CN115412926A - Base station site planning method, base station site planning system, equipment and medium - Google Patents

Base station site planning method, base station site planning system, equipment and medium Download PDF

Info

Publication number
CN115412926A
CN115412926A CN202110581308.XA CN202110581308A CN115412926A CN 115412926 A CN115412926 A CN 115412926A CN 202110581308 A CN202110581308 A CN 202110581308A CN 115412926 A CN115412926 A CN 115412926A
Authority
CN
China
Prior art keywords
site
candidate
base station
target
determining
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202110581308.XA
Other languages
Chinese (zh)
Inventor
刘光轶
幸锋
董江波
黄富
程俊林
孙伟
马力鹏
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
China Mobile Communications Group Co Ltd
China Mobile Group Design Institute Co Ltd
Original Assignee
China Mobile Communications Group Co Ltd
China Mobile Group Design Institute Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by China Mobile Communications Group Co Ltd, China Mobile Group Design Institute Co Ltd filed Critical China Mobile Communications Group Co Ltd
Priority to CN202110581308.XA priority Critical patent/CN115412926A/en
Publication of CN115412926A publication Critical patent/CN115412926A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W16/00Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • H04W16/18Network planning tools
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W16/00Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • H04W16/22Traffic simulation tools or models

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

The invention discloses a method, a system, equipment and a medium for planning a base station site, wherein the method comprises the following steps: receiving a station address planning task of an area to be planned, performing grid division on the area to be planned, and determining a village central point according to traffic characteristics of each grid obtained through division; dividing the area to be planned into a plurality of target coverage areas according to the village central point, and determining the number of preset station addresses to be selected in each target coverage area according to the preset station addresses to be selected; and determining corresponding candidate station addresses according to the number of the preset station addresses to be selected of each target coverage area, screening the candidate station addresses according to the base station matching parameters of the candidate station addresses, and determining the target base station addresses of each target coverage area. The efficiency and the accuracy of planning the base station site are improved.

