CN114710787A - Network planning method, device, equipment and storage equipment - Google Patents
Network planning method, device, equipment and storage equipment Download PDFInfo
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- CN114710787A CN114710787A CN202210457442.3A CN202210457442A CN114710787A CN 114710787 A CN114710787 A CN 114710787A CN 202210457442 A CN202210457442 A CN 202210457442A CN 114710787 A CN114710787 A CN 114710787A
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Abstract
The application provides a network planning method, a device, equipment and a storage medium. The method comprises the following steps: dividing a mesh of a region to be planned, dotting in the divided network mesh to determine the position of a base station; aiming at each grid in the network grids, determining the network weight of the grid according to the number of base stations in the grid and the scene corresponding to each base station in the grid; obtaining the grid value of each grid in the network grids according to the consumption information of the terminal in the grid and the network weight, wherein the consumption information is the consumption value of the terminal aiming at the target network service; and screening a preset number of grids as target areas according to the grid value of each grid in the network grids, and carrying out network planning on the target network service of the target areas. The method increases the rationality of network planning, improves the utilization rate of network resources and improves the network perception of users.
Description
Technical Field
The present application relates to communications technologies, and in particular, to a network planning method, apparatus, device, and storage device.
Background
With the rapid development of network services, the demands of users on the network are also rapidly increased, and the construction and popularization of new network services are increasingly important for the improvement of user network perception.
Currently, in planning and construction of such networks, different network planning strategies are often adopted according to different traffic density scenes for different grids. However, for planning and construction of a new network service (for example, planning and construction of a gigabit broadband), in the early stage of planning and construction, if a grid planning priority is not set, the whole area is directly planned and constructed at the same time, so that the built network resources cover fewer users, or the area covered with more users has insufficient network resources, and the network perception of the users is reduced while resources are wasted.
Therefore, a method for network planning is needed to improve the network awareness of the user and the utilization of the network resources.
Disclosure of Invention
The application provides a network planning method, a network planning device, a network planning equipment and a storage device, which are used for solving the problems of low network resource utilization rate and poor user network perception caused by unreasonable network planning.
A first aspect of an embodiment of the present application provides a network planning method, including:
dividing a region to be planned into network grids, and classifying a base station into grids in the network grids according to the position of the base station in the region to be planned and the position of each grid in the network grids;
aiming at each grid in the network grids, determining the network weight of the grid according to the number of base stations in the grid and the scene corresponding to each base station in the grid;
obtaining the grid value of each grid in the network grids according to the consumption information of the terminal in the grid and the network weight, wherein the consumption information is the consumption value of the terminal aiming at the target network service;
and screening a preset number of grids as target areas according to the grid value of each grid in the network grids, and carrying out network planning on the target network service of the target areas.
Optionally, the determining the network weight of the grid according to the number of the base stations in the grid and a scene corresponding to each base station in the grid includes:
determining the weight of the jth scene according to the number of base stations corresponding to the jth scene corresponding to the grid and the preset weight of the jth scene; 1,2 … … n;
and determining the network weight of each grid according to the weight corresponding to the n scenes.
Optionally, the obtaining a grid value of each grid in the network grid according to the consumption information of the terminal in the grid and the network weight includes:
acquiring a first ratio of the number of resident terminals in the grid to the number of all terminals in the grid;
acquiring a second ratio of the average consumption value of the resident terminal to the average consumption values of all the terminals;
and obtaining the network value of each grid in the network grids according to the first ratio, the second ratio and the network weight of the grid.
Optionally, before obtaining the grid value of each grid in the network grid according to the consumption information of the terminals in the grid and the network weight, the method further includes:
acquiring access terminals covered by all base stations in the area to be planned in a preset period and historical interaction data of the access terminals and the base stations;
acquiring package data of the access terminal in the preset period, and determining a target terminal handling the target network service according to the package data;
determining a resident base station of the target terminal in the preset period according to the target terminal and the historical interaction data;
and taking the target terminal which interacts with the resident base station and meets the preset condition as the resident terminal.
Optionally, the determining, according to the target terminal and the historical interaction data, a resident base station of the target terminal in the preset period includes:
determining the weight of the target terminal connected to each access base station according to the total number of the base stations in the area to be planned, the use flow and the connection times of the target terminal in the access base station, and the use flow sum and the connection time sum of the target terminal in all the base stations;
and taking the access base station with the highest weight as a resident base station of the terminal.
