CN111866896B - Base station position determining method, device, equipment and storage medium - Google Patents
Base station position determining method, device, equipment and storage medium Download PDFInfo
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- CN111866896B CN111866896B CN202010690731.9A CN202010690731A CN111866896B CN 111866896 B CN111866896 B CN 111866896B CN 202010690731 A CN202010690731 A CN 202010690731A CN 111866896 B CN111866896 B CN 111866896B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
- H04W16/18—Network planning tools
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/08—Testing, supervising or monitoring using real traffic
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W64/00—Locating users or terminals or network equipment for network management purposes, e.g. mobility management
- H04W64/003—Locating users or terminals or network equipment for network management purposes, e.g. mobility management locating network equipment
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W64/00—Locating users or terminals or network equipment for network management purposes, e.g. mobility management
- H04W64/006—Locating users or terminals or network equipment for network management purposes, e.g. mobility management with additional information processing, e.g. for direction or speed determination
Abstract
The application provides a method, a device, equipment and a storage medium for determining the position of a base station. The method comprises the following steps: the server collects various current network data to obtain base station parameters and user characteristics. The server determines a base station representation based on the base station parameters. And the server determines the micro-grid index according to the user characteristics and the base station parameters. And the server determines a high-service-value area according to the micro-grid index. The server determines a 5G value area based on the base station representation on the basis of the high service value area. And the server determines a 5G station address capable of covering the 5G value area according to the 5G value area, and further obtains a 5G station address library. The method achieves the effect of improving the site selection efficiency in large-scale site selection on the basis of meeting slicing and personalized network coverage requirements in the 5G era and the function requirements of rapid iteration of the mobile internet.
Description
Technical Field
The present application relates to communications technologies, and in particular, to a method, an apparatus, a device, and a storage medium for determining a location of a base station.
Background
With the advance of commercial pace of 5G networks, the expansion of 5G networks has made them challenging for deep coverage, overloading networks, and the like. In order to better maintain the balance between the base station construction and the user use, the reasonable planning of the layout of the 5G station addresses becomes an urgent problem to be solved.
In the prior art, the site selection of a 5G station site generally utilizes map auxiliary software to assist an operator in realizing point-by-point site selection. The map auxiliary software is used for displaying the actual area to be selected and assisting in realizing map ranging. After completing the site selection of the 5G site, the map auxiliary software can also output the selected 5G site and the site coverage range.
However, in the face of large-scale address selection of a 5G station, the prior art has the problems of low precision and long time consumption, and cannot meet the requirements of slicing and personalized network coverage in the 5G era and the functional requirements of fast iteration of the mobile internet.
Disclosure of Invention
The application provides a method, a device, equipment and a storage medium for determining a base station position, which are used for solving the problems of low precision and long time consumption in the prior art.
In a first aspect, the present invention provides a method for determining a location of a base station, including:
acquiring base station parameters and user characteristics of an area to be addressed;
determining a base station portrait according to the base station parameters, wherein the base station portrait comprises an exclusive personalized tag of each base station;
determining a micro-grid index according to the user characteristics and the base station parameters, wherein the micro-grid index is used for indicating the service use condition in a micro-grid, and the micro-grid is determined according to the aggregation condition of the user characteristics;
and determining a 5G station address library according to the micro grid index and the base station portrait.
Optionally, the determining a micro grid index according to the user characteristic and the base station parameter includes:
determining at least one micro grid according to the user characteristics, wherein users in the micro grid have the same or similar user characteristics;
and determining the micro-grid index according to the base station parameters and the micro-grid.
Optionally, the determining the micro grid index according to the base station parameter and the micro grid includes:
determining a Thiessen diagram of the base station in the area to be selected according to the base station parameters;
determining a mapping relation between the base station parameters and the micro grids according to the micro grids and the Thiessen diagram;
and determining the micro-grid index according to the base station parameters, the micro-grid and the mapping relation.
Optionally, the determining the micro grid index according to the base station parameter, the micro grid and the mapping relationship includes:
determining a first micro grid index according to the base station parameter and the mapping relation, wherein the first micro grid index is used for indicating the total service use condition of the micro grid;
and determining the micro grid index according to the first micro grid index and the micro grid, wherein the micro grid index is used for indicating the average service use condition of the micro grid.
Optionally, the determining a 5G station address library according to the micro grid index and the base station representation includes:
determining a first area according to the micro-grid index, wherein the first area is an area with the micro-grid index larger than a preset value;
determining a second area according to the base station portrait and the first area, wherein the second area is an area with the slice attribute of the base station portrait larger than a preset value;
determining a 5G station address which can cover the second area according to the second area;
and determining the 5G station address library according to the 5G station address.
Optionally, the determining, according to the second area, a 5G station address that may cover the second area includes:
determining a 5G weak coverage area according to the base station parameters;
determining a 5G new station address according to the 5G weak coverage area;
and determining all the 5G station addresses according to the base station parameters and the 5G new station addresses.
Optionally, the method further comprises:
acquiring a 5G station address supplement instruction;
and supplementing the 5G station address in the 5G station address library according to the 5G station address supplementing instruction.
In a second aspect, the present application provides a base station position determining apparatus, including:
the acquisition module is used for acquiring base station parameters and user characteristics of an area to be addressed;
the first determining module is used for determining a base station portrait according to the base station parameters, wherein the base station portrait comprises an exclusive personalized tag of each base station;
a second determining module, configured to determine a micro grid index according to the user characteristic and the base station parameter, where the micro grid index is used to indicate a service usage condition in a micro grid, and the micro grid is determined according to an aggregation condition of the user characteristic;
and the third determining module is used for determining a 5G station address library according to the micro grid index and the base station portrait.
Optionally, the determining a micro grid index according to the user characteristic and the base station parameter includes:
the micro-grid determining submodule is used for determining at least one micro-grid according to the user characteristics, and users in the micro-grids have the same or similar user characteristics;
and the micro grid index determining submodule is used for determining the micro grid index according to the base station parameters and the micro grid.
