of the processor. The processor is used to call the computer program stored in the memory to execute all or part of the steps of each embodiment of the communication base station neighborhood planning method as described above. The processor can be an application-specific integrated circuit (ASIC), a digital signal processor (DSP), a digital signal processing device (DSPD), a programmable logic device (PLD), a field programmable gate array (FPGA), a controller, a microcontroller, a microprocessor or other electronic components.

[0300] Example 5

[0301] Based on the same inventive concept, this embodiment provides a computer-readable storage medium, such as a flash memory, a hard disk, a multimedia card, a card-type memory (for example, an SD or DX memory, etc.), a random access memory (RAM), a static random access memory (SRAM), a read-only memory (ROM), an electrically erasable programmable read-only memory (EEPROM), a programmable read-only memory (PROM), a magnetic memory, a disk, an optical disk, a server, etc., wherein a computer program is stored on the storage medium, and the computer program can be executed by one or more processors. When the computer program is executed by the processor, all or part of the steps of each embodiment of the communication base station neighborhood planning method of the present invention can be implemented.

[0302] The above descriptions are merely optional embodiments of the present invention and do not limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made by utilizing the contents of the present invention specification and drawings under the inventive concept of the present invention, or directly or indirectly applied in other related technical fields, are included in the patent protection scope of the present invention.

Claims

1. A method for planning neighboring cells of a communication base station, characterized in that: The method comprises the following steps: Obtaining engineering parameters and base station coverage type of the base station to be planned, as well as the neighboring cell requirement type of the base station to be planned; Obtaining a planned range of neighboring cells of the base station to be planned according to the engineering parameters; Within the neighboring cell planning range, quadrant slicing processing is performed based on the base station to be planned to obtain multiple planning range slices, wherein the quadrant slicing processing is to divide the neighboring cell planning range into four quadrants based on the base station to be planned, and then slice each quadrant at a slice scanning angle; Within each of the planning range slices, hierarchical processing is performed based on the distance between the target base station and the base station to be planned, to obtain multiple layers of hierarchical neighboring areas of the planning range slices, wherein the target base station is determined based on the type of neighboring area requirement, and the hierarchical processing refers to dividing each target base station into a corresponding layer of neighboring areas based on a preset hierarchical boundary, and the hierarchical boundary is a boundary obtained by expanding a preset distance outward based on the position of the target base station; According to the base station coverage type, the multi-layer hierarchical neighboring areas of the multiple planning range slices are screened and sorted to obtain a neighboring area planning result.

2. The method for planning neighboring cells of a communication base station according to claim 1, wherein: Before the step of obtaining the engineering parameters and base station coverage type of the base station to be planned, and the neighboring area requirement type of the base station to be planned, the method further includes: Establish a real-time engineering parameter database, which includes engineering parameters of base stations that have been opened in the 4G and / or 5G existing network and engineering parameters of base stations in the opening engineering state; The step of obtaining the engineering parameters and base station coverage type of the base station to be planned, and the neighboring area requirement type of the base station to be planned, specifically includes: Acquire engineering parameters and base station coverage types of the base station to be planned from the real-time engineering parameter database, wherein the engineering parameters include the networking architecture of the base station to be planned; According to the networking architecture, a neighboring cell requirement type of the base station to be planned is obtained.

3. The method for planning neighboring cells of a communication base station according to claim 1, wherein: The base station coverage types include macro base stations and indoor base stations; The step of obtaining the neighboring cell planning range of the base station to be planned according to the engineering parameters specifically includes: When the base station coverage type is a macro base station, a preliminary evaluation area of the base station to be planned and a theoretical average station spacing of communication base stations within the preliminary evaluation area are obtained according to the engineering parameters; and a hexagon is constructed with the base station to be planned as the center and a preset multiple of the theoretical average station spacing as the radius to obtain a neighboring area planning range of the base station to be planned; When the base station coverage type is an indoor base station, the spacing radius of the macro base station interacting with the indoor base station is obtained according to the engineering parameters; and a hexagon is constructed with the base station to be planned as the center and a preset multiple of the spacing radius of the macro base station as the radius to obtain the neighboring area planning range of the base station to be planned.