Optionally, the screening a preset number of grids as a target area according to the grid value of each grid in the network grids includes:
determining the preset number of grids according to the target network service;
sorting the grid values of each of the network grids in a descending order;
and screening a preset number of grids as the target area according to the sequence from large to small.
Optionally, the dividing the area to be planned into a network grid includes:
acquiring the side length M according to the coverage range of the target network service, wherein the M is larger than 0;
and according to the longitude and latitude positions of the area to be planned, dividing the area to be planned into M square geographic grids geographically, wherein M is the side length of the square geographic grids.
A second aspect of an embodiment of the present application provides a network planning apparatus, including:
the system comprises a classification module, a planning module and a planning module, wherein the classification module is used for dividing an area to be planned into network grids, and classifying a base station into the grids in the network grids according to the position of the base station in the area to be planned and the position of each grid in the network grids;
a weight determining module, configured to determine, for each mesh in the network meshes, a network weight of the mesh according to the number of base stations in the mesh and a scene corresponding to each base station in the mesh;
a value determining module, configured to obtain a grid value of each grid in the network grids according to consumption information of a terminal in the grid and the network weight, where the consumption information is a consumption value of the terminal for a target network service;
and the screening module is used for screening a preset number of grids as target areas according to the grid value of each grid in the network grids, and performing network planning on the target network service of the target areas.
Optionally, the weight determining module is specifically configured to: determining the weight of the jth scene according to the number of base stations corresponding to the jth scene corresponding to the grid and the preset weight of the jth scene; 1,2 … … n;
and determining the network weight of each grid according to the weights corresponding to the n scenes.
Optionally, the value determining module 30 is specifically configured to: acquiring a first ratio of the number of resident terminals in the grid to the number of all terminals in the grid;
acquiring a second ratio of the average consumption value of the resident terminal to the average consumption values of all the terminals;
and obtaining the network value of each grid in the network grids according to the first ratio, the second ratio and the network weight of the grid.
Optionally, the classification module is further configured to: acquiring access terminals covered by all base stations in the area to be planned in a preset period and historical interaction data of the access terminals and the base stations;
acquiring package data of the access terminal in the preset period, and determining a target terminal for handling the target network service according to the package data;
determining a resident base station of the target terminal in the preset period according to the target terminal and the historical interaction data;
and taking the target terminal which interacts with the resident base station and meets the preset condition as the resident terminal.
Optionally, the classification module is further configured to: determining the weight of the target terminal connected to each access base station according to the total number of the base stations in the area to be planned, the use flow and the connection times of the target terminal in the access base station, and the use flow sum and the connection time sum of the target terminal in all the base stations;
and taking the access base station with the highest weight as a resident base station of the terminal.
Optionally, the screening module is specifically configured to: determining the preset number of grids according to the target network service;
sorting the grid values of each of the network grids in a descending order;
and screening a preset number of grids as the target area according to the sequence from large to small.
Optionally, the classification module is specifically configured to: acquiring the side length M according to the coverage range of the target network service, wherein the M is larger than 0;
and according to the longitude and latitude positions of the area to be planned, dividing the area to be planned into M square geographic grids geographically, wherein M is the side length of the square geographic grids.
A third aspect of embodiments of the present application provides an electronic device, including: a processor and a memory;
the memory stores computer-executable instructions;
the processor executes computer-executable instructions stored by the memory to implement the network planning method as described in the first aspect of the embodiment of the present invention.
A fourth aspect of the embodiments of the present invention provides a computer-readable storage medium, where computer-executable instructions are stored in the computer-readable storage medium, and when the computer-executable instructions are executed by a processor, the computer-readable storage medium is configured to implement the network planning method according to the first aspect of the embodiments of the present invention.
The network planning method, device, equipment and storage medium provided by the application are characterized in that: dividing a mesh of a region to be planned, dotting in the divided network mesh to determine the position of a base station; aiming at each grid in the network grids, determining the network weight of the grid according to the number of base stations in the grid and the scene corresponding to each base station in the grid; obtaining the grid value of each grid in the network grids according to the consumption information of the terminal in the grid and the network weight, wherein the consumption information is the consumption value of the terminal aiming at the target network service; and screening a preset number of grids as target areas according to the grid value of each grid in the network grids, and performing network planning on the target network service of the target areas, so that the accurate planning of the network is realized, the utilization rate of network resources is improved, and the network perception of users is improved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and together with the description, serve to explain the principles of the application.