Optionally, the micro grid index determining submodule is specifically configured to: determining a Thiessen diagram of the base station in the area to be selected according to the base station parameters; determining a mapping relation between the base station parameters and the micro grids according to the micro grids and the Thiessen diagram; and determining the micro-grid index according to the base station parameters, the micro-grid and the mapping relation.
Optionally, the determining the micro grid index according to the base station parameter, the micro grid and the mapping relationship specifically includes: determining a first micro grid index according to the base station parameter and the mapping relation, wherein the first micro grid index is used for indicating the total service use condition of the micro grid; and determining the micro grid index according to the first micro grid index and the micro grid, wherein the micro grid index is used for indicating the average service use condition of the micro grid.
Optionally, the third determining module includes:
the first area determining submodule is used for determining a first area according to the micro-grid index, and the first area is an area with the micro-grid index larger than a preset value;
a second area determining submodule, configured to determine a second area according to the base station portrait and the first area, where a slice attribute of the base station portrait is greater than a preset value;
the station address determining submodule is used for determining a 5G station address which can cover the second area according to the second area;
and the station address base determining submodule is used for determining the 5G station address base according to the 5G station address.
Optionally, the station address determining sub-module is specifically configured to: determining a 5G weak coverage area according to the base station parameters; determining a 5G new station address according to the 5G weak coverage area; and determining all the 5G station addresses according to the base station parameters and the 5G new station addresses.
Optionally, the apparatus further comprises: a modification module 15;
the acquisition submodule is used for acquiring a 5G station address supplement instruction;
and the modification sub-module is used for supplementing the 5G station address in the 5G station address base according to the 5G station address supplementing command.
In a third aspect, the present application provides a server, comprising: a memory and a processor;
the memory is used for storing program instructions;
the processor is configured to invoke program instructions in the memory to perform the method of determining a location of a base station in the first aspect and any one of the possible designs of the first aspect.
In a fourth aspect, the present application provides a readable storage medium, where an execution instruction is stored in the readable storage medium, and when the execution instruction is executed by at least one processor of an electronic device, the electronic device performs the method for determining a location of a base station in any one of the possible designs of the first aspect and the first aspect.
The method, the device, the equipment and the storage medium for determining the position of the base station acquire the parameters of the base station and the characteristics of the user by collecting various existing network data; determining a base station portrait according to the base station parameters; determining a micro-grid index according to the user characteristics and the base station parameters; determining a high service value area according to the micro-grid index; on the basis of obtaining the high service value area, determining a 5G value area according to the base station portrait; and determining a 5G station address capable of covering the 5G value area according to the 5G value area so as to obtain a 5G station address library, and realizing the effect of improving the site selection efficiency in large-scale site selection on the basis of meeting slicing and personalized network coverage requirements in the 5G era and obtaining the functional requirements of fast iteration of the mobile internet.
Drawings
In order to more clearly illustrate the technical solutions in the present application or the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
Fig. 1 is a schematic diagram of a base station signal coverage according to an embodiment of the present application;
fig. 2 is a flowchart of a method for determining a location of a base station according to an embodiment of the present application;
fig. 3 is a flowchart of another method for determining a location of a base station according to an embodiment of the present application;
FIG. 4 is a schematic diagram of a Thiessen polygon and micro-grid according to an embodiment of the present application;
fig. 5 is a schematic diagram illustrating a weak coverage area aggregation according to an embodiment of the present application;
fig. 6 is a flowchart of another method for determining a location of a base station according to an embodiment of the present application;
fig. 7 is a schematic structural diagram of a base station location determining apparatus according to an embodiment of the present application;
fig. 8 is a schematic structural diagram of another base station location determining apparatus according to an embodiment of the present application;
fig. 9 is a schematic structural diagram of another base station location determining apparatus according to an embodiment of the present application;
FIG. 10 is a block diagram of a server according to an embodiment of the present application;
fig. 11 is a schematic hardware structure diagram of a server according to an embodiment of the present application.
Detailed Description
To make the purpose, technical solutions and advantages of the present application clearer, the technical solutions in the present application will be clearly and completely described below with reference to the drawings in the present application, and it is obvious that the described embodiments are some, but not all embodiments of the present application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The technical solution of the present invention will be described in detail below with specific examples. 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.
With the advance of commercial pace of 5G networks, the expansion of 5G networks has made them challenging for deep coverage, overloading networks, and the like. In order to better maintain the balance between the base station construction and the user use, the reasonable planning of the layout of the 5G station addresses becomes an urgent problem to be solved.
In the prior art, map auxiliary software is usually used for site selection of a 5G site to assist an operator in realizing point-by-point site selection. The map auxiliary software is used for displaying the actual area to be selected and assisting in realizing map ranging. The auxiliary software may be mapinfo, google earth, etc. After the 5G site is selected, the map auxiliary software can also output the selected 5G site and the site coverage range.
The above method is generally applicable to a small number of site locations. Under the scene that the use of 5G is continuously promoted, in the face of large-scale address selection of 5G, the method has the problems of low precision and long time consumption, and can not meet the requirements of slicing and personalized network coverage in the age of 5G and the functional requirement of rapid iteration of the mobile internet. And the software price is usually higher due to the display characteristic of the software. If the software is purchased, only part of the display function of the software is used, which inevitably causes waste of resources.