Description

Base station site planning method, base station site planning system, equipment and medium
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a base station site planning method, a base station site planning system, a base station site planning apparatus, and a computer storage medium.
Background
In the prior art, when a site selection and site planning is performed on a region to be planned, geographical position information and satellite image information of the region to be planned are often presented to a site planning staff, the planning staff sets a base station according to the geographical position information and the satellite image information according to previous site planning experiences, and the mode of manually setting the site of the base station by experience is low in efficiency and low in reliability.
Disclosure of Invention
The invention mainly aims to provide a base station site planning method, a base station site planning system, equipment and a computer storage medium, and aims to improve the efficiency and accuracy of base station site planning.
In order to achieve the above object, the present invention provides a method for planning a base station site, wherein the method for planning the base station site comprises the following steps:
receiving a station address planning task of an area to be planned, carrying out grid division on the area to be planned, and determining a village central point according to telephone traffic characteristics of each grid obtained by division;
dividing the area to be planned into a plurality of target coverage areas according to the village central point, and determining the number of preset station addresses to be selected in each target coverage area according to the preset station addresses to be selected;
and determining corresponding candidate station addresses according to the number of the preset station addresses to be selected of each target coverage area, screening the candidate station addresses according to the base station matching parameters of the candidate station addresses, and determining the target base station addresses of each target coverage area.
Optionally, the step of determining the corresponding candidate station address according to the number of the preset station addresses to be selected of each target coverage area, and screening the candidate station addresses according to the base station matching parameters of the candidate station addresses, and the step of determining the target station address of each target coverage area includes:
if the number of the preset station addresses to be selected of the target coverage area is 0, determining the preset station addresses to be selected in the adjacent target coverage areas of the target coverage area;
determining Reference Signal Received Power (RSRP) values of preset to-be-selected station addresses in the adjacent target coverage areas to grids of the target coverage areas, and counting the coverage grid proportion of the RSRP values of the preset to-be-selected station addresses in the adjacent target coverage areas to the grids of the target coverage areas, which are larger than a preset RSRP threshold value;
determining the station addresses with the coverage grid proportion larger than a preset proportion threshold value in preset station addresses to be selected in the adjacent target coverage areas as candidate station addresses of the target coverage areas;
and determining the sum of the RSRP values of all grids of the target coverage area of each candidate station address, and determining the candidate station address with the maximum sum as the target base station address of the target coverage area.
Optionally, the step of determining the corresponding candidate station address according to the number of the preset station addresses to be selected of each target coverage area, and screening the candidate station addresses according to the base station matching parameters of the candidate station addresses, and the step of determining the target station address of each target coverage area includes:
if the number of the preset station addresses to be selected of the target coverage area is 1, determining the preset station addresses to be selected corresponding to the target coverage area as candidate station addresses of the target coverage area;
respectively determining the maximum effective coverage area and the target coverage area of effective coverage of the candidate site and the adjacent site adjacent to the candidate site;
determining a first overlap ratio of the candidate site and a maximum effective coverage area of the adjacent site, and determining a second overlap ratio of a target coverage area of effective coverage of the candidate site and the adjacent site;
and determining the target base station site of the target coverage area according to the first coincidence degree and the second coincidence degree.
Optionally, the step of determining the target base station site of the target coverage area according to the first and second overlap ratios includes:
if the first coincidence degree is smaller than a first coincidence degree threshold value and/or the second coincidence degree is smaller than a second coincidence degree threshold value, the candidate station address is used as a target base station address of the target coverage area;
if the first contact ratio is greater than or equal to a first contact ratio threshold value and the second contact ratio is greater than or equal to a second contact ratio threshold value, taking the adjacent station addresses as combinable station addresses;
and determining the target base station site of the target coverage area according to the candidate site and the mergeable site.
Optionally, the step of determining the corresponding candidate station address according to the number of the preset station addresses to be selected of each target coverage area, and screening the candidate station addresses according to the base station matching parameters of the candidate station addresses, and determining the target station address of each target coverage area includes:
if the number of the preset station addresses to be selected of the target coverage area is greater than or equal to 2, determining the preset station addresses to be selected corresponding to the target coverage area as candidate station addresses of the target coverage area;
determining the maximum effective coverage area of the candidate station address, the telephone traffic contribution rate of the candidate station address to the maximum effective coverage area and the data service contribution rate of the candidate station address to the maximum effective coverage area, and determining the station address coverage score of each candidate station address according to the maximum effective coverage area, the telephone traffic contribution rate and the data service contribution rate;
and determining the candidate station address with the highest station address coverage score as the target station address of the target coverage area.
Optionally, the step of determining a station address coverage score of each candidate station address according to the maximum effective coverage area, the traffic contribution rate, and the data traffic contribution rate includes:
determining cost influence factors of the candidate station addresses, wherein the cost influence factors comprise power supply cost influence factors, transmission cost influence factors and corollary equipment influence factors;
and determining the site coverage score of each candidate site according to the cost influence factor, the maximum effective coverage area, the telephone traffic contribution rate and the data service contribution rate.
Optionally, before the step of screening the candidate station address according to the base station matching parameter of the candidate station address, the method further includes:
acquiring site attribute information of the candidate site from a preset knowledge map, and quantizing the site attribute information vector to obtain a target configuration vector of the candidate site;
and determining the similarity between the target configuration vector and a preset attribute vector in a preset station address planning library, and taking a preset base station matching parameter corresponding to the preset attribute vector with the highest similarity with the target configuration vector as a base station matching parameter of the candidate station address.
In addition, to achieve the above object, the present invention further provides a base station site planning system, which includes:
the center determining module is used for receiving a station planning task of an area to be planned, carrying out grid division on the area to be planned and determining a village center point according to telephone traffic characteristics of each grid obtained through division;
the number determining module is used for dividing the area to be planned into a plurality of target coverage areas according to the village central point and determining the number of preset station addresses to be selected in each target coverage area according to the preset station addresses to be selected;
and the station address determining module is used for determining corresponding candidate station addresses according to the number of the preset station addresses to be selected of each target coverage area, screening the candidate station addresses according to the base station matching parameters of the candidate station addresses, and determining the target base station address of each target coverage area.
In addition, to achieve the above object, the present invention further provides a base station site planning apparatus, including: a memory, a processor and a base station site planning program stored on the memory and operable on the processor, the base station site planning program when executed by the processor implementing the steps of the base station site planning method as described above.
In addition, to achieve the above object, the present invention further provides a computer storage medium, where a base station site planning program is stored, and the base station site planning program, when executed by a processor, implements the steps of the base station site planning method described above.
The method comprises the steps of receiving a station address planning task of an area to be planned, carrying out grid division on the area to be planned, and determining a village central point according to traffic characteristics of each grid obtained through division; dividing the area to be planned into a plurality of target coverage areas according to the village central point, and determining the number of preset station addresses to be selected in each target coverage area according to the preset station addresses to be selected; and determining corresponding candidate station addresses according to the number of the preset station addresses to be selected of each target coverage area, screening the candidate station addresses according to the base station matching parameters of the candidate station addresses, and determining the target base station addresses of each target coverage area.