Fig. 1 is a schematic view of a scenario architecture of a network planning method according to an embodiment of the present application;
fig. 2 is a schematic flowchart of a network planning method according to an embodiment of the present application;
fig. 3 is a schematic flowchart of another network planning method according to an embodiment of the present application;
fig. 4 is a schematic diagram of a network planning apparatus according to an embodiment of the present application;
fig. 5 is a schematic view of an electronic device according to an embodiment of the present application.
With the above figures, there are shown specific embodiments of the present application, which will be described in more detail below. These drawings and written description are not intended to limit the scope of the inventive concepts in any manner, but rather to illustrate the inventive concepts to those skilled in the art by reference to specific embodiments.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.
The method and the device are applied to a network planning scene. At present, different network planning strategies are adopted according to traffic density scenes aiming at planning and construction of the network, and the conditions that the built network resources cover few users or the network resources cover more areas are insufficient exist. Different from the prior art, the application provides a method, a device, equipment and a storage medium for network planning, the grid division is carried out on the area to be planned, the target area is screened out for network planning of the target network service through evaluation of the network grid value, the network perception of the user can be effectively improved, and the network resource utilization rate is improved.
An application scenario of the present application is described below with reference to fig. 1.
Fig. 1 is a scene schematic diagram of a network planning method provided in an embodiment of the present application, and as shown in fig. 1, a scene provided in this embodiment performs mesh division on an area to be planned, and divides a base station and a user terminal in the scene into corresponding meshes.
Specifically, a region to be planned is subjected to grid division, and each base station of an operator is dotted and positioned in a grid. As shown in fig. 1, the number of base stations and user terminals in each grid may be the same or different, or no base station exists in the grid.
The operator server can perform data interaction with all base stations in the area, so that related data of the target network service is obtained, the target grid in the network grid is selected, network planning is performed on the target network service, and the purposes of improving network perception of users and improving network resource utilization rate are achieved.
The following describes the technical solutions of the present application and how to solve the above technical problems with specific embodiments. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments. Embodiments of the present application will be described below with reference to the accompanying drawings.
Fig. 2 is a flowchart of a network planning method according to an embodiment of the present application, where an execution main body of the method may be a network planning device, and the network planning device may be, for example, the operator server. As shown in fig. 2, the method is applied to the area to be planned shown in fig. 1, and the method includes:
s201, dividing an area to be planned into network grids;
specifically, the area is gridded according to the geographical distribution of the area to be planned, namely the longitude and latitude positions of the area. The grid shape can be divided into different shapes according to specific situations, such as triangle, rhombus, rectangle and the like. The mesh size should also be referenced to the target network traffic coverage area. The coverage area is large, and the grid area is large; the coverage area is small, and the grid area is small. The target network service is a service which needs to be planned by an operator, such as gigabit broadband, gigabit WIFI and the like.
S202, classifying the base station into the network grid according to the position of the base station in the area to be planned and the position of each grid in the network grid;
specifically, the operator base stations are distributed in an area to be planned, and the base stations in the area are dotted into divided grids. According to the division condition of the grid and the actual distribution condition of the base stations, the number of the base stations contained in the grid and the distribution positions of the base stations in the grid are different.
S203, determining the network weight of the grid according to the number of the base stations in the grid and the scene corresponding to each base station in the grid;
specifically, scenes of base stations in the area to be planned are different, the number of the base stations in each grid is different, the scenes of all the base stations in each grid, the preset weight of each scene and the number of the base stations in each grid are obtained, and the network weight of each grid is determined.
The scene of the base station refers to the geographical location of the base station, such as an industrial park, a school, a mountain area, a suburb, and the like. Different scenarios have different requirements on the target network traffic. And the operator assigns different preset weights to different scenes according to the degree of the demands of the different scenes on the target network service. In a scene with high target network service demand, the preset weight value is high; and in the scene with low target network service requirement, the preset weight is low.
The network weight is used to measure how important the grid is in planning the target network service in the area. A grid with a high network weight is correspondingly more important in the planning of the target network service. The network weight of the grid is related to the number of base stations in the grid and the scene where the base stations are located. The more the number of the base stations in the grid, the higher the network weight of the grid, and the greater the demand of the scene where the base station is located on the target network service, the higher the network weight of the grid.