In view of the foregoing problems, the present application provides a method, an apparatus, a device, and a storage medium for determining a location of a base station. The server gathers various data of the current network, wherein the data comprises base station parameters and user characteristics. The server performs data cleaning, data requirement conversion, data docking, data storage and other operations on the data, so that the data have a uniform data format and are convenient for subsequent analysis and processing. And the server determines the micro-grid according to the user aggregation condition and determines the high-service-value area according to the micro-grid index. The server constructs a base station portrait of the current network site according to the base station parameters. And the server determines a 5G value area in the high service value area according to different slicing requirements based on the base station portrait of the network station address. And the server determines the 5G weak coverage area according to the 5G value area and the base station parameters. And further, determining the requirement of a 5G new station address according to the 5G weak coverage area, and realizing reasonable planning of the 5G station address. And the server displays a 5G station address library consisting of the base station and the 5G new station address. After obtaining the display interface of the 5G station address library, the user can realize supplement of the station address and optimization of the 5G station address library by interacting with the display interface.
Fig. 1 shows a schematic signal coverage diagram of a base station according to an embodiment of the present application. As shown, the coverage areas of base station 1, base station 2, and base station 3 are shown as three circles in the figure. When the mobile terminal is located within the signal coverage range, the mobile terminal can transmit the data signal through the corresponding base station.
Wherein the coverage of the base station signal is related to the base station transmission power. Different signals have different transmitting powers and different coverage areas. For example, the coverage radius of a 2G base station is about 5-10 km, the coverage radius of a 3G base station is about 2-5 km, the coverage radius of a 4G base station is about 1-3 km, and the coverage radius of a 5G base station is about 100-300 m.
In the present application, a server is used as an execution subject to execute the base station location determination method according to the following embodiment. Specifically, the execution subject may be a hardware device of the server, or a software application in the server to implement the following embodiments, or a computer-readable storage medium on which a software application to implement the following embodiments is installed.
Fig. 2 shows a flowchart of a method for determining a location of a base station according to an embodiment of the present application. On the basis of the embodiment shown in fig. 1, as shown in fig. 2, with a server as an execution subject, the method of this embodiment may include the following steps:
s101, obtaining base station parameters and user characteristics of an area to be addressed.
In this embodiment, the server aggregates various types of data of the existing network, and the acquisition of the base station parameters and the user characteristics is realized through the steps of data cleaning, data demand conversion, data docking and the like.
The current network data collected by the server may include base station data, current network management data, engineering management data, manual drive test data, and the like. The base station data may specifically include base station longitude and latitude, base station standard, base station height, inter-base station distance, and the like. The existing network management data may specifically include network management data, user data, and the like. The engineering management data may specifically include site cost data, site investment data, and the like. The artificial roadside data may specifically include drive test data.
S102, determining a base station portrait according to the base station parameters, wherein the base station portrait comprises a special personalized label of each base station.
In this embodiment, the server processes the current network data through the above S101, and then obtains the base station parameters with a uniform data format. According to the base station parameters and the associated operation and test data, the server analyzes to obtain typical characteristic data capable of representing the base station. And then, the server extracts the exclusive personalized tag of each base station according to the typical characteristic data and constructs a base station portrait according to the exclusive personalized tag.
The exclusive personalized tag may include a system attribute, a hotspot attribute, a scene attribute, a structure attribute, a co-location attribute, an external interference attribute, and the like.
S103, determining a micro-grid index according to the user characteristics and the base station parameters, wherein the micro-grid index is used for indicating the service use condition in the micro-grid, and the micro-grid is determined according to the aggregation condition of the user characteristics.
In this embodiment, the server processes the current network data through the above S101, and then obtains the user characteristics with a uniform data format. And the server divides the micro-grids of the area to be addressed according to the aggregation condition of the user characteristics.
Wherein the users of each micro-grid have the same or similar user characteristics. For example, the aggregation area of the micro-grid may be an enterprise aggregation area, a government agency aggregation area, a school aggregation area, a senior residence aggregation area, a demolition aggregation area, a rural-in-city aggregation area, or a warehouse logistics aggregation area, etc.
Wherein the area of each micro-grid ranges from 0.05 square kilometer to 0.5 square kilometer.
And the server determines the base station corresponding to each micro grid according to the position of the base station and the micro grids. The server determines the service use condition of each micro grid according to the corresponding relation between the micro grid and the base station parameters of the base station, and determines the micro grid index according to the service use condition.
S104, determining a 5G station address library according to the micro grid indexes and the base station portrait.
In this embodiment, the server determines, according to the micro-grid index, a micro-grid in the micro-grid, where the micro-grid index is greater than a preset value. The preset value is determined according to the micro-grid indexes of all the micro-grids.
And the server determines a high-service-value area in the area to be addressed according to the position of the micro grid with the micro grid index larger than a preset value.
The server acquires the slice attribute value of the base station according to the base station portrait. The slicing characteristics of the base station can be dimensions such as service times, 4G users, traffic, income, high-end computers, high value, high traffic, potential 5G users and the like. And the server determines a 5G value area in the area to be addressed on the basis of the high-service-value area according to the slice attribute value.
And the server determines the 5G station address in the area to be selected according to the 5G value area, and further obtains a 5G station address library.
According to the base station position determining method, the server collects various existing network data, and performs the steps of data cleaning, data requirement conversion, data butt joint and the like on the existing network data to obtain base station parameters and user characteristics. The server determines a base station representation based on the base station parameters. And the server determines the micro-grid index according to the user characteristics and the base station parameters. And the server determines a high-service-value area according to the micro-grid index. The server determines a 5G value area based on the base station representation on the basis of the high service value area. And the server determines a 5G station address capable of covering the 5G value area according to the 5G value area, and further obtains a 5G station address library. According to the method and the device, the determination of a high-service value area and a 5G value area is realized by obtaining the base station portrait and the micro-grid index, then the 5G station address in the area to be addressed is determined, the automatic positioning of the 5G station address is realized, and the effect of improving the addressing efficiency in large-scale addressing is realized on the basis of meeting the requirements of slicing and personalized network coverage in the 5G era and the functional requirement of fast iteration of the mobile internet.
Fig. 3 is a flowchart illustrating another method for determining a location of a base station according to an embodiment of the present application. On the basis of the embodiments shown in fig. 1 and fig. 2, as shown in fig. 3, with a server as an execution subject, the method of the embodiment may include the following steps:
s201, obtaining base station parameters and user characteristics of an area to be addressed.