4. The method for planning neighboring cells of a communication base station according to claim 3, wherein: The step of obtaining, based on the engineering parameters, a preliminary evaluation area of the base station to be planned and a theoretical average station spacing of communication base stations within the preliminary evaluation area specifically includes: Determining a preliminary evaluation area of the base station to be planned using a cellular grid algorithm according to engineering parameters of the base station to be planned; Obtaining the radius of the preliminary evaluation area to obtain the area of the preliminary evaluation area; Obtaining a theoretical average coverage area of the communication base stations according to the area of the preliminary evaluation area and the number of communication base stations within the preliminary evaluation area; According to the theoretical average coverage area of the communication base station, the theoretical average station spacing of the communication base station is obtained.

5. The method for planning neighboring cells of a communication base station according to claim 1, wherein: The step of performing quadrant slicing processing based on the base station to be planned within the neighboring cell planning range to obtain multiple planning range slices specifically includes: According to the cell azimuth of the base station to be planned, the neighboring cell planning range is divided into four quadrants with the base station to be planned as the origin; In each quadrant, the angles between each target base station and the base station to be planned are averaged to obtain a slice scanning angle; The quadrant is sliced according to the slice scanning angle to obtain a plurality of planning range slices.

6. The method for planning neighboring cells of a communication base station according to claim 1, wherein: The step of performing hierarchical processing within each of the planning range slices according to the distance between the target base station and the base station to be planned to obtain multiple layers of hierarchical neighboring areas of the planning range slices specifically includes: In each of the planning range slices, a straight line perpendicular to the line connecting the target base station and the base station to be planned is drawn, and the distance between the straight line and the intersection points of the two boundaries of the planning range slice is obtained; Obtaining an arc radius according to the distance between the target base station and the base station to be planned and the distance between the straight line and the two boundary intersections of the planning range slice; Taking the target base station as the origin and the arc radius as the radius, a layered arc is obtained; According to the hierarchical arcs, the planning range is sliced into multiple layers of hierarchical neighboring areas.

7. The method for planning neighboring cells of a communication base station according to claim 1, wherein: The step of screening and sorting the multi-layer hierarchical neighboring cells of the multiple planning range slices according to the base station coverage type to obtain the neighboring cell planning results specifically includes: According to the base station coverage type, screening a preset number of hierarchical neighboring cells to obtain preliminary planned neighboring cells; Obtaining a correlation force calculation value between the base station to be planned and the preliminary planned neighboring cell according to the antenna height, total antenna tilt angle, base station spacing, and coverage direction of the base station to be planned; Sorting and outputting the preliminary planned neighboring areas according to the relevant force calculation value and the preset demand upper limit threshold to obtain a preliminary neighboring area planning result; According to the type of the neighboring area demand, the preliminary neighboring area planning results are obtained by classification and summarized to obtain the final neighboring area planning results.

8. A communication base station neighboring area planning device, characterized in that: The device comprises: A parameter acquisition module is used to obtain the engineering parameters and base station coverage type of the base station to be planned, as well as the neighboring area requirement type of the base station to be planned; A planning range acquisition module, configured to obtain a neighboring area planning range of the base station to be planned according to the engineering parameters; a quadrant slicing processing module, configured to perform quadrant slicing processing within the neighboring cell planning range based on the base station to be planned to obtain a plurality of planning range slices, wherein the quadrant slicing processing refers to dividing the neighboring cell planning range into four quadrants based on the base station to be planned and performing slicing processing on each quadrant at a slicing scanning angle; a hierarchical processing module, configured to perform hierarchical processing within each of the planning range slices based on the distance between the target base station and the base station to be planned, to obtain multiple layers of hierarchical neighboring areas of the planning range slices, wherein the target base station is determined based on the type of neighboring area requirement, and the hierarchical processing refers to dividing each target base station into a corresponding layer of neighboring areas based on a preset hierarchical boundary, wherein the hierarchical boundary is a boundary obtained by expanding a preset distance outward based on the position of the target base station; The planning result module is used to screen and sort the multi-layer hierarchical neighboring areas of the multiple planning range slices according to the base station coverage type to obtain the neighboring area planning results.

9. A communication base station, characterized in that: The communication base station includes a memory and a processor, and a computer program is stored in the memory. When the computer program is executed by the processor, the communication base station neighbor cell planning method according to any one of claims 1 to 7 is implemented.

10. A storage medium having a computer program stored thereon, characterized in that: The computer program can be executed by one or more processors to implement the communication base station neighbor cell planning method as described in any one of claims 1 to 7.

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