S204, obtaining the grid value of each grid in the network grids according to the consumption information of the terminal in the grid and the network weight, wherein the consumption information is the consumption value of the terminal aiming at the target network service;
specifically, consumption information of all user terminals in the area to be planned is obtained, wherein the consumption information refers to a consumption value of the terminal for a target network service.
S205, according to the grid value of each grid in the network grids, screening a preset number of grids as a target area, and performing network planning on the target network service of the target area.
Specifically, the number of target grids in the target area is preset as a screening standard according to the importance degree of the current target network service in the whole network planning. And sorting the grid values of the grids, selecting the grids arranged in the front row as target areas of the target network service according to the preset number of the grids, and planning the network of the target network service of the grids.
The preset number of grids refers to the number of grids which need to be planned with the target network service, and the preset number of grids is often related to the importance degree of the target network planning in the overall planning, the number of users using the target network service and the user density.
The method comprises the steps that a to-be-planned area is subjected to grid division, and all base stations in the area are dotted into a network grid; determining the network weight of the grid according to the number of the base stations in the grid and the scene corresponding to each base station in the grid; obtaining the grid value of each grid in the area according to the terminal consumption information in the grid and the network weight; wherein, the consumption information is a consumption value of the terminal aiming at the target network service; and screening out a preset number of grids as target areas to carry out the target network service network planning according to the grid value of each grid in the network grids. And the network of the target network service is planned by dividing the network of the area to be planned and selecting a proper grid according to the grid value, so that the configuration of network resources is more reasonable, and the network perception and experience of users are improved.
Fig. 3 is a flowchart of a method of a network planning method according to an embodiment of the present application. As shown in fig. 3, based on the embodiment of fig. 2, the specific implementation manner of this embodiment is as follows:
s301, acquiring a side length M according to a coverage area of a target network service, wherein the M is larger than 0;
s302, according to the longitude and latitude positions of the area to be planned, the area to be planned is divided into M square geographic grids geographically, wherein M is the side length of the square geographic grids.
Dividing the region to be planned into M-by-M square geographic grids according to the geographic distribution of the region to be planned, namely the longitude and latitude positions of the region, wherein M is the side length of the square geographic grids. The size of M is related to the coverage area of the target network service, the coverage area is large, and the edges of the network grid are large; the coverage area is small, and the side length of the network grid is small.
Illustratively, the default size of M is 500 meters, the expression geographically divides the area into a square geographic grid of 500 meters by 500 meters; if the coverage area of the target network traffic is wide, the value of M may be scaled up appropriately, e.g. 2000 meters, i.e. the area is divided into a square geographic grid of 2000 meters by 2000 meters.
S303, classifying the base station into the network grid according to the position of the base station in the area to be planned and the position of each grid in the network grid;
s304, determining the weight of the jth scene according to the number of base stations corresponding to the jth scene corresponding to the grid and the preset weight of the jth scene; 1,2 … … n;
s305, determining the network weight of the grid according to the weight corresponding to the n scenes.
Specifically, the base stations in the area to be planned are dotted into the divided grids, and the number of the base stations in the network grids in the area and the scene where each base station is located are counted because the geographical distribution of each grid is different and the number of the base stations included in each grid is also different.
And presetting network weights under different scenes, and calculating the network weights of the grids by combining the number of the base stations in the grids. The calculation of the mesh network weight may be substituted into the following formula for the calculation of the mesh network weight of the mesh.
The calculation formula is as follows:
wherein: wi represents the weight of the ith network grid, j represents the jth scene under the current network grid, CjRepresenting the number of base stations corresponding to the jth subdivision scene in the current network grid, DScene jA preset weight representing the jth scene.
The network weight calculation of the grid is not limited to the above formula, and different calculation methods can be selected according to the specific situation of the target network service.
For example, the base station subdivision scenario may be determined according to the current network parameters of the base station, the specific scenario of the area where the base station is located, and the like, and the subdivision scenario includes, but is not limited to: rural areas, industrial parks, residences, colleges and the like.
For example, in a certain grid, there are 9 base stations, a class a base station is in an industrial park, a class B base station is in a residential area, and a class C base station is in the suburban area. The 9 base stations comprise 3A-type base stations, 4B-type base stations and 2C-type base stations; presetting the weight of a target network service according to different requirements of a scene where a base station is located on the target network service; assuming that the preset weight of the a-type base station is 0.6, the preset weight of the B-type base station is 0.8, and the preset weight of the C-type base station is 0.3, the network weight of the grid is calculated to be 0.6 x 3+0.8 x 4+0.3 x 2 according to the above formula, and the network weight of the grid is calculated to be 5.6. Network weights for other grids within the planned area are calculated according to such methods.