By carrying out grid division on an area to be planned, counting traffic characteristics by taking grids as granularity, and determining a village central point according to the traffic characteristics, the positioning accuracy of the village central point can be improved, so that a foundation is laid for improving the accuracy of the base station site setting; the method comprises the steps that a region to be planned is divided into a plurality of target coverage areas according to a village central point, corresponding target base station addresses are determined for different target coverage areas according to the number of preset to-be-selected base stations falling into the target coverage areas and base station matching parameters, so that villages gathered by each person can be guaranteed to have corresponding base stations capable of meeting telephone traffic requirements, and the accuracy of setting the base station addresses is improved; the station address of the target base station is automatically determined according to the station address planning task, so that manual participation is reduced, the efficiency of station address setting can be improved, and the accuracy of station address setting is further improved.
Drawings
Fig. 1 is a schematic structural diagram of a base station site planning apparatus in a hardware operating environment according to an embodiment of the present invention;
fig. 2 is a flowchart illustrating a base station site planning method according to a first embodiment of the present invention;
fig. 3 is a system block diagram of the base station site planning system of the present invention.
The implementation, functional features and advantages of the present invention will be further described with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
As shown in fig. 1, fig. 1 is a schematic structural diagram of a base station site planning apparatus in a hardware operating environment according to an embodiment of the present invention.
The base station site planning equipment of the embodiment of the invention can be a PC (personal computer) or server equipment, and a virtual machine runs on the base station site planning equipment.
As shown in fig. 1, the base station site planning apparatus may include: a processor 1001, such as a CPU, a network interface 1004, a user interface 1003, a memory 1005, a communication bus 1002. The communication bus 1002 is used to implement connection communication among these components. The user interface 1003 may include a Display (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface). The memory 1005 may be a high-speed RAM memory or a non-volatile memory such as a disk memory. The memory 1005 may alternatively be a storage device separate from the processor 1001.
Those skilled in the art will appreciate that the base station site planning apparatus configuration shown in fig. 1 does not constitute a limitation of the apparatus and may include more or fewer components than those shown, or some of the components may be combined, or a different arrangement of components.
As shown in fig. 1, a memory 1005, which is a type of computer storage medium, may include an operating system, a network communication module, a user interface module, and a base station site planning program.
In the base station site planning apparatus shown in fig. 1, the network interface 1004 is mainly used for connecting to a background server and performing data communication with the background server; the user interface 1003 is mainly used for connecting a client (user side) and performing data communication with the client; and the processor 1001 may be configured to invoke a base station site planning program stored in the memory 1005 and perform the operations of the base station site planning method described below.
Based on the hardware structure, the embodiment of the base station site planning method is provided.
Referring to fig. 2, fig. 2 is a schematic flow chart of a first embodiment of a base station site planning method of the present invention, where the method includes:
step S10, receiving a station address planning task of an area to be planned, carrying out grid division on the area to be planned, and determining a village central point according to traffic characteristics of each grid obtained by division;
the base station site planning method is applied to base station site planning equipment, and the base station site planning equipment can be a terminal, a robot or PC equipment.
In this embodiment, when receiving a site planning task for an area to be planned, a base station site planning device determines the area to be planned according to the site planning task, where the site planning task may be triggered by a site planner through a site planning application, the site planner may set the area to be planned through the site planning application, and may also set information related to site planning of the area to be planned through the site planning application, such as a village range, a key road, an obstacle, a ridge line, and the like in the area to be planned.
After the base station site planning equipment determines the area to be planned, the area to be planned is subjected to three-dimensional rasterization according to the preset grid granularity, and the area to be planned is divided into a plurality of grids. On the contrary, the larger the granularity of the grid, the lower the map accuracy of the corresponding rasterized area to be planned, but the higher the generation efficiency. Therefore, in order to achieve both the calculation accuracy of the complex terrain area and the calculation efficiency of the single open terrain area, the implementation divides the area to be planned into grids by adopting the dynamic grid granularity, so that the grid granularity of the complex terrain area and the population gathering area is larger than that of the single open terrain area.
After an area to be planned is divided into a plurality of grids, corresponding telephone traffic characteristics including but not limited to telephone traffic, network flow and other data are obtained by taking the grids as units, the telephone traffic characteristics of the grids are compared with preset village grid telephone traffic characteristics to determine whether the grids accord with the village characteristics, then a village coverage grid range is determined according to the grids which accord with the village characteristics, and a village central point can be determined according to the village coverage grid range.
In one implementation scenario, after the range of the village coverage grid is determined, the geometric center of the range may be determined as the village center point according to the range of the village coverage grid.
In another implementation scenario, after the village coverage grid range is determined, the weight value of the village center point may be calculated by determining the grid pair according to the attributes of the grids, and the village center point may be determined according to the weight value of each grid in the village coverage grid range.
Step S20, dividing the area to be planned into a plurality of target coverage areas according to the village central point, and determining the number of preset station addresses to be selected in each target coverage area according to preset station addresses to be selected;
in this embodiment, after the village center point is determined, delaunay triangles are constructed in the area to be planned based on the village center point, and a plurality of Delaunay triangles form a triangulation network. The Delaunay triangle is characterized in that each vertex of the triangle is the center point of a village of a different village, and the circumscribed circle of each triangle does not contain the center points of other villages in the plane.
And then determining the circle center of the circumscribed circle of each triangle in the triangular net, constructing a Thiessen (Tsai) polygon according to the circle center of the circumscribed circle of each triangle, and dividing the area to be planned into a plurality of target coverage areas through the Thiessen polygon. It is understood that each Thiessen polygon contains only one discrete point (i.e., village center point).
After the target coverage area is determined, the preset to-be-selected sites in different target coverage areas can be determined from the preset to-be-selected site set of the area to be planned, and the number of the preset to-be-selected sites in different target coverage areas is counted. The preset station address set to be selected can be obtained from a preset knowledge graph, or can be manually set by a station address planner when a station address planning task is triggered.
A so-called Knowledge Graph (Knowledge Graph) is a Graph-based data structure, consisting of nodes (points) and edges (edges). In the knowledge-graph, each node represents an "entity" existing in the real world, and each edge is a "relationship" between entities. The preset knowledge map in the embodiment is preset by a site planner, and the preset knowledge map comprises a candidate site entity, an equipment entity and a coverage target entity, wherein attributes of the candidate site entity comprise longitude and latitude coordinates, altitude, distances from a transmission point to a power supply access point, site reference rent price, electricity price, transmission cost, other contents related to the candidate site, project amount and cost information of planning transmission and power supply of the candidate site, and the like; the equipment entity mainly comprises relevant information of various base stations, power supplies and transmission equipment considered and used in the current planning area, such as various equipment models and parameters of candidate towers, holding poles, power supplies, transmission cables, antennas and the like; the coverage target type entity mainly comprises the total number of users, the number of active users, the telephone traffic/flow of a target area, historical service statistics and prediction information of the target area and the like in an area (such as a village), the requirement condition of a target road/line service, barriers/ridge lines in a candidate station address range and other related information, and for a general coverage area, the service density based on grids needs to be counted, estimated and added into the entity attribute. In addition, the relation between the candidate site class entity and the candidate site class entity comprises an adjacent relation, a signal (with an obstacle) shielding relation, a height drop and the like; the relation between the candidate station address entity and the equipment entity mainly comprises an applicable type and an inapplicable type; the relation of coverage, shielding, height difference and the like exists between the candidate site type entity and the coverage target type entity, and the influence relation (uplink) between the candidate site and the interference signal source, the influence relation (downlink) between the coverage target area and the interference signal source and the like are also included. When the existing 2G/3G/4G network exists in the target planning area, knowledge and information related to the target planning area are extracted from the extracted knowledge and information by extracting operator network tickets and the like, and the structured, semi-structured and unstructured data are integrated into a knowledge graph.
Step S30, determining corresponding candidate station addresses according to the number of the preset station addresses to be selected of each target coverage area, screening the candidate station addresses according to the base station matching parameters of the candidate station addresses, and determining the target base station addresses of each target coverage area.