Step S201 is similar to the step S101 in the embodiment of fig. 2, and this embodiment is not described herein again.
S202, determining a base station portrait according to the base station parameters, wherein the base station portrait comprises a specific personalized tag of each base station.
Step S202 is similar to step S102 in the embodiment of fig. 2, and details of this embodiment are not repeated here.
S203, determining at least one micro grid according to the user characteristics, wherein the users in the micro grid have the same or similar user characteristics.
In this embodiment, after the server obtains the user characteristics, the micro grid in the area to be addressed is determined according to the user aggregation characteristics. The characteristic region may include an enterprise and public institution gathering region, a government organization gathering region, a school gathering region, a high-grade residence gathering region, a removal gathering region, a town-village gathering region or a warehouse logistics gathering region, etc.
For example, in a government-instituted gathering area, users of the area will typically use the same or similar business packages to accommodate the work needs of the workers in the area. The server determines the government agency aggregation area according to the user aggregation characteristics.
As another example, in a warehouse logistics gathering area, users in the area are often mobile due to long run logistics, or users in the area need to frequently contact recipients. Thus, the server may determine the warehouse logistics gathering area based on the user characteristics of the area.
In one example, the aggregation area may also be determined based on a building or cell.
For example, a campus includes three office buildings, all of which are rented to an enterprise. Thus, it may be determined that the campus is located in an area that is a micro grid, which is an enterprise aggregation area.
As another example, a cell is a relocation housing. Thus, it may be determined that the campus is located in an area that is a micro-grid, which is a migration aggregation area.
And S204, determining the Thiessen diagram of the base station in the area to be selected according to the base station parameters.
In this embodiment, the server obtains the base station location in the base station parameters. And the server draws a Thiessen diagram of the base stations according to all the base stations in the area to be addressed.
Specifically, the step of drawing the thiessen diagram of the base station by the server may include:
step 1, the server constructs a Delaunay triangulation network of the base station. The server forms an optimal triangle by three base stations with similar base station positions, and each base station becomes the vertex of the triangle. Wherein, the circumscribed circle of each delaunay triangle does not contain other base stations. Wherein, the convex quadrangle formed by two adjacent delaunay triangles does not increase the minimum of the six interior angles after exchanging the diagonals of the convex quadrangle.
And 2, the server determines the intersection point of the perpendicular bisectors of the three sides of each triangle as a new vertex. The server determines that the polygon defined by the new vertices and the midperpendicular is a Thiessen polygon. Wherein each Thiessen polygon includes a base station therein. The area shown by the Thiessen polygon is the actual coverage area of the base station. The diagram formed by the Thiessen polygons is a Thiessen diagram.
S205, determining the mapping relation between the base station parameters and the micro grids according to the micro grids and the Thiessen diagram.
In this embodiment, the server combines the micro grid and the thiessen chart to the area to be addressed as different layers. And the server determines the mapping relation between the micro grid and the Thiessen diagram according to the overlapping area of the micro grid and the Thiessen diagram.
The server determines the Thiessen polygons present in the micro-mesh. Wherein a plurality of Thiessen polygons may appear in a micro-grid. The Thiessen polygons appearing in a micro mesh may be partial regions of the Thiessen polygons.
And the server determines the mapping relation of each Thiessen polygon to the micro-grid according to the proportion of each Thiessen polygon appearing in the micro-grid. And the server determines the mapping relation from the Thiessen diagram to the micro-grid according to the mapping relation of all appeared Thiessen polygons in each micro-grid.
For example, as shown in fig. 4, which includes 5 tesson polygons and a micro-grid. The thieson polygons 1, 2, and 3 appear in the micro mesh. Wherein one quarter of the Thiessen polygons 1 appear in the microgrid. Wherein one quarter of the Thiessen polygons 2 appear in the microgrid. Wherein half of the Thiessen polygons 3 appear in the microgrid. Therefore, the mapping relationship of the micro-grid is determined as follows:
and the server determines the mapping relation between the base station parameters and the micro grids according to the mapping relation from the Thiessen diagram to the micro grids. Wherein each Thiessen polygon is a coverage area of a base station. Therefore, the mapping of the base station parameters of each base station to the micro-grid is the mapping of the Thiessen polygon to the micro-grid.
S206, determining a first micro-grid index according to the base station parameters and the mapping relation, wherein the first micro-grid index is used for indicating the total service use condition of the micro-grid.
In this embodiment, the server determines the total service usage of the micro grid according to the base station parameter and the mapping from the base station parameter to the micro grid. In order to facilitate statistics of service usage, the base station parameters used in this step mainly include user side data. The user-side data may include detail data, billing data, customer collecting data, GN data, and the like.
The detailed data mainly comprises service occurrence time, service duration, data service flow, service times, long-distance roaming types and the like, and is used for analyzing information such as service use duration, frequency, types and the like of users. The billing data mainly comprises month call duration, month flow, month consumption, terminal type, package type and age and gender, and is mainly used for carrying out qualitative analysis on the user, and further, the user is divided into various types such as an internet user, a heavy flow user and a high-value user. The customer collecting data mainly comprises a customer collecting enterprise type, a package type and the like, and the customer collecting tag is qualitative by a user. The GN data mainly includes video services, and is used for analyzing the video service requirements of users.
And S207, determining a micro grid index according to the first micro grid index and the micro grid, wherein the micro grid index is used for indicating the average service use condition of the micro grid.
In this embodiment, after determining the first micro grid index of the micro grid, the server divides the first micro grid index by the area of the micro grid to obtain the micro grid index used for indicating the service usage per square kilometer. According to the micro-grid index, the server can determine the micro-grid with large service demand. The micro grid with high traffic demand may be a micro grid with high user traffic and/or a micro grid with a high number of users.