S306, acquiring access terminals covered by all base stations in the area to be planned in a preset period and historical interaction data of the access terminals and the base stations;
s307, obtaining package data of the access terminal in the preset period, and determining a target terminal transacting the target network service according to the package data;
specifically, the operator server may obtain access terminals of all base stations in the area to be planned within a preset period and historical interaction data between the access terminals and the base stations.
The terminal comprises but is not limited to a user mobile phone terminal, a fixed phone, a notebook computer, a Pad and the like; the package data for the access terminal includes, but is not limited to, a broadband package, a converged package, and the like.
When the package in use by the terminal is a target network service package, the terminal can be considered as a target terminal.
S308, determining a resident base station of the target terminal in the preset period according to the target terminal and the historical interaction data;
specifically, determining the weight of the target terminal connected to each access base station according to the total number of base stations in the area to be planned, the usage flow and connection times of the target terminal in the access base station, and the usage flow sum and connection time sum of the target terminal in all the base stations;
and taking the access base station with the highest weight as a resident base station of the terminal.
Specifically, historical interactive data between a target terminal and a base station is obtained, the historical interactive data of the target user terminal under the single base station is determined, the weight of the base station connected with the target user terminal in the period to which the target user terminal belongs is calculated according to a prediction algorithm, and the base station with the highest weight is determined to be a resident base station according to the base station weight ranking. The calculation formula of the base station weight is as follows:
wherein: m is a group ofiRepresenting the weight of the ith base station connected with the target user, i representing the ith base station, N representing the total number of the base stations, AiRepresents the usage flow (unit: MB) of the terminal under the current base station, ANRepresents the sum of the total flow (unit: MB), B, of the terminal under all base stationsiRepresenting the number of connections of said terminal under the current base station, BNRepresents the sum of the total connection times of the terminal under all the base stations.
S309, taking the target terminal which interacts with the resident base station and meets the preset conditions as the resident terminal.
Specifically, a target terminal using a target network service and interacting with the permanent base station may be regarded as a permanent terminal, and the permanent base station often satisfies a preset condition, such as a large connection frequency, a long connection duration, and the like.
S310, acquiring a first ratio of the number of the resident terminals in the grid to the number of all the terminals in the grid;
s311, acquiring a second ratio of the average consumption value of the resident terminal to the average consumption values of all the terminals;
in particular, the consumption situation of the user terminal is characterized by an average consumption value of the user terminal. The average consumption value includes traffic package charges, call charges, etc. associated with the target network traffic.
S312, obtaining the network value of each grid in the network grids according to the first ratio, the second ratio and the network weight of the grid.
S313, determining the preset number of grids according to the target network service;
specifically, the grid value of the network grid is calculated according to a formula by combining the first ratio, the second ratio and the network weight, wherein the calculation formula is as follows:
wherein: eiRepresenting the number of resident terminals in the ith network grid, FiRepresenting the number of all connected terminals, G, in said ith network gridiRepresents an average monthly consumption value, H, of the resident terminals under the ith network gridiRepresents an average monthly consumption value, W, of all connected terminals under said ith network gridiIs the weight of the ith network grid. And all the connection terminals are terminals which are connected with the base stations in the network grid in the time period.
And determining the number of preset planning target network service grids according to the importance degree of the target network service in the whole network planning, the target network service coverage condition and the user experience. The method ensures that the planning of the target network service according to the number of the preset grids can meet the requirements of users and achieve the maximum network utilization rate as far as possible.
Other methods for calculating the grid network value may be used, and the present application does not specifically specify the method.
S314, sorting the grid value of each grid in the network grids according to the sequence from big to small;
s315, screening a preset number of grids as the target area according to the sequence from big to small.
S316, network planning is carried out on the target network service of the target area.
Specifically, the grids arranged in the front row are screened according to the preset grid number to be used as target areas to carry out target network service planning.