In this embodiment, after the number of the preset candidate sites of different target coverage areas is determined, the candidate sites of the target coverage area may be determined according to the number of the preset candidate sites falling into the target coverage area, and then the corresponding base station matching parameters may be matched for each candidate site according to the site attribute information of the candidate site. The station address attribute information includes but is not limited to one or more of information such as longitude and latitude, altitude, power supply type, power supply cable laying distance, optical cable laying distance and the like of a candidate station address, and the station address attribute information can be acquired from a preset knowledge graph; the base station matching parameters comprise station type, structural parameters (station height, antenna direction, downward inclination angle and the like), power supply transmission planning parameters, machine room deployment parameters and the like.
In an implementation scenario, the step of determining the base station matching parameters of the candidate station addresses according to the station address attribute information specifically includes quantizing the station address attribute information of the candidate station addresses by a preset bit length, arranging the quantized station address attribute information into vectors and splicing the vectors so that each candidate station address obtains a vector with the same dimension, then performing similarity comparison (a cosine algorithm can be adopted) on the vectors of the candidate station addresses and preset attribute vectors in a preset station address planning library, storing corresponding relations between different preset attribute vectors and corresponding base station matching parameters in the preset station address planning library, and taking the preset base station matching parameters corresponding to the preset attribute vector with the highest similarity of the target configuration vector as the base station matching parameters corresponding to the candidate station addresses.
In another implementation scenario, the step of determining the base station matching parameters of the candidate station according to the station address attribute information specifically includes using the station address attribute information of the candidate station as an input parameter, inputting the input parameter into a preset configuration parameter inference network, and performing inference according to the input parameter by the preset configuration parameter inference network to output an output parameter, that is, the base station matching parameters. The preset configuration parameter inference network is a CNN (convolutional neural network)/GNN (graph neural network) network, and the network is constructed by constructing a training set by using station address attribute information of a constructed base station in a preset knowledge graph and corresponding base station matching parameters and performing massive training on the training set.
After the base station matching parameters of the candidate site are determined, the coverage condition of the candidate site needs to be simulated and evaluated by using a preset ray model of the digital central station, the signal coverage strength of the candidate site on different grids around the candidate site is determined, the signal coverage strength comprises Reference Signal Received Power (RSRP), an effective grid corresponding to the candidate site is determined according to whether the signal coverage strength of the candidate site on the grids is higher than a preset signal strength threshold, the candidate site is screened according to the relevant information (including a maximum effective coverage area, a telephone traffic contribution rate and/or a data traffic contribution rate) of the effective grid corresponding to the candidate site, and the target base station site of each target coverage area is determined. The preset ray model is preset by site selection planners, the input of the preset ray model is the base station matching parameters of the candidate site, and the output is the signal coverage strength of the fixed candidate site to different grids around the fixed candidate site. The preset ray model is constructed by taking the position of a base station antenna as a radiation source (namely a sphere center) according to base station matching parameters (mainly including station height, an antenna direction angle and a downward inclination angle), constructing a positive 3-dimensional 20-face body based on the position of the base station antenna, and forming a triangular pyramid by each face of the 20-face body and the sphere center (the position of the base station antenna); starting from the sphere center, three ray edges of the triangular pyramid are utilized to search for intersection points with each reflecting surface in a three-dimensional map, generally, because the environment is complex, after the triangular pyramid extends, the complex reflecting surface can be met, firstly, the complex reflecting surface is subjected to focus calculation, then, each reflecting surface is subjected to triangular segmentation, different reflecting angles are respectively calculated on different surfaces, new reflecting triangular pyramid sections are generated until the propagation distance is far enough and the signal intensity is attenuated to be lower than a certain threshold value, then, the signal characteristics of effective grids passed by the rays are counted into related grids, and the influence of all the rays is superposed to obtain the signal coverage intensity of each base station signal in each grid.
It should be noted that, the maximum effective coverage area is obtained by performing simulation evaluation to determine signal coverage strengths of base stations on different sites to different grids around the base stations, where the signal coverage strengths include Reference Signal Received Power (RSRP), and determine whether the signal coverage strength of a grid is higher than a preset signal strength threshold, if so, determine that the grid can be effectively covered by a corresponding base station, and then use the grid as an effective coverage grid of the base station, and if not, not use the grid as an effective coverage grid of the base station, so that it is recurred to determine all effective coverage grids of the base station, that is, the maximum effective coverage area of the site.
Further, in order to improve the partitioning accuracy of the maximum effective coverage area, the signal coverage strength may further include a signal-to-noise ratio (SNR) to determine the maximum effective coverage area of the station site in combination with the RSRP and the SNR, and in this scenario, the grid is used as the effective coverage grid of the station site only when the RSRP and the SNR are both greater than corresponding thresholds.
The traffic contribution rate and the data service contribution rate are determined in the maximum effective coverage area of each site according to the specific traffic and data service conditions of each grid in the maximum effective coverage area by taking the maximum effective coverage area corresponding to each site as a reference after the maximum effective coverage area of the site is determined.
In the embodiment, the grid division is carried out on the area to be planned, the grid is used as the granularity to count the telephone traffic characteristics, and the center point of the village is determined according to the telephone traffic characteristics, so that the positioning accuracy of the center point of the village can be improved, and a foundation is laid for improving the accuracy of the station address setting of the base station; the method comprises the steps that a region to be planned is divided into a plurality of target coverage areas according to a village central point, corresponding target base station addresses are determined for different target coverage areas according to the number of preset to-be-selected base stations falling into the target coverage areas and base station matching parameters, so that villages gathered by each person can be guaranteed to have corresponding base stations capable of meeting telephone traffic requirements, and the accuracy of setting the base station addresses is improved; the station address of the target base station is automatically determined according to the station address planning task, so that manual participation is reduced, the efficiency of station address setting can be improved, and the accuracy of station address setting is further improved.
Further, based on the first embodiment of the base station site planning method of the present invention, a second embodiment of the base station site planning method of the present invention is provided.
In the step S30, the step of screening the candidate base stations according to the base station matching parameters of the candidate base stations and determining the target base station address of each target coverage area includes:
step A1, if the number of the preset to-be-selected station addresses of the target coverage area is 0, determining the preset to-be-selected station addresses in the adjacent target coverage area of the target coverage area;
step A2, determining Reference Signal Received Power (RSRP) values of preset to-be-selected station addresses in the adjacent target coverage areas to grids of the target coverage areas, and counting coverage grid proportions of the preset to-be-selected station addresses in the adjacent target coverage areas to the grids of the target coverage areas, wherein the RSRP values of the preset to-be-selected station addresses are larger than a preset RSRP threshold value;
step A3, determining the station addresses with the coverage grid proportion larger than a preset proportion threshold value in preset station addresses to be selected in the adjacent target coverage areas as candidate station addresses of the target coverage areas;
step A4, determining the sum of the RSRP values of all grids of the target coverage area of each candidate station address, and determining the candidate station address with the maximum sum as the target base station address of the target coverage area.
In this embodiment, for a scenario where the number of preset candidate sites in a target coverage area is 0, in this scenario, there is no selectable preset candidate site in the current target coverage area, and in order to meet a traffic demand in the current target coverage area, a candidate website in the current target coverage area may be determined by selecting from the preset candidate sites in adjacent target coverage areas.
Specifically, a preset to-be-selected site in an adjacent target coverage area of a current target coverage area is determined, RSRP values of the preset to-be-selected site in the adjacent target coverage area (namely, the adjacent site) to grids of the current target coverage area are determined according to a simulation evaluation result, grids in the current target coverage area with RSRP values larger than a preset RSRP threshold value are determined as effective coverage grids of the adjacent site in the current target coverage area, the ratio of the number of all effective coverage grids of the adjacent site in the current target coverage area to all grids of the current target coverage area, namely, a coverage grid ratio, is counted, the coverage grid ratio reflects the coverage rate of the adjacent site to the current target coverage area, and the larger the coverage grid ratio is, the higher the signal coverage rate of the adjacent site to the current target coverage area is indicated. The preset RSRP threshold is set by a station address planner or a base station address planning in advance according to basic traffic requirements.