S208, determining a first area according to the micro-grid index, wherein the first area is an area with the micro-grid index larger than a preset value.
In this embodiment, the server sorts and ranks the micro grids in the area to be addressed according to the micro grid index. The rating index of the server can include income, number of people, mobile internet three-dimensional guarantee, video service, specific user three-dimensional guarantee and the like. Wherein the rating of each index is determined by the rank of the slice.
For example, after ranking according to the total user revenue of each micro grid, the ranking of the revenue indicator takes the first 20% of the micro grids as level a, the first 50% of the micro grids as level B, the first 80% of the micro grids as level C, and the rest as level D.
And after the server obtains the indexes, calculating according to a preset weighting proportion to obtain the grade of each micro grid. The server determines the area where the micro grids at the preset level and above are located as the area with high service value. The preset level may be a level a, a level B, or a level C, which is not limited in this application.
S209, according to the base station portrait and the first area, determining a second area, wherein the second area is an area with the slice attribute of the base station portrait larger than a preset value.
In this embodiment, the server further determines the second area based on the first area. Wherein the first zone is a high business value zone. On the basis of the area, the server determines an area having a value of 5G therein as a second area.
The process of determining the second area specifically includes:
step 1, the server determines a base station portrait, namely 8 dimensions, wherein the 8 dimensions comprise service times, 4G users, flow, income, high-end computers, high value, high flow, potential 5G users and the like.
And 2, the server determines the dimension combination according to the preset slicing requirements. For example, the server determines that the dimension combination of the slice includes the potential 5G user according to the preset requirement of the slice of the potential 5G user.
And 3, the server determines a set of base stations with the slice attribute according to the dimension combination.
And 4, the server determines a set of base stations with all the slice attributes according to at least one slice. The method for determining the base station with all slices may be to take an intersection of the sets of each slice in step 3.
And 5, determining the area of the base station in the set according to the set determined in the step 4.
And 6, determining that the overlapping area of the area where the base station is located and the high-value area is a 5G value area.
And S210, determining the 5G weak coverage area according to the base station parameters.
In this embodiment, the server determines the site of the current network base station according to the base station parameters. Aiming at the existing network base station, the working personnel realizes the setting of the 5G base station by rebuilding the existing network.
The signal used by the current network base station is a 4G signal. Under the condition that the same station address resources are adopted and the propagation paths of the transmitting end and the receiving end are the same, the coverage area of the 5G base station is smaller than that of the 4G base station. Therefore, the server determines a 5G weak coverage area which will appear after the current network base station is reconstructed into the 5G base station according to the station address of the current network base station. The calculation process of the 5G weak coverage area may include the following two steps:
step 1, the server calculates 5G weak coverage sampling points.
When the PL _ DL values of the band offset compensation are the same, the process of the server calculating the Reference Signal Receiving Power (RSRP) of the 5G base station includes:
the calculation formulas of PL _ DL _4G and PL _ DL _5G are as follows:
PL_DL_4G＝P_Tx_4G+Ga_4G-BUILDINGLOSS_4G-RSRP_4G
PL_DL_5G＝P_Tx_5G+Ga_5G-BUILDINGLOSS_5G-RSRP_5G
according to PL _ DL _4G and PL _ DL _5G, RSRP _5G can be calculated, and the calculation formula is as follows:
RSRP_5G＝PL_DL_5G-PL_DL_4G
substituting the specific contents of PL _ DL _4G and PL _ DL _5G above can obtain:
RSRP_5G＝(P_Tx_5G-P_Tx_4G)+(Ga_5G-Ga_4G)+RSRP_4G-(BUILDINGLOSS_5G-BUILDINGLOSS_4G)-(PL_DL_5G-PL_DL_4G)
wherein, P _ Tx _5G-P _ Tx _4G is the difference between the transmission power of 5G base station and 4G base station; ga _5G-Ga _4G is the difference between the antenna gains of 5G and 4G; BUILDING _5G-BUILDING _4G is the difference between the 5G and 4G building penetration losses; PL _ DL _5G-PL _ DL _4G characterize the path loss difference between the bands.
According to the formula, the RSRP _5G can be determined by the current network RSRP _4G measurement value. Wherein RSRP _5G below-100 dB is defined as the 5G weak coverage sample point.
And 2, determining the clustering center of the 5G weak coverage sampling point by using a clustering algorithm according to the 5G weak coverage sampling point by the server.
And 3, the server determines whether the number of the 5G weak coverage sampling points is larger than the preset number within a preset range according to the clustering center. If the number of the 5G weak coverage sampling points is larger than the preset number, the server gathers the 5G weak coverage sampling points in the area into a weak coverage area
The preset range may be determined according to actual conditions, and is 200 meters, for example. The preset number may be determined according to actual conditions, for example, 3. Take the example that 3 signal weak coverage sampling points appear in the range of 200 meters. As shown in fig. 5 (a), the large circle is a schematic view of the range of 200 meters. Within this 200 meter range, 3 weakly covered sample points occur. As shown in fig. 5 (b), from the 3 weak coverage sampling points within the 200 m range, a weak coverage area is determined, which includes 3 weak coverage sampling points therein.
And S211, determining a 5G new station address according to the 5G weak coverage area.
In this embodiment, after determining the 5G weak coverage area, the server determines that a new 5G base station needs to be set up in the area to implement signal coverage of the 5G weak coverage area.
And S212, determining all 5G station addresses according to the base station parameters and the 5G new station addresses.
In this embodiment, after determining the 5G new station address of the 5G weak coverage area, the server combines the existing network base station and the 5G new station address to obtain all the 5G station addresses.
And S213, determining a 5G station address library according to the 5G station address.
In this embodiment, all the 5G station address sets obtained by the server in the above steps are the 5G station address library.