The network planning method provided by the embodiment of the application comprises the steps of dividing a to-be-planned area into grids, positioning the position of a base station in the grids, calculating the weight of the base station, determining a target network user resident base station, and counting the number of resident users; calculating to obtain the network weight of the grid according to the number of base stations contained in the grid and the scene where each base station is located; further, the consumption condition of the user terminal and the terminal weight are obtained through an operator server, and the grid value of the network grid is obtained. And selecting a preset number of grids to carry out network planning of the target network service. The method and the device for determining the optimal network planning area combine multiple information to determine the optimal network planning area, so that user experience is better improved, and the utilization rate of network resources is improved.
Fig. 4 is a schematic structural diagram of a network planning apparatus according to an embodiment of the present application. As shown in fig. 4, the network planning apparatus includes;
a classification module 10, configured to divide an area to be planned into network grids, and classify a base station into a grid of the network grids according to a position of the base station in the area to be planned and a position of each grid in the network grids;
a weight determining module 20, configured to determine, for each mesh in the network meshes, a network weight of the mesh according to the number of base stations in the mesh and a scene corresponding to each base station in the mesh;
a value determining module 30, configured to obtain a grid value of each grid in the network grids according to consumption information of the terminal in the grid and the network weight, where the consumption information is a consumption value of the terminal for a target network service;
and the screening module 40 is configured to screen a preset number of grids as a target area according to the grid value of each grid in the network grids, and perform network planning on the target network service of the target area.
Optionally, the weight determining module 20 is specifically configured to: determining the weight of the jth scene according to the number of base stations corresponding to the jth scene corresponding to the grid and the preset weight of the jth scene; 1,2 … … n;
and determining the network weight of each grid according to the weight corresponding to the n scenes.
Optionally, the value determining module 30 is specifically configured to: acquiring a first ratio of the number of resident terminals in the grid to the number of all terminals in the grid;
acquiring a second ratio of the average consumption value of the resident terminal to the average consumption values of all the terminals;
and obtaining the network value of each grid in the network grids according to the first ratio, the second ratio and the network weight of the grid.
Optionally, the classification module 10 is further configured to: acquiring access terminals covered by all base stations in the area to be planned in a preset period and historical interaction data of the access terminals and the base stations;
acquiring package data of the access terminal in the preset period, and determining a target terminal handling the target network service according to the package data;
determining a resident base station of the target terminal in the preset period according to the target terminal and the historical interaction data;
and taking the target terminal which interacts with the resident base station and meets the preset condition as the resident terminal.
Optionally, the classification module 10 is further configured to: determining the weight of the target terminal connected to each access base station according to the total number of the base stations in the area to be planned, the use flow and the connection times of the target terminal in the access base station, and the use flow sum and the connection time sum of the target terminal in all the base stations;
and taking the access base station with the highest weight as a resident base station of the terminal.
Optionally, the screening module 40 is specifically configured to: determining the preset number of grids according to the target network service;
sorting the grid values of each of the network grids in a descending order;
and screening a preset number of grids as the target area according to the sequence from large to small.
Optionally, the classification module 10 is specifically configured to: acquiring the side length M according to the coverage range of the target network service, wherein the M is larger than 0;
and according to the longitude and latitude positions of the area to be planned, dividing the area to be planned into M square geographic grids geographically, wherein M is the side length of the square geographic grids.
The data processing apparatus provided in the present application is configured to execute the foregoing data processing method embodiment, and the implementation principle and the technical effect thereof are similar, which are not described again.
Fig. 5 is a schematic structural diagram of an electronic device provided in the present application, and as shown in fig. 5, the electronic device includes:
a processor (processor)291, the electronic device further including a memory (memory) 292; a Communication Interface 293 and bus 294 may also be included. The processor 291, the memory 292, and the communication interface 293 may communicate with each other via the bus 294. Communication interface 293 may be used for the transmission of information. Processor 291 may call logic instructions in memory 294 to perform the methods of the embodiments described above.
Further, the logic instructions in the memory 292 may be implemented in software functional units and stored in a computer readable storage medium when sold or used as a stand-alone product.
The memory 292 is a computer-readable storage medium for storing software programs, computer-executable programs, such as program instructions/modules corresponding to the methods in the embodiments of the present application. The processor 291 executes the functional application and data processing by executing the software program, instructions and modules stored in the memory 292, so as to implement the method in the above method embodiments.
The memory 292 may include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the terminal device, and the like. Further, the memory 292 may include a high speed random access memory and may also include a non-volatile memory.
The embodiment of the application provides a computer-readable storage medium, in which computer-executable instructions are stored, and the computer-executable instructions are executed by a processor to implement the method provided by the above embodiment.