Therefore, after the coverage grid proportion is determined, the adjacent station addresses with the coverage grid proportion larger than the preset proportion threshold value can be determined as the candidate station addresses of the current target coverage area, the sum of the RSRP values of all grids of the current target coverage area by each candidate station address is further determined, and the candidate station address with the largest sum is determined as the target base station address of the current target coverage area.
It can be understood that, if the coverage grid ratios of the adjacent station sites are all less than or equal to the preset ratio threshold, the current target coverage area may be marked to prompt the station site planner to manually set the corresponding target base station site for the area.
In this embodiment, when there is no preset station to be selected for selection in the target coverage area, the target base station address of the target coverage area is determined from the adjacent station addresses according to the RSRP values of the grids, so that basic traffic requirements of most areas in the target coverage area can be met, and the candidate station address with the largest sum of the RSRP values of all grids in the current target coverage area is determined as the target base station address of the current target coverage area, so that the signal coverage strength of the determined target base station address to the current target coverage area can be the highest, and the use experience of the user in the current target coverage area can be improved.
Further, based on the foregoing embodiment of the method for planning a base station site of the present invention, a third embodiment of the method for planning a base station site of the present invention is provided. In the step S30, the step of screening the candidate base stations according to the base station matching parameters of the candidate base stations and determining the target base station address of each target coverage area includes:
step B1, if the number of the preset station addresses to be selected of the target coverage area is 1, determining the preset station addresses to be selected corresponding to the target coverage area as candidate station addresses of the target coverage area;
step B2, respectively determining the maximum effective coverage area and the target coverage area of effective coverage of the candidate site and the adjacent site adjacent to the candidate site;
step B3, determining a first coincidence degree of the candidate site and the maximum effective coverage area of the adjacent site, and determining a second coincidence degree of the candidate site and the target coverage area effectively covered by the adjacent site;
and step B4, determining the target base station site of the target coverage area according to the first coincidence degree and the second coincidence degree.
In order to reduce unnecessary sites with repeated coverage as much as possible and reduce cost on the basis of meeting the traffic demand of the current target coverage area, the embodiment uses the preset sites to be selected in the current target coverage area as candidate sites, determines the coverage overlap ratio between the candidate sites and adjacent sites, and performs site de-overlap processing according to the coverage overlap ratio.
Specifically, according to the simulation evaluation result, the preset station to be selected (namely, the adjacent station) in the adjacent target coverage area and the RSRP value of the candidate station to different grids around the candidate station are determined, and the maximum effective coverage area of the station and the target coverage area effectively covered by the station are determined. Wherein the manner of determining the maximum effective coverage area is similar to the previous embodiment, and is not to be recited herein; and determining the target coverage area effectively covered by the site, namely determining the coverage grid proportion of the site to each target coverage area around the site, and determining the target coverage area with the coverage grid proportion larger than a preset proportion threshold as the target coverage area effectively covered by the site.
After determining the maximum effective coverage area and the target coverage area of effective coverage of the candidate site, and the maximum effective coverage area and the target coverage area of effective coverage of the adjacent site, comparing the maximum effective coverage area and the adjacent site of the candidate site, and determining a first contact ratio; comparing the target coverage area effectively covered by the candidate site with the adjacent site to determine a second overlapping degree; determining a target base station site of a target coverage area according to the first coincidence degree and the second coincidence degree, wherein if the first coincidence degree is smaller than a first coincidence degree threshold value and/or the second coincidence degree is smaller than a second coincidence degree threshold value, the candidate site is used as the target base station site of the target coverage area; if the first coincidence degree is larger than or equal to the first coincidence degree threshold value and the second coincidence degree is larger than or equal to the second coincidence degree threshold value, the adjacent station addresses are used as combinable station addresses, and a target base station address is determined for a target coverage area according to the candidate station addresses and the combinable station addresses.
Further, the step of determining the target base station address of the target coverage area according to the candidate station address and the mergeable station address is specifically to determine the traffic contribution rate and the data traffic contribution rate of all grids of the candidate station address and the mergeable station address in the corresponding maximum effective coverage area, then score the candidate station address and the mergeable station address according to the maximum effective coverage area, the traffic contribution rate and the data traffic contribution rate, respectively, to obtain a station address coverage score (see the fourth embodiment below), and use the station address with the highest station address coverage score as the target base station address of the target coverage area. And the station address with lower station address coverage grade can be marked as a target merging station address of the target station address so as to provide the station address planning personnel for carrying out corresponding station address merging treatment.
In this embodiment, in a scenario where only 1 station to be selected is in a current target coverage area, by determining an overlap ratio between a candidate station address and an adjacent station address and determining a target base station address in the candidate station address and the adjacent station address according to the overlap ratio between the candidate station address and the adjacent station address, the number of target base station addresses established in an area to be planned can be reduced on the premise of ensuring that a coverage area of each target base station address is basically unchanged, thereby reducing the station construction cost and the base station operation cost.
Further, based on the foregoing embodiment of the method for planning a base station site of the present invention, a fourth embodiment of the method for planning a base station site of the present invention is provided. In the step S30, the step of screening the candidate station addresses according to the base station matching parameters of the candidate station addresses to determine the target base station address of each target coverage area includes:
step C1, if the number of the preset station addresses to be selected of the target coverage area is greater than or equal to 2, determining the preset station addresses to be selected corresponding to the target coverage area as candidate station addresses of the target coverage area;
step C2, determining the maximum effective coverage area of the candidate site, the telephone traffic contribution rate of the candidate site to the maximum effective coverage area and the data service contribution rate of the candidate site to the maximum effective coverage area, and determining the site coverage score of each candidate site according to the maximum effective coverage area, the telephone traffic contribution rate and the data service contribution rate;
and step C3, determining the candidate station address with the highest station address coverage score as the target base station address of the target coverage area.
In order to reduce unnecessary sites with repeated coverage as much as possible and reduce cost on the basis of meeting the traffic demand of the current target coverage area, the present embodiment uses all the preset sites to be selected in the current target coverage area as candidate sites, and determines the maximum effective coverage area of each candidate site, the traffic contribution rate of the candidate site to the corresponding maximum effective coverage area, and the data traffic contribution rate of the candidate site to the corresponding maximum effective coverage area according to the simulation evaluation result, and further determines the site coverage score of each candidate site according to the maximum effective coverage area, the traffic contribution rate, and the data traffic contribution rate based on a preset site coverage score formula. The preset station coverage scoring formula may be a preset first formula, as follows:
L(D i ,P j )=α·S ij +β·U ij +γ·V ij
wherein, L (D) i ,P j ) Is covered with a target area D i Candidate site P of j Station site coverage scoring;
S ij is the maximum effective coverage area;
U ij a rate of contribution to telephone traffic;
V ij a contribution rate for data traffic;
alpha, beta and gamma are respectively coefficients corresponding to S, U and V, and are set by a station address planner in advance according to the local service distribution condition.
And after determining the station address coverage score of each candidate station address, determining the candidate station address with the highest station address coverage score as the target base station address of the target coverage area.
Further, the preset first formula only considers the coverage effect of the station address on the area to be planned, but does not reflect the consideration of the station building cost and the cost in the aspect of utilizing the existing infrastructure, so the preset station address coverage scoring formula provided in this embodiment can also be a preset second formula, as follows:
QL(D i ,P j )=α·S ij +β·U ij +γ·V ij +δ·W ij
wherein, QL (D) i ,P j ) Is covered with a target area D i Candidate site P of j Station coverage score of (1);
S ij is the maximum effective coverage area;
U ij a rate of contribution to telephone traffic;
V ij a contribution rate for data traffic;