According to the base station position determining method, the server collects various existing network data, and performs the steps of data cleaning, data requirement conversion, data butt joint and the like on the existing network data to obtain base station parameters and user characteristics. The server determines a base station representation based on the base station parameters. And the server determines the micro-grid of the area to be addressed according to the aggregation condition of the user characteristics. And the server determines the Thiessen diagram of the base station of the area to be addressed according to the base station parameters. And the server determines the mapping relation of the micro-grid Thiessen diagram according to the Thiessen diagram and the micro-grid, and further determines the mapping relation between the base station parameters and the micro-grid. And the server determines the grid index of each micro grid according to the mapping relation between the base station parameters and the micro grids. And then, the server determines a high-service-value area by grading the micro-grid indexes. On the basis of the high service value area, the server determines a 5G value area according to the slice of the base station portrait. And the server determines a possible 5G weak coverage area in the 5G value area on the basis of reconstructing a 5G base station by the current network base station according to the 5G value area and the base station parameters. And the server determines a 5G new station address according to the 5G weak coverage area and obtains a 5G station address library. According to the method and the device, the determination of a high-service value area and a 5G value area is realized by obtaining the base station portrait and the micro-grid index, then the 5G station address in the area to be addressed is determined, the automatic positioning of the 5G station address is realized, and the effect of improving the addressing efficiency in large-scale addressing is realized on the basis of meeting the requirements of slicing and personalized network coverage in the 5G era and the functional requirement of fast iteration of the mobile internet.
Fig. 6 shows a flowchart of another method for determining a location of a base station according to an embodiment of the present application. On the basis of the embodiments shown in fig. 1 to 5, as shown in fig. 6, with a server as an execution subject, the method of this embodiment may include the following steps:
s301, obtaining base station parameters and user characteristics of the area to be addressed.
S302, according to the base station parameters, a base station portrait is determined, wherein the base station portrait comprises a personalized label which is exclusive to each base station.
S303, determining a micro grid index according to the user characteristics and the base station parameters, wherein the micro grid index is used for indicating the service use condition in the micro grid, and the micro grid is determined according to the aggregation condition of the user characteristics.
S304, determining a 5G station address base according to the micro grid index and the base station portrait.
Steps S301 to S304 are similar to steps S101 to S104 in the embodiment of fig. 2, and are not described herein again.
S305, optimizing the 5G station address in the 5G station address library according to the deleted station address library.
In this embodiment, the server obtains the delete station address library from the memory. During the process of building the station, there may exist some areas which are not suitable for building the station, such as an ultrahigh station, a high interference station site, a site which is not agreed by the owner, and the like. And aiming at the station address, the server stores the area into a deleted station address library so as to optimize the replacement.
The deletion site base also comprises a replacement site. For each deleted site, one or more alternative sites may be correspondingly stored, so as to facilitate replacement after the site is deleted.
After the server obtains the 5G station address library, the server confirms whether the 5G station address appears in the deleting station address library one by one. And if the 5G station address appears in the deleted station address library, the server replaces the 5G station address according to a replacement station address prestored in the deleted station address library.
And S306, displaying the 5G station address library according to the display instruction.
In this embodiment, after the server obtains the 5G station address library, the area to be selected and the 5G station address in the area to be selected may be displayed in the display interface.
In one implementation, the display interface may further include a personalized display instruction. And after the server acquires the personalized display instruction selected by the user, displaying the personalized display result in the display interface.
The personalized display instruction may include displaying a 5G station address with a certain slice attribute, displaying the 5G station address in a different color or pattern, and the like.
S307, supplementing the 5G station address in the 5G station address library according to the 5G station address supplementing command.
In this embodiment, the server may further perform an operation on a certain 5G station address in the display interface. The operation includes deleting a site in the 5G site library, adding a 5G site at a certain location, etc.
According to the base station position determining method, after the server obtains the 5G station address base, the 5G station address of the area to be selected is displayed on the display interface. The server realizes the operations of personalized display, station address supplement and the like by obtaining the operation instruction of the user. According to the method and the device, the 5G station address of the area to be selected is displayed on the display interface, and the interactive instruction of the user is obtained, so that the manual optimization of the 5G station address of the area to be selected is realized, and the effectiveness of the station building planning of the 5G station address is improved.
Fig. 7 is a schematic structural diagram of another base station position determining apparatus according to an embodiment of the present application, and as shown in fig. 7, a base station position determining apparatus 10 according to the present embodiment is used to implement an operation corresponding to a server in any one of the method embodiments described above, where the base station position determining apparatus 10 according to the present embodiment includes:
an obtaining module 11, configured to obtain a base station parameter and a user characteristic of an area to be addressed.
The first determining module 12 is configured to determine a base station portrait according to the base station parameters, where the base station portrait includes an exclusive personalized tag of each base station.
And a second determining module 13, configured to determine a micro grid index according to the user characteristic and the base station parameter, where the micro grid index is used to indicate a service usage condition in a micro grid, and the micro grid is determined according to an aggregation condition of the user characteristic.
And a third determining module 14, configured to determine a 5G station address base according to the micro grid index and the base station representation.
The base station location determining apparatus 10 provided in the embodiment of the present application may implement the method embodiment, and for details of implementation principles and technical effects, reference may be made to the method embodiment, which is not described herein again.
Fig. 8 is a schematic structural diagram of another base station location determining apparatus according to an embodiment of the present application. On the basis of the embodiment shown in fig. 7, as shown in fig. 8, the base station position determining apparatus 10 of the present embodiment is configured to implement the operation corresponding to the server in any one of the above-described method embodiments, and the base station position determining apparatus 10 of the present embodiment includes:
the second determining module 13 specifically includes:
the micro grid determining submodule 131 is configured to determine at least one micro grid according to the user characteristics, where users in the micro grid have the same or similar user characteristics.
And a micro grid index determining submodule 132, configured to determine a micro grid index according to the base station parameter and the micro grid.
The micro grid index determining submodule 132 is specifically configured to determine a thiessen diagram of a base station in the to-be-selected area according to the base station parameter. And determining the mapping relation between the base station parameters and the micro grids according to the micro grids and the Thiessen diagram. And determining the micro-grid index according to the base station parameters, the micro-grid and the mapping relation.