The embodiment of the present application provides a computer program product, which includes a computer program, and the computer program is executed by a processor to implement the method provided by the above embodiment.
Other embodiments of the present application will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the application being indicated by the following claims.
It will be understood that the present application is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the application is limited only by the appended claims.
Claims (10)
1. A method of network planning, comprising:
dividing a region to be planned into network grids, and classifying a base station into grids in the network grids according to the position of the base station in the region to be planned and the position of each grid in the network grids;
aiming at each grid in the network grids, determining the network weight of the grid according to the number of base stations in the grid and the scene corresponding to each base station in the grid;
obtaining the grid value of each grid in the network grids according to the consumption information of the terminal in the grid and the network weight, wherein the consumption information is the consumption value of the terminal aiming at the target network service;
and screening a preset number of grids as target areas according to the grid value of each grid in the network grids, and carrying out network planning on the target network service of the target areas.
2. The method of claim 1, wherein determining the network weight of the grid according to the number of base stations in the grid and the corresponding scenario of each base station in the grid comprises:
determining the weight of the jth scene according to the number of base stations corresponding to the jth scene corresponding to the grid and the preset weight of the jth scene; 1,2 … … n;
and determining the network weight of each grid according to the weight corresponding to the n scenes.
3. The method of claim 2, wherein obtaining a grid value for each of the network grids based on the consumption information of the terminals within the grid and the network weight comprises:
acquiring a first ratio of the number of resident terminals in the grid to the number of all terminals in the grid;
acquiring a second ratio of the average consumption value of the resident terminal to the average consumption values of all the terminals;
and obtaining the network value of each grid in the network grids according to the first ratio, the second ratio and the network weight of the grid.
4. The method of claim 3, wherein before deriving the grid value for each of the network grids based on the consumption information of the terminals within the grids and the network weights, the method further comprises:
acquiring access terminals covered by all base stations in the area to be planned in a preset period and historical interaction data of the access terminals and the base stations;
acquiring package data of the access terminal in the preset period, and determining a target terminal handling the target network service according to the package data;
determining a resident base station of the target terminal in the preset period according to the target terminal and the historical interaction data;
and taking the target terminal which interacts with the resident base station and meets the preset condition as the resident terminal.
5. The method of claim 4, wherein the determining the resident base station of the target terminal within the preset time period according to the historical interaction data of the target terminal with the target terminal comprises:
determining the weight of the target terminal connected to each access base station according to the total number of the base stations in the area to be planned, the use flow and the connection times of the target terminal in the access base station, and the use flow sum and the connection time sum of the target terminal in all the base stations;
and taking the access base station with the highest weight as a resident base station of the terminal.
6. The method of claim 1, wherein the screening a preset number of grids as target areas according to the grid value of each grid in the network grids comprises:
determining the preset number of grids according to the target network service;
sorting the grid values of each of the network grids in a descending order;
and screening a preset number of grids as the target area according to the sequence from large to small.
7. The method of claim 1, wherein the dividing the area to be planned into a network grid comprises:
acquiring the side length M according to the coverage range of the target network service, wherein the M is larger than 0;
and according to the longitude and latitude positions of the area to be planned, dividing the area to be planned into M square geographic grids geographically, wherein M is the side length of the square geographic grids.
8. A network planning apparatus comprising:
the system comprises a classification module, a planning module and a planning module, wherein the classification module is used for dividing an area to be planned into network grids, and classifying a base station into the grids in the network grids according to the position of the base station in the area to be planned and the position of each grid in the network grids;
a weight determining module, configured to determine, for each mesh in the network meshes, a network weight of the mesh according to the number of base stations in the mesh and a scene corresponding to each base station in the mesh;
a value determining module, configured to obtain a grid value of each grid in the network grids according to consumption information of a terminal in the grid and the network weight, where the consumption information is a consumption value of the terminal for a target network service;
and the screening module is used for screening a preset number of grids as target areas according to the grid value of each grid in the network grids, and performing network planning on the target network service of the target areas.
9. An electronic device, comprising: a processor and a memory;
the memory stores computer-executable instructions;
the processor executes the computer-executable instructions stored by the memory to cause the electronic device to perform the method of any of claims 1-7.
10. A computer-readable storage medium having computer-executable instructions stored thereon, which when executed by a processor, are configured to implement the method of any one of claims 1 to 7.
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