W ij is a cost impact factor;
alpha, beta, gamma cost case settings.
It should be noted that the cost influence factor is formed by the costs of the power supply, the machine room and the deployment mode, that is: w ij =1/(k 1 ·W 1 +k 2 ·W 2 +k 3 ·W 3 +b)。
Wherein, W 1 Is a power supply cost impact factor. For the existing station site configured with a switching power supply, if the power consumption of the newly-built 4G/5G base station equipment is within the power range of the existing power supply and no extra input is required for power supply, W 1 =0; if the power of the power source matched with the current station address is insufficient, the capacity increasing scheme of the power source object matched with the current base station scheme in the knowledge graph needs to be called, and the power is increased in a mode of increasing a power source module, integrally replacing equipment and the like. For a base station which is remotely deployed and has low power consumption, the cost of using candidate modes such as solar energy and wind power hybrid energy can be evaluated, and a W of a related scheme is provided according to the cost information in the knowledge graph 1 A value;
W 2 is a transmission cost impact factor. For stations that do not require fiber compatibilization, W 2 =0; if the transmission bandwidth required by the current site service estimation exceeds the maximum bandwidth provided by the current transmission line, multiple transmission capacity increasing schemes are estimated through a knowledge graph, and after the transmission scheme is selected, W is carried out 2 Embodying the current investment in implementing a planned transmission scheme.
W 3 Is a corollary equipment influence factor. If the current base station does not need to additionally add machine room cables and other investment in the construction process, W is 3 =0; if necessary, the scheme is selected and W is added 3 The investment of the matched equipment is embodied.
b is an offset term, mainly ensuring W ij The denominator is not 0 and W is adjusted ij The degree of influence on QL.
Merging multiple candidate sites in G (i) areaUsing QL (D) i ,P j ) In place of L (D) i ,P j ) The influence factors of site selection and cost can be taken into consideration. When the station site deployment is performed by using the old station site, the cost advantage is very obvious compared with the new station construction.
Further, after a group of target base station sites and base station matching parameters thereof are obtained by planning the sites of the area to be planned through the embodiment, the obtained group of target base station sites are simulated through a ray model, the SNR value (signal-to-noise ratio) of the grid in the target coverage area is determined, and the rationality of the current planning scheme is evaluated according to the SNR value.
Specifically, the SNR value of a target base station site to a grid in a target coverage area corresponding to the target base station site is determined, a grid area with the SNR value lower than a preset SNR threshold value is determined to be a high noise area, the SNR value of the high noise area corresponding to other surrounding sites is determined, whether the SNR value is also lower than the preset SNR threshold value is determined, and if yes, the high noise area is marked and fed back to a site planner.
Further, if the marked high-noise area needs to be subjected to secondary station address planning, a vector ring can be constructed through the adjacent station addresses of the noise area, the center coordinate of the vector ring is calculated, and the center coordinate is used as a suggested new station address coordinate and fed back to a station address planner.
The present invention also provides a base station site planning system, referring to fig. 3, the base station site planning system includes:
the center determining module 10 is configured to receive a station planning task of an area to be planned, perform grid division on the area to be planned, and determine a village center point according to traffic characteristics of each grid obtained through division;
the quantity determining module 20 is configured to divide the area to be planned into a plurality of target coverage areas according to the village central point, and determine the quantity of preset station addresses to be selected in each target coverage area according to preset station addresses to be selected;
and the site determining module 30 is configured to determine corresponding candidate sites according to the number of preset to-be-selected sites of each target coverage area, screen the candidate sites according to base station matching parameters of the candidate sites, and determine target base station sites of each target coverage area.
Optionally, the station location determining module is further configured to:
if the number of the preset to-be-selected station addresses of the target coverage area is 0, determining the preset to-be-selected station addresses in the adjacent target coverage areas of the target coverage area;
determining Reference Signal Received Power (RSRP) values of preset to-be-selected station addresses in the adjacent target coverage areas to grids of the target coverage areas, and counting the coverage grid proportion of the RSRP values of the preset to-be-selected station addresses in the adjacent target coverage areas to the grids of the target coverage areas, which are larger than a preset RSRP threshold value;
determining the station addresses with the coverage grid proportion larger than a preset proportion threshold value in preset station addresses to be selected in the adjacent target coverage areas as candidate station addresses of the target coverage areas;
and determining the sum of the RSRP values of all grids of the target coverage area of each candidate site, and determining the candidate site with the maximum sum as the target base station site of the target coverage area.
Optionally, the station location determining module is further configured to:
if the number of the preset station addresses to be selected of the target coverage area is 1, determining the preset station addresses to be selected corresponding to the target coverage area as candidate station addresses of the target coverage area;
respectively determining the maximum effective coverage area and the target coverage area of effective coverage of the candidate site and the adjacent site adjacent to the candidate site;
determining a first overlap ratio of the candidate site and a maximum effective coverage area of the adjacent site, and determining a second overlap ratio of a target coverage area of effective coverage of the candidate site and the adjacent site;
and determining the target base station site of the target coverage area according to the first coincidence degree and the second coincidence degree.
Optionally, the station location determining module is further configured to:
if the first coincidence degree is smaller than a first coincidence degree threshold value and/or the second coincidence degree is smaller than a second coincidence degree threshold value, the candidate station address is used as a target base station address of the target coverage area;
if the first coincidence degree is greater than or equal to a first coincidence degree threshold value and the second coincidence degree is greater than or equal to a second coincidence degree threshold value, taking the adjacent station addresses as combinable station addresses;
and determining the target base station site of the target coverage area according to the candidate site and the station site capable of being merged.
Optionally, the station location determining module is further configured to:
if the number of the preset station addresses to be selected of the target coverage area is greater than or equal to 2, determining the preset station addresses to be selected corresponding to the target coverage area as candidate station addresses of the target coverage area;
determining the maximum effective coverage area of the candidate station address, the telephone traffic contribution rate of the candidate station address to the maximum effective coverage area and the data service contribution rate of the candidate station address to the maximum effective coverage area, and determining the station address coverage score of each candidate station address according to the maximum effective coverage area, the telephone traffic contribution rate and the data service contribution rate;
and determining the candidate station address with the highest station address coverage score as the target base station address of the target coverage area.
Optionally, the station location determining module is further configured to:
determining cost influence factors of the candidate station addresses, wherein the cost influence factors comprise power supply cost influence factors, transmission cost influence factors and corollary equipment influence factors;
and determining the site coverage score of each candidate site according to the cost influence factor, the maximum effective coverage area, the telephone traffic contribution rate and the data service contribution rate.
Optionally, the station location determining module is further configured to:
acquiring site attribute information of the candidate site from a preset knowledge map, and quantizing the site attribute information vector to obtain a target configuration vector of the candidate site;
and determining the similarity between the target configuration vector and a preset attribute vector in a preset station address planning library, and taking a preset base station matching parameter corresponding to the preset attribute vector with the highest similarity of the target configuration vector as a base station matching parameter of the candidate station address.
The method executed by each program unit can refer to each embodiment of the base station site planning method of the present invention, and is not described herein again.
The invention also provides a base station site planning device, which comprises: the memory, the processor and the base station site planning program stored in the memory and capable of running on the processor, and the method implemented when the base station site planning program is executed by the processor can refer to each embodiment of the base station site planning method of the present invention, and will not be described herein again.
The invention also provides a computer storage medium.
The computer storage medium of the present invention stores a base station site planning program, and the base station site planning program is executed by a processor to realize the steps of the base station site planning method.
The method implemented when the base station site planning program running on the processor is executed may refer to each embodiment of the base station site planning method of the present invention, and details are not described here.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrases "comprising a," "8230," "8230," or "comprising" does not exclude the presence of other like elements in a process, method, article, or system comprising the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention or the portions contributing to the prior art may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) as described above and includes several instructions for enabling a terminal device (which may be a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.