In one example, the specific step of determining the micro grid index according to the base station parameter, the micro grid and the mapping relationship includes:
step 1, determining a first micro-grid index according to the base station parameter and the mapping relation, wherein the first micro-grid index is used for indicating the total service use condition of the micro-grid.
And 2, determining a micro grid index according to the first micro grid index and the micro grid, wherein the micro grid index is used for indicating the average service use condition of the micro grid.
The third determining module 14 specifically includes:
the first region determining submodule 141 is configured to determine a first region according to the micro grid index, where the first region is a region where the micro grid index is greater than a preset value.
And a second area determining submodule 142, configured to determine a second area according to the base station portrait and the first area, where the second area is an area where a slice attribute of the base station portrait is greater than a preset value.
And the station address determining sub-module 143 is configured to determine, according to the second area, a 5G station address that may cover the second area.
And the station address base determining submodule 144 is configured to determine the 5G station address base according to the 5G station address.
The station address base determining module 144 is specifically configured to determine a 5G weak coverage area according to a base station parameter. And determining a 5G new station address according to the 5G weak coverage area. And determining all 5G station addresses according to the base station parameters and the 5G new station addresses.
The base station location determining apparatus 10 provided in the embodiment of the present application may implement the method embodiment, and for details of implementation principles and technical effects, reference may be made to the method embodiment, which is not described herein again.
Fig. 9 is a schematic structural diagram of another base station location determining apparatus according to an embodiment of the present application. On the basis of the embodiments shown in fig. 7 and fig. 8, as shown in fig. 9, the base station position determining apparatus 10 of the present embodiment is configured to implement the operation corresponding to the server in any one of the method embodiments described above, and the base station position determining apparatus 10 of the present embodiment further includes: the module 15 is modified.
And an obtaining sub-module 151, configured to obtain the 5G station address supplement instruction.
And a modification submodule 152, configured to supplement the 5G station address in the 5G station address library according to the 5G station address supplement instruction.
The base station location determining apparatus 10 provided in the embodiment of the present application may implement the method embodiment, and for details of implementation principles and technical effects, reference may be made to the method embodiment, which is not described herein again.
Fig. 10 shows an architecture diagram of a server provided in an embodiment of the present application. As shown in fig. 10, the server 20 is configured to implement the operation corresponding to the server in any of the above method embodiments, and the architecture of the server 20 in this embodiment may include: a data access layer, a service logic layer and an interface layer.
And the data access layer is used for accessing the files in the data system in the operation process of the data access layer to realize the reading and saving operation of the data in the database.
A service logic layer, configured to implement the method for determining a location of a base station according to any one of the embodiments in fig. 1 to fig. 5.
And the interface layer is used for providing an interactive operation interface, displaying a data processing result of the service logic layer, receiving and transmitting data of the user and realizing information interaction between the user and the server.
The server 20 provided in the embodiment of the present application may execute the above method embodiment, and for concrete implementation principles and technical effects, reference may be made to the above method embodiment, which is not described herein again.
Fig. 11 shows a hardware structure diagram of a server according to an embodiment of the present application. As shown in fig. 11, the server 20 is configured to implement the operation corresponding to the server in any of the above method embodiments, where the server 20 of this embodiment may include: memory 21, processor 22, communication interface 24 and display 25.
A memory 21 for storing a computer program.
The Memory may include a Random Access Memory (RAM), and may further include a Non-Volatile Memory (NVM), such as at least one magnetic disk Memory, and may also be a usb disk, a removable hard disk, a read-only Memory, a magnetic disk or an optical disk.
A processor 22 for executing the computer program stored in the memory to implement the base station location determination method in the above-described embodiments. Reference may be made in particular to the description relating to the method embodiments described above.
Alternatively, the memory 21 may be separate or integrated with the processor 22.
When the memory 21 is a device separate from the processor 22, the server 20 may further include:
a bus 23 for connecting the memory 21 and the processor 22.
The bus may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended ISA (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, the buses in the figures of the present application are not limited to only one bus or one type of bus.
Optionally, a communication interface 24, which communication interface 24 may be connected to the processor 21 via a bus 23. Processor 22 may control communication interface 24 to perform the above-described receiving and transmitting functions of server 20.
Optionally, a display 25, the display 25 may be connected to the processor 21 via the bus 23. The processor 22 may control the display 25 to display the processing result.
The server provided in this embodiment may be used to execute the method for determining a location of a base station, and the implementation manner and the technical effect are similar, which are not described herein again.
The present application also provides a computer-readable storage medium, in which a computer program is stored, and the computer program is used for implementing the methods provided by the above-mentioned various embodiments when being executed by a processor.
The computer-readable storage medium may be a computer storage medium or a communication medium. Communication media includes any medium that facilitates transfer of a computer program from one place to another. Computer storage media may be any available media that can be accessed by a general purpose or special purpose computer. For example, a computer readable storage medium is coupled to the processor such that the processor can read information from, and write information to, the computer readable storage medium. Of course, the computer readable storage medium may also be integral to the processor. The processor and the computer-readable storage medium may reside in an Application Specific Integrated Circuit (ASIC). Additionally, the ASIC may reside in user equipment. Of course, the processor and the computer-readable storage medium may also reside as discrete components in a communication device.
The computer-readable storage medium may be implemented by any type of volatile or nonvolatile Memory device or combination thereof, such as Static Random-Access Memory (SRAM), electrically-Erasable Programmable Read-Only Memory (EEPROM), erasable Programmable Read-Only Memory (EPROM), programmable Read-Only Memory (PROM), read-Only Memory (ROM), magnetic Memory, flash Memory, magnetic disk or optical disk. A storage media may be any available media that can be accessed by a general purpose or special purpose computer.
The present invention also provides a program product comprising execution instructions stored in a computer readable storage medium. The at least one processor of the device may read the execution instructions from the computer-readable storage medium, and the execution of the execution instructions by the at least one processor causes the device to implement the methods provided by the various embodiments described above.
It should be understood that the Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the present invention may be embodied directly in a hardware processor, or in a combination of the hardware and software modules within the processor.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, the division of the modules is only one logical division, and the actual implementation may have another division, for example, a plurality of modules may be combined or may be integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed coupling or direct coupling or communication connection between each other may be through some interfaces, indirect coupling or communication connection between devices or modules, and may be in an electrical, mechanical or other form.
Modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.
In addition, functional modules in the embodiments of the present application may be integrated into one processing unit, or each module may exist alone physically, or two or more modules are integrated into one unit. The unit formed by the modules can be realized in a hardware form, and can also be realized in a form of hardware and a software functional unit.
The integrated module implemented in the form of a software functional module may be stored in a computer-readable storage medium. The software functional module is stored in a storage medium and includes several instructions to enable a computer device (which may be a personal computer, a server, or a network device) or a processor to execute some steps of the methods according to the embodiments of the present application.
Those of ordinary skill in the art will understand that: all or a portion of the steps of implementing the above-described method embodiments may be performed by hardware associated with program instructions. The program may be stored in a computer-readable storage medium. Which when executed performs steps comprising the method embodiments described above. And the aforementioned storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic or optical disks.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same. While the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: it is also possible to modify the solutions described in the previous embodiments or to substitute some or all of the technical features. And the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (8)
1. A method for determining a location of a base station, the method comprising:
acquiring base station parameters and user characteristics of an area to be addressed; the base station parameters comprise base station longitude and latitude, base station standard, base station height and distance between base stations; the server processes the base station parameters and the user characteristics of the address selection area to obtain the base station parameters and the user characteristics with uniform data formats;
determining a base station portrait according to the base station parameters, wherein the base station portrait comprises an exclusive personalized tag of each base station;
determining a micro-grid index according to the user characteristics and the base station parameters, wherein the micro-grid index is used for indicating the service use condition in a micro-grid, and the micro-grid is determined according to the aggregation condition of the user characteristics;
determining a 5G station address library according to the micro grid index and the base station portrait;
the determining the micro-grid index according to the user characteristics and the base station parameters comprises: determining at least one micro grid according to the user characteristics, wherein users in the micro grid have the same or similar user characteristics; determining the micro-grid index according to the base station parameters and the micro-grid;
the step of determining a 5G station address base according to the micro grid index and the base station portrait comprises the following steps: determining a first area according to the micro-grid index, wherein the first area is an area with the micro-grid index larger than a preset value; determining a second area according to the base station portrait and the first area, wherein the second area is an area with the slice attribute of the base station portrait larger than a preset value; determining a 5G station address which can cover the second area according to the second area; and determining the 5G station address library according to the 5G station address.
2. The method of claim 1, wherein the determining the micro grid indicator according to the base station parameter and the micro grid comprises:
determining a Thiessen diagram of the base station in the area to be addressed according to the base station parameters;
determining a mapping relation between the base station parameters and the micro grids according to the micro grids and the Thiessen diagram;
and determining the micro-grid index according to the base station parameters, the micro-grid and the mapping relation.
3. The method of claim 2, wherein the determining the micro-grid indicator according to the base station parameter, the micro-grid and the mapping relationship comprises:
determining a first micro-grid index according to the base station parameter and the mapping relation, wherein the first micro-grid index is used for indicating the total service use condition of the micro-grid;
and determining the micro grid index according to the first micro grid index and the micro grid, wherein the micro grid index is used for indicating the average service use condition of the micro grid.
4. The method of claim 1, wherein the determining the 5G site that can cover the second area according to the second area comprises:
determining a 5G weak coverage area according to the base station parameters;
determining a 5G new station address according to the 5G weak coverage area;
and determining all the 5G station addresses according to the base station parameters and the 5G new station addresses.
5. The method for determining the position of a base station according to any one of claims 1 to 4, wherein the method further comprises:
acquiring a 5G station address supplement instruction;
and supplementing the 5G station address in the 5G station address library according to the 5G station address supplementing instruction.
6. A base station location determining apparatus, comprising:
the acquisition module is used for acquiring base station parameters and user characteristics of an area to be addressed;
the first determining module is used for determining a base station portrait according to the base station parameters, wherein the base station portrait comprises an exclusive personalized tag of each base station; the base station parameters comprise base station longitude and latitude, base station standard, base station height and distance between base stations;
a second determining module, configured to determine a micro grid index according to the user characteristic and the base station parameter, where the micro grid index is used to indicate a service usage condition in a micro grid, and the micro grid is determined according to an aggregation condition of the user characteristic;
a third determining module, configured to determine a 5G station address base according to the micro grid index and the base station representation;
the first determining module is specifically configured to process the base station parameters and the user characteristics of the address selection area to obtain the base station parameters and the user characteristics with uniform data formats;
the second determining module is specifically configured to determine at least one micro grid according to the user characteristics, where users in the micro grid have the same or similar user characteristics; determining the micro-grid index according to the base station parameters and the micro-grid;
the third determining module is specifically configured to determine a first area according to the micro grid index, where the first area is an area where the micro grid index is greater than a preset value; determining a second area according to the base station portrait and the first area, wherein the second area is an area with the slice attribute of the base station portrait larger than a preset value; determining a 5G station address which can cover the second area according to the second area; and determining the 5G station address library according to the 5G station address.
7. A base station position determining apparatus comprising: a memory, a processor;
a memory for storing executable instructions of the processor;
a processor for implementing the base station location determination method of any one of claims 1 to 5.
8. A computer-readable storage medium having computer-executable instructions stored thereon, which when executed by a processor, are configured to implement the method of determining the position of a base station according to any one of claims 1 to 5.
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