Claims (10)

1. A method for planning a base station site is characterized by comprising the following steps:
receiving a station address planning task of an area to be planned, performing grid division on the area to be planned, and determining a village central point according to traffic characteristics of each grid obtained through division;
dividing the area to be planned into a plurality of target coverage areas according to the village central point, and determining the number of preset station addresses to be selected in each target coverage area according to the preset station addresses to be selected;
and determining corresponding candidate station addresses according to the number of the preset station addresses to be selected of each target coverage area, screening the candidate station addresses according to the base station matching parameters of the candidate station addresses, and determining the target base station addresses of each target coverage area.
2. The method for planning the base station site according to claim 1, wherein the step of determining the target base station site of each target coverage area by determining the corresponding candidate site according to the number of the preset to-be-selected sites of each target coverage area, and screening the candidate sites according to the base station matching parameters of the candidate sites comprises:
if the number of the preset station addresses to be selected of the target coverage area is 0, determining the preset station addresses to be selected in the adjacent target coverage areas of the target coverage area;
determining Reference Signal Received Power (RSRP) values of preset to-be-selected station addresses in the adjacent target coverage areas to grids of the target coverage areas, and counting the coverage grid proportion of the RSRP values of the preset to-be-selected station addresses in the adjacent target coverage areas to the grids of the target coverage areas, which are larger than a preset RSRP threshold value;
determining the station addresses with the coverage grid proportion larger than a preset proportion threshold value in preset station addresses to be selected in the adjacent target coverage areas as candidate station addresses of the target coverage areas;
and determining the sum of the RSRP values of all grids of the target coverage area of each candidate station address, and determining the candidate station address with the maximum sum as the target base station address of the target coverage area.
3. The method of claim 1, wherein the step of determining the target base station site of each target coverage area comprises the steps of determining corresponding candidate sites according to the number of the preset to-be-selected sites of each target coverage area, screening the candidate sites according to the base station matching parameters of the candidate sites, and:
if the number of the preset station addresses to be selected of the target coverage area is 1, determining the preset station addresses to be selected corresponding to the target coverage area as candidate station addresses of the target coverage area;
respectively determining the maximum effective coverage area and the target coverage area of effective coverage of the candidate site and the adjacent site adjacent to the candidate site;
determining a first overlap ratio of the candidate site and a maximum effective coverage area of the adjacent site, and determining a second overlap ratio of a target coverage area of effective coverage of the candidate site and the adjacent site;
and determining the target base station site of the target coverage area according to the first coincidence degree and the second coincidence degree.
4. The method of claim 3, wherein the step of determining the target base station site of the target coverage area according to the first degree of overlap and the second degree of overlap comprises:
if the first coincidence degree is smaller than a first coincidence degree threshold value and/or the second coincidence degree is smaller than a second coincidence degree threshold value, the candidate station address is used as a target base station address of the target coverage area;
if the first contact ratio is greater than or equal to a first contact ratio threshold value and the second contact ratio is greater than or equal to a second contact ratio threshold value, taking the adjacent station addresses as combinable station addresses;
and determining the target base station site of the target coverage area according to the candidate site and the mergeable site.
5. The method for planning the base station site according to claim 1, wherein the step of determining the target base station site of each target coverage area by determining the corresponding candidate site according to the number of the preset to-be-selected sites of each target coverage area, and screening the candidate sites according to the base station matching parameters of the candidate sites comprises:
if the number of the preset station addresses to be selected of the target coverage area is greater than or equal to 2, determining the preset station addresses to be selected corresponding to the target coverage area as candidate station addresses of the target coverage area;
determining a maximum effective coverage area of the candidate site, a telephone traffic contribution rate of the candidate site to the maximum effective coverage area and a data service contribution rate of the candidate site to the maximum effective coverage area, and determining a site coverage score of each candidate site according to the maximum effective coverage area, the telephone traffic contribution rate and the data service contribution rate;
and determining the candidate station address with the highest station address coverage score as the target base station address of the target coverage area.
6. The method of claim 5, wherein the step of determining the site coverage score for each of the candidate sites based on the maximum effective coverage area, the traffic contribution rate, and the data traffic contribution rate comprises:
determining cost influence factors of the candidate station addresses, wherein the cost influence factors comprise power supply cost influence factors, transmission cost influence factors and corollary equipment influence factors;
and determining the site coverage score of each candidate site according to the cost influence factor, the maximum effective coverage area, the telephone traffic contribution rate and the data service contribution rate.
7. The method for planning a base station site of claim 1, wherein before the step of screening the candidate site according to the base station matching parameters of the candidate site, the method further comprises:
acquiring site attribute information of the candidate site from a preset knowledge map, and quantizing the site attribute information vector to obtain a target configuration vector of the candidate site;
and determining the similarity between the target configuration vector and a preset attribute vector in a preset station address planning library, and taking a preset base station matching parameter corresponding to the preset attribute vector with the highest similarity of the target configuration vector as a base station matching parameter of the candidate station address.
8. A base station site planning system, the base station site planning system comprising:
the center determining module is used for receiving a station address planning task of an area to be planned, performing grid division on the area to be planned and determining a village center point according to the telephone traffic characteristics of each grid obtained through division;
the quantity determining module is used for dividing the area to be planned into a plurality of target coverage areas according to the village central point and determining the quantity of preset station addresses to be selected in each target coverage area according to the preset station addresses to be selected;
and the station address determining module is used for determining corresponding candidate station addresses according to the number of the preset station addresses to be selected of each target coverage area, screening the candidate station addresses according to the base station matching parameters of the candidate station addresses, and determining the target base station address of each target coverage area.
9. A base station site planning apparatus, comprising: a memory, a processor and a base station site planning program stored on the memory and executable on the processor, the base station site planning program when executed by the processor implementing the steps of the base station site planning method according to any one of claims 1 to 7.
10. A computer storage medium, characterized in that the computer storage medium has stored thereon a base station site planning program, which when executed by a processor implements the steps of the base station site planning method according to any of claims 1 to 7.
CN202110581308.XA 2021-05-26 2021-05-26 Base station site planning method, base station site planning system, equipment and medium Pending CN115412926A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110581308.XA CN115412926A (en) 2021-05-26 2021-05-26 Base station site planning method, base station site planning system, equipment and medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110581308.XA CN115412926A (en) 2021-05-26 2021-05-26 Base station site planning method, base station site planning system, equipment and medium

Publications (1)

Publication Number Publication Date
CN115412926A true CN115412926A (en) 2022-11-29

Family

ID=84155870

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202110581308.XA Pending CN115412926A (en) 2021-05-26 2021-05-26 Base station site planning method, base station site planning system, equipment and medium

Country Status (1)

Country Link
CN (1) CN115412926A (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115988509A (en) * 2022-12-05 2023-04-18 北京中网华通设计咨询有限公司 Communication network planning method, system, terminal and storage medium
CN116033440A (en) * 2023-02-14 2023-04-28 北京万和汇通通信科技有限公司 Investigation and site selection method and device, electronic equipment and storage medium
CN116156513A (en) * 2023-01-09 2023-05-23 四川通信科研规划设计有限责任公司 Communication base station planning evaluation method and device

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115988509A (en) * 2022-12-05 2023-04-18 北京中网华通设计咨询有限公司 Communication network planning method, system, terminal and storage medium
CN116156513A (en) * 2023-01-09 2023-05-23 四川通信科研规划设计有限责任公司 Communication base station planning evaluation method and device
CN116156513B (en) * 2023-01-09 2024-05-10 四川通信科研规划设计有限责任公司 Communication base station planning evaluation method and device
CN116033440A (en) * 2023-02-14 2023-04-28 北京万和汇通通信科技有限公司 Investigation and site selection method and device, electronic equipment and storage medium
CN116033440B (en) * 2023-02-14 2023-06-13 北京万和汇通通信科技有限公司 Investigation and site selection method and device, electronic equipment and storage medium

Similar Documents

Publication Publication Date Title
CN115412926A (en) Base station site planning method, base station site planning system, equipment and medium
US7668708B2 (en) Method and apparatus for network planning
CN110418354A (en) It is a kind of that propagation model wireless network planning method is exempted from based on machine learning
JP5273664B2 (en) Communication characteristic analysis system, communication characteristic analysis method, and communication characteristic analysis program
CN107872808B (en) WLAN station address prediction analysis method and device
CN109743741A (en) Wireless router dispositions method, device, storage medium and electronic equipment
WO2012011147A1 (en) Communication characteristic analyzing system, communication characteristic analyzing method, and communication characteristic analyzing program
CN107241743B (en) Power grid private network layout construction method
CA3106147A1 (en) Method and apparatus for qualifying customers and designing a fixed wireless network using mapping data
JP6696859B2 (en) Quality estimation device and quality estimation method
CN107786989B (en) Lora intelligent water meter network gateway deployment method and device
CN114710787B (en) Network planning method, device, equipment and storage equipment
CN110366188B (en) Interference measurement point deployment method, interference measurement path planning method and system
CN113133007A (en) Method, device and equipment for selecting address of communication station
CN106295954A (en) Flood control personnel and the intelligent dispatching method of pumping plant and intelligent dispatching system
CN117580054A (en) NTN cell construction method, device, equipment and medium based on use demand data
CN107682863A (en) A kind of electric power is base station selected and layout method
Heyns et al. An evaluation of the effectiveness of observation camera placement within the MeerKAT radio telescope project
CN115442745A (en) Station address selection method and device, electronic equipment and storage medium
Tennekes et al. A Bayesian approach to location estimation of mobile devices from mobile network operator data
CN109982246A (en) A kind of method of adjustment, device and the medium of cellular cell power
Phillips Geostatistical techniques for practical wireless network coverage mapping
Bollapragada et al. Budget-constrained, capacitated hub location to maximize expected demand coverage in fixed-wireless telecommunication networks
Dahi et al. Models and solvers for coverage optimisation in cellular networks: Review and analysis
Ekpenyong et al. Intelligent test bed tuning for improved wireless local area networks service quality in academic environments

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination