CN115515143A - Method, device and equipment for determining coverage scene of base station and storage medium - Google Patents
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Abstract
The application discloses a method, a device, equipment and a storage medium for determining a coverage scene of a base station. The method comprises the following steps: obtaining interest point data of a plurality of interest points in a coverage area of a base station and minimization of drive test data of a plurality of user terminals, wherein the interest point data at least comprises position information of the interest points; determining at least one sampling point position information corresponding to each user terminal based on the MDT data of each user terminal in a plurality of user terminals; determining a weight value of each interest point in a plurality of interest points based on at least one sampling point position information corresponding to each user terminal and position information of each interest point in the plurality of interest points; and determining a coverage scene of the base station in a plurality of preset coverage scenes according to the weight value of each interest point in the plurality of interest points. By adopting the technical scheme provided by the application, the base station coverage scene can be judged in large scale, the efficiency is high, and the accuracy is high.
Description
Technical Field
The present application relates to the field of mobile communications technologies, and in particular, to a method, an apparatus, a device, and a storage medium for determining a coverage scenario of a base station.
Background
Wireless network operation and optimization personnel often need to perform data analysis, parameter adjustment and other tasks of scene coverage on a base station, such as batch scene parameter setting, communication guarantee, scene index analysis and the like. In these works, the base station coverage scene data is the basic data of data analysis, and the accuracy of the scene data plays an important role in the accuracy of the final data analysis result and the feasibility of optimization and adjustment.
Currently, the base station coverage scene determination mainly depends on manual judgment. When the coverage scene of the base station is determined manually, the labor intensity of manually determining the coverage scene of the base station is high and the efficiency is low due to the fact that the number of the base stations is more and more, the surrounding environment of the base stations is more and more complex, and the coverage scene of the base stations is more. Moreover, in the process of checking the coverage scene data of the base station in daily life, the problem that the coverage scene data of the base station is wrong or the information acquisition is not completely free of the scene data when the coverage scene of the base station is determined manually is found.
Disclosure of Invention
An object of the embodiments of the present application is to provide a method, an apparatus, a device, and a storage medium for determining a coverage scenario of a base station, which can solve the technical problem in the prior art that the efficiency of manually determining the coverage scenario of the base station is low.
The technical scheme of the application is as follows:
in a first aspect, a method for determining a coverage scenario of a base station is provided, including:
obtaining interest point data of a plurality of interest points in a coverage area of a base station and minimization of drive test data of a plurality of user terminals, wherein the interest point data at least comprises position information of the interest points;
determining at least one sampling point position information corresponding to each user terminal based on the MDT data of each user terminal in a plurality of user terminals;
determining a weight value of each interest point in a plurality of interest points based on at least one sampling point position information corresponding to each user terminal and position information of each interest point in the plurality of interest points;
and determining a coverage scene of the base station in a plurality of preset coverage scenes according to the weight value of each interest point in the plurality of interest points.
In some embodiments, obtaining point of interest data of a plurality of points of interest within a coverage area of a base station includes:
acquiring a preset electronic map;
and acquiring the interest point data of a plurality of interest points in the coverage area of the base station based on a preset electronic map.
In some embodiments, the point of interest data further includes at least one of an outline, a total area, a floor spacing, a name, a building type, a commercial use of the point of interest.
In some embodiments, determining a weight value of each of the plurality of interest points based on the at least one sampling point location information corresponding to each user terminal and the location information of each of the plurality of interest points includes:
determining the number of sampling points distributed in each interest point in a plurality of interest points based on at least one sampling point position information corresponding to each user terminal and the position information of each interest point in the plurality of interest points;
and determining the weight value of each interest point in the plurality of interest points based on the number of the sampling points distributed in each interest point in the plurality of interest points and the total number of the sampling points in the coverage range.
In some embodiments, before determining the coverage scenario of the base station in the plurality of preset coverage scenarios according to the weight value of each of the plurality of interest points, the method further includes:
and determining the weight value of the outdoor user based on the number of the sampling points distributed in the interest points and the total number of the sampling points in the coverage range.
Determining a coverage scenario of a base station in a plurality of preset coverage scenarios according to a weight value of each interest point in a plurality of interest points, comprising:
and determining a coverage scene of the base station in a plurality of preset coverage scenes according to the weight value of the outdoor user and the weight value of each interest point in the plurality of interest points.
In some embodiments, determining a coverage scenario of a base station in a plurality of preset coverage scenarios according to a weight value of each of a plurality of interest points includes:
determining an interest point with the largest weight value in the interest points as a first interest point;
under the condition that the weight value of the first interest point is larger than a first preset threshold value, determining a coverage scene of the base station in a plurality of preset coverage scenes based on the first interest point;
and under the condition that the weight value of the first interest point is smaller than a second preset threshold, determining that the coverage scene of the base station is a mixed scene, wherein the second preset threshold is smaller than the first preset threshold.
In some embodiments, in the case that the weighted value of the first point of interest is not greater than the first preset threshold and is not less than the second preset threshold, the method further includes:
determining the interest point with the second largest weight value in the interest points as a second interest point;
calculating a difference value between the first interest point weight value and the second interest point weight value;
determining a coverage scene of the base station in a plurality of preset coverage scenes based on the first interest point under the condition that the difference value is greater than a third preset threshold value;
and under the condition that the difference value is not greater than a third preset threshold value, determining that the coverage scene of the base station is a mixed scene.
In a second aspect, an apparatus for determining a coverage scenario of a base station is provided, including:
the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring interest point data of a plurality of interest points in a coverage area of a base station and minimization of drive test data of a plurality of user terminals, and the interest point data at least comprises position information of the interest points;
the sampling point determining module is used for determining at least one sampling point position information corresponding to each user terminal based on the MDT data of each user terminal in the plurality of user terminals;
the weight determining module is used for determining the weight value of each interest point in the interest points based on the position information of at least one sampling point corresponding to each user terminal and the position information of each interest point in the interest points;
and the scene determining module is used for determining the coverage scene of the base station in a plurality of preset coverage scenes according to the weight value of each interest point in the plurality of interest points.
In a third aspect, an embodiment of the present application provides an electronic device, which includes a processor, a memory, and a program or an instruction stored on the memory and executable on the processor, where the program or the instruction, when executed by the processor, implements the steps of the method for determining a coverage scenario of a base station according to the first aspect.
In a fourth aspect, an embodiment of the present application provides a readable storage medium, on which a program or instructions are stored, which when executed by a processor implement the steps of the base station coverage scenario determination method according to the first aspect.
The technical scheme provided by the embodiment of the application at least has the following beneficial effects:
according to the method for determining the coverage scene of the base station, the coverage scene of the base station is judged according to the weight value of each interest point. When the weight value of each interest point is determined, the distribution condition of the actual users, namely the distribution condition of the sampling points, is considered, so that the accuracy of the final scene judgment result is higher; the method comprises the steps of obtaining interest point data and MDT data in a coverage range of a base station, determining sampling points through the MDT data, obtaining all data through an interface, further performing large-scale batch judgment, and rapidly judging 10 ten thousand + level base station sector scene attributes.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.
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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 and are not to be construed as limiting the application.
Fig. 1 is a schematic flowchart of a method for determining a coverage scenario of a base station according to an embodiment of the present application;
FIG. 2 is a flow chart illustrating a process of determining a coverage scenario in an embodiment of the present application;
fig. 3 is a schematic structural diagram of a base station coverage scenario determination apparatus according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
In order to make the technical solutions of the present application better understood by those of ordinary skill in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are merely illustrative of, and not restrictive on, the present application. It will be apparent to one skilled in the art that the present application may be practiced without some of these specific details. The following description of the embodiments is merely intended to provide a better understanding of the present application by illustrating examples thereof.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the application described herein are capable of operation in sequences other than those illustrated or described herein. The implementations described in the following exemplary examples do not represent all implementations consistent with the present application. Rather, they are merely examples consistent with certain aspects of the present application, as detailed in the appended claims.
Based on the background technology, the labor intensity and the efficiency of manually determining the coverage scene of the base station are high and low in the prior art, and the inventor also finds that the problem that the coverage scene data of the base station is wrong or the information acquisition is not complete without the scene data often occurs when the coverage scene of the base station is manually determined in the daily process of checking the coverage scene data of the base station.
Specifically, in the wireless network optimization and planning work, the base station sector often needs to be subjected to the work of scene-oriented data analysis, parameter adjustment and the like, such as batch scene-oriented parameter setting, communication guarantee, scene-oriented index analysis and the like. Since the scene data of the sector of the base station is the basic data of data analysis, the accuracy of the scene data plays an important role in the accuracy of the final data analysis result and the feasibility of optimization and adjustment. The existing base station sector coverage scene attribute judgment is mainly carried out manually. There are three main types of manual determination means.
1. Surveying on site, and judging by combining with the characteristics of the geographic environment;
2. directly judging according to the building name;
3. and checking information such as the outline, layout, position and the like of buildings around the base station through an online electronic map and a satellite map to perform rough judgment.
The judgment by the human is problematic as follows.
1. Because the number of base stations is huge and the scenes are numerous, manual judgment is generally only performed on common typical scenes, such as residential areas, office buildings, campuses, tunnels, scenic spots, coastal roads and the like. The problems of incomplete scene information, low classification accuracy, low efficiency and the like exist;
2. when the scene coverage attribute changes, the scene coverage attribute is not easy to be found in time, and the problem of misjudgment of the scene coverage attribute is easy to be caused.
The inventor analyzes and discovers that the main reason of the problems is that the current base station sector scene attribute judgment mode mainly depends on manual judgment, and due to the difference of subjective understanding of different people, certain deviation exists in statistical records, especially for complex and changeable scenes; meanwhile, the scene attribute is judged manually, and the problem of low efficiency also exists. Therefore, in the face of the current complex and changeable wireless environment and diversified scene data analysis appeal, how to accurately and efficiently judge the scene attribute of the sector of the base station is difficult to effectively solve in the network optimization.
Based on the above findings, embodiments of the present application provide a method, an apparatus, a device, and a storage medium for determining a coverage scenario of a base station, and aim to solve the problems of low efficiency and low accuracy of existing scenario identification.
For a better understanding of the present application, prior to introducing specific embodiments thereof, technical terms used in describing the embodiments of the present application will be introduced first.
A base station, i.e. a public mobile communications base station, is an interface device for mobile devices to access the internet and is a form of radio station, which refers to a radio transceiver station for information transfer with mobile phone terminals through a mobile communications switching center in a certain radio coverage area.
The coverage area of a base station, i.e. the radiation area of the base station, is generally set as a reference by the power of the base station. In the urban area, the number of users is more, the signal quality is heavier, the general power is lower, the number of base stations is more, and the radius of a single coverage area is smaller. In suburbs, users are few, the emphasis is on signal coverage, the general power is high, base stations are few, and the radius of a coverage area is large.
A Point of Interest (POI) may also be referred to as a POI information Point or a property Point. Each POI typically contains four aspects of information, name, category, coordinates, classification. The point of interest data in this embodiment comprises at least location information of the point of interest.
The following describes a method, an apparatus, a device, and a storage medium for determining a coverage scenario of a base station according to an embodiment of the present application in detail with reference to the accompanying drawings.
Fig. 1 shows a flowchart of a method for determining a coverage scenario of a base station according to an embodiment of the present application, where the method may be applied to a system or an apparatus for determining a coverage scenario of a base station, and as shown in fig. 1, the method may include steps S110 to S140.
Step S110, obtaining interest point data of a plurality of interest points in the coverage area of the base station and minimization of drive test data of a plurality of user terminals, wherein the interest point data at least comprises position information of the interest points.
In this step, data may be collected based on a preset collection period. The point of interest data can be obtained through a preset electronic map according to the coverage range of the base station; the minimization drive test data can be obtained by screening from a minimization drive test database by combining the position information of the user terminal and the acquisition period. The user terminal is a device that inputs a program and data to a computer or receives a processing result from the computer via a communication facility. Common user terminals can be mobile phones, smart tablets, smart bands, smart watches, and the like.
As an example, the point of interest data may further specifically include at least one of an outline, a total area, a floor space, a name, a building type, a commercial use of the point of interest. The total area may be a projection area, the name may be a building name, and the location information may specifically be latitude and longitude information.
Step S120, determining at least one sampling point position information corresponding to each ue based on the minimization of drive test data of each ue in the plurality of ues.
And sampling points, wherein the system groups the MDT data of the same UE according to the position information in the MDT data, and each group corresponds to one sampling point. That is, since the position of the UE moves in the preset data collection period, one UE corresponds to a plurality of sampling points.
In this step, the system determines, according to the acquired MDT data, position information of at least one sampling point corresponding to each user terminal, that is, each UE.
The system acquires user sampling point distribution data through MDT data, and the acquired information comprises information such as MME UE S1AP ID, serving cell PCI, serving cell frequency point, serving cell RSRP, UE longitude and UE latitude.
Step S130, determining a weight value of each of the plurality of interest points based on the at least one sampling point position information corresponding to each user terminal and the position information of each of the plurality of interest points.
The system determines the weight value of each interest point according to the distribution condition of the sampling points in the interest points. The weighted value of each interest point may specifically be positively correlated with the number of sampling points distributed in the interest point. The detailed determination process of the weight value is described in the following specific embodiments, and is not described herein again.
Step S140, determining a coverage scenario of the base station in a plurality of preset coverage scenarios according to the weight value of each of the plurality of interest points.
The coverage scene is related to the surrounding environment of the base station, and specifically, a plurality of selectable coverage scenes may be preset, for example, residential areas, office buildings, campuses, tunnels, scenic spots, riversides and the like.
The system can select the covering scene with the highest matching degree from the preset covering scenes according to the weight value of the interest point. The specific selection process is detailed in the following specific embodiments, and is not described herein again.
The method for determining the coverage scene of the base station, provided by the embodiment of the application, not only considers the distribution situation of actual users, but also ensures the accuracy of the final scene judgment result, can perform large-scale batch judgment, can quickly judge the scene attribute of 10 ten thousand + level base station sectors, and has the advantages of high efficiency in the judgment process and accurate judgment result.
In some embodiments, the weighted value of the interest point may specifically be positively correlated with the number of the sampling points distributed in the interest point, and based on this step S130, steps S131 to S132 may specifically be included.
Step S131, determining the number of sampling points distributed in each interest point of the plurality of interest points based on at least one sampling point position information corresponding to each user terminal and the position information of each interest point of the plurality of interest points.
The location information of the point of interest may specifically be a location interval.
The sampling point position information may specifically be a position point, or a position interval smaller than the interest point position interval.
The system can judge whether each sampling point is positioned in the position interval of the interest point according to the position information of the sampling points, and count the number of the sampling points in the position interval of each interest point.
Step S132, determining a weight value of each interest point in the plurality of interest points based on the number of the sampling points distributed in each interest point in the plurality of interest points and the total number of the sampling points in the coverage range.
As an example, the system may determine a weight value of each interest point according to the number of distributed sample points in the interest point, and the weight value may be positively correlated with the number.
In some embodiments, since some of the sample points are not in the location interval of the point of interest, the weights of the sample points not in the point of interest should also be considered when determining the coverage scenario of the base station. Based on this, step S140 may further include step S150 before.
And step S150, determining the weight value of the outdoor user based on the number of the sampling points distributed in the interest points and the total number of the sampling points in the coverage range.
The process of determining the weight value of the outdoor user is similar to the process of determining the weight value of the interest point, and the weight value is determined after screening statistics is carried out on the position information.
At this time, step S140 may determine a coverage scenario of the base station in a plurality of preset coverage scenarios according to the weight value of the outdoor user and the weight value of each of the plurality of interest points.
When the system determines the coverage scene, the coverage scene is comprehensively determined according to the weight value of the outdoor user and the weight value of each interest point.
As an example, the POI and sampling point distribution data may be subjected to correlation calculation through longitude and latitude to obtain a weighted value of each POI and a weighted value of an outdoor user in a coverage area of the base station, and the specific calculation method may be as follows:
the point of interest weight value is calculated as follows:
the calculation mode of the outdoor user weight value is as follows:
the method for determining the coverage scene of the base station, provided by the embodiment of the application, not only considers the distribution situation of the actual user in the interest points, but also considers the distribution situation of the user in the non-interest points, and further ensures the accuracy of the final scene judgment result.
In some embodiments, a specific decision may be made according to a relationship between the interest point weight value and a preset threshold in deciding to cover the scene, based on which step S140 may include steps S141 to S143.
Step S141, determining the interest point with the maximum weight value in the interest points as a first interest point;
step S142, determining a coverage scene of the base station in a plurality of preset coverage scenes based on the first interest point under the condition that the weight value of the first interest point is greater than a first preset threshold value;
step S143, determining that the coverage scene of the base station is a mixed scene when the weight value of the first interest point is smaller than a second preset threshold, where the second preset threshold is smaller than the first preset threshold.
In some embodiments, the step S140 may further include steps S144-S147 in a case that the weight value of the first interest point is not greater than the first preset threshold and not less than the second preset threshold.
Step S144, determining the interest point with the second largest weight value in the interest points as a second interest point;
step S145, calculating a difference value between the first interest point weight value and the second interest point weight value;
step S146, determining a coverage scene of the base station in a plurality of preset coverage scenes based on the first interest point under the condition that the difference value is greater than a third preset threshold value;
and step S147, determining that the coverage scene of the base station is a mixed scene under the condition that the difference value is not greater than a third preset threshold value.
Referring to fig. 2, the process of determining the coverage scene in the above steps S141-S147 is described in detail below by using a specific example.
As shown in FIG. 2, the system may first extract the user distribution weight value W of the maximum interest point (the first interest point in the foregoing text) o Calculating and judging W o Whether it is greater than a first preset threshold value T high If the number of the base station coverage scenes is larger than the preset number, the base station coverage scene is o, otherwise, the next step of calculation is carried out;
whether the distribution weighted values of all the interest point users are smaller than a second preset threshold value T low If yes, the base station coverage scene is a mixed scene, otherwise, the next calculation is carried out;
first interest point weight value W o Whether it is greater than the second point of interest weight value W s + weight bias B s If yes, the base station coverage scene is o, otherwise, the base station coverage scene is a mixed scene.
Wherein o and s represent scenes corresponding to POI, and a first preset threshold value T is adopted high May be greater than 50%, a second preset threshold T low Can be less than 50% and greater than 20%, weight bias B s May be less than or equal to a second preset threshold T low And 15 percent, and the specific setting can be adjusted according to actual conditions.
Based on the same inventive concept, the embodiment of the application also provides a device for determining the coverage scene of the base station.
Fig. 3 shows a base station coverage scenario determination apparatus according to an embodiment of the present application, and as shown in fig. 3, the base station coverage scenario determination apparatus 300 may include:
a first obtaining module 310, configured to obtain point of interest data of multiple points of interest within a coverage area of a base station and minimization of drive test data of multiple user terminals, where the point of interest data at least includes location information of the points of interest;
the sampling point determining module 320 may be configured to determine, based on minimization of drive test data of each of a plurality of user terminals, at least one piece of sampling point position information corresponding to each user terminal;
the weight determining module 330 may be configured to determine a weight value of each of the multiple interest points based on at least one sampling point location information corresponding to each user terminal and location information of each of the multiple interest points;
the scene determining module 340 may be configured to determine a coverage scene of the base station in a plurality of preset coverage scenes according to a weight value of each of the plurality of interest points.
In some embodiments, the first obtaining module 310 may include a first obtaining unit, a second obtaining unit, and a third obtaining unit.
The first acquisition unit can be used for acquiring a preset electronic map;
the second obtaining unit may be configured to obtain, based on a preset electronic map, point of interest data of a plurality of points of interest within a coverage area of the base station;
and the third acquisition unit may be configured to obtain minimization of drive test data for a plurality of ues.
In some embodiments, the point of interest data further includes at least one of an outline, a total area, a floor spacing, a name, a building type, a commercial use of the point of interest.
In some embodiments, the weight determination module 330 may include a first calculation unit and a second calculation unit.
The first computing unit may be configured to determine, based on at least one sampling point location information corresponding to each user terminal and location information of each of a plurality of interest points, the number of sampling points distributed in each of the plurality of interest points;
the second calculating unit may be configured to determine a weight value of each of the plurality of interest points based on the number of the sampling points distributed in each of the plurality of interest points and the total number of the sampling points in the coverage range.
In some embodiments, the base station coverage scenario determination apparatus 300 may further include an outdoor weight module.
The outdoor weighting module may be configured to determine a weighting value of an outdoor user based on the number of sampling points distributed in the multiple points of interest and the total number of sampling points in a coverage range before determining a coverage scenario of the base station in multiple preset coverage scenarios according to a weighting value of each point of interest in the multiple points of interest.
The scene determining module 340 may be specifically configured to determine a coverage scene of the base station in a plurality of preset coverage scenes according to the weight value of the outdoor user and the weight value of each of the plurality of interest points.
In some embodiments, the scene determining module 340 may include a first information processing module, a first scene determining unit, and a second scene determining unit.
The first information processing module may be configured to determine, as a first interest point, an interest point with a largest weight value among the plurality of interest points;
the first scene determining unit may be configured to determine, in a case that a weight value of the first interest point is greater than a first preset threshold, a coverage scene of the base station in a plurality of preset coverage scenes based on the first interest point;
the second scene determining unit may be configured to determine that the coverage scene of the base station is a mixed scene when the weight value of the first interest point is smaller than a second preset threshold, where the second preset threshold is smaller than the first preset threshold.
In some embodiments, the scene determining module 340 may further include a third scene determining unit, a third calculating unit, a fourth scene determining unit, and a fifth scene determining unit.
The third scene determining unit may be configured to determine, as the second interest point, an interest point with a second largest weight value among the plurality of interest points when the weight value of the first interest point is not greater than the first preset threshold and is not less than the second preset threshold;
a third calculating unit, configured to calculate a difference between the first interest point weight value and the second interest point weight value;
a fourth scenario determination unit, configured to determine, if the difference is greater than a third preset threshold, a coverage scenario of the base station in a plurality of preset coverage scenarios based on the first interest point;
the fifth scene determining unit may be configured to determine that the coverage scene of the base station is a mixed scene when the difference is not greater than a third preset threshold.
The base station coverage scenario determining apparatus provided in the embodiment of the present application may be configured to execute the base station coverage scenario determining method provided in the foregoing method embodiments, and the implementation principle and the technical effect are similar, and for the sake of brevity, no further description is given here.
Based on the same inventive concept, the embodiment of the application also provides the electronic equipment.
Fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present application. As shown in fig. 4, the electronic device may include a processor 401 and a memory 402 storing computer programs or instructions.
Specifically, the processor 401 may include a Central Processing Unit (CPU), or an Application Specific Integrated Circuit (ASIC), or may be configured to implement one or more Integrated circuits of the embodiments of the present Application.
The processor 401 reads and executes the computer program instructions stored in the memory 402 to implement any one of the base station coverage scenario determination methods in the above embodiments.
In one example, the electronic device may also include a communication interface 403 and a bus 410. As shown in fig. 4, the processor 401, the memory 402, and the communication interface 403 are connected via a bus 410 to complete communication therebetween.
The communication interface 403 is mainly used for implementing communication between modules, devices, units and/or devices in the embodiment of the present application.
The electronic device may execute the method for determining the coverage scenario of the base station in the embodiment of the present application, so as to implement the method and apparatus for determining the coverage scenario of the base station described in fig. 1 to fig. 4.
In addition, in combination with the method for determining a coverage scenario of a base station in the foregoing embodiment, the embodiment of the present application may provide a readable storage medium to implement. The readable storage medium having stored thereon program instructions; the program instructions, when executed by a processor, implement any one of the base station coverage scenario determination methods in the above embodiments.
It is to be understood that the present application is not limited to the particular arrangements and instrumentality described above and shown in the attached drawings. A detailed description of known methods is omitted herein for the sake of brevity. In the above embodiments, several specific steps are described and shown as examples. However, the method processes of the present application are not limited to the specific steps described and illustrated, and those skilled in the art can make various changes, modifications and additions, or change the order between the steps, after comprehending the spirit of the present application.
The functional blocks shown in the above-described structural block diagrams may be implemented as hardware, software, firmware, or a combination thereof. When implemented in hardware, it may be, for example, an electronic circuit, an Application Specific Integrated Circuit (ASIC), suitable firmware, plug-in, function card, or the like. When implemented in software, the elements of the present application are the programs or code segments used to perform the required tasks. The program or code segments may be stored in a machine-readable medium or transmitted by a data signal carried in a carrier wave over a transmission medium or a communication link. A "machine-readable medium" may include any medium that can store or transfer information. Examples of a machine-readable medium include electronic circuits, semiconductor memory devices, ROM, flash memory, erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, fiber optic media, radio Frequency (RF) links, and so forth. The code segments may be downloaded via computer networks such as the internet, intranet, etc.
It should also be noted that the exemplary embodiments mentioned in this application describe some methods or systems based on a series of steps or devices. However, the present application is not limited to the order of the above-described steps, that is, the steps may be performed in the order mentioned in the embodiments, may be performed in an order different from the order in the embodiments, or may be performed simultaneously.
Aspects of the present application are described above in terms of flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, enable the implementation of the functions/acts specified in the flowchart and/or block diagram block or blocks. Such a processor may be, but is not limited to, a general purpose processor, a special purpose processor, an application specific processor, or a field programmable logic circuit. It will also be understood that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware for performing the specified functions or acts, or combinations of special purpose hardware and computer instructions.
As described above, only the specific embodiments of the present application are provided, and it can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the system, the module and the unit described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again. It should be understood that the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive various equivalent modifications or substitutions within the technical scope of the present application, and these modifications or substitutions should be covered within the scope of the present application.
Claims (10)
1. A method for determining a coverage scenario of a base station is characterized by comprising the following steps:
obtaining interest point data of a plurality of interest points in a coverage area of a base station and minimization of drive test data of a plurality of user terminals, wherein the interest point data at least comprises position information of the interest points;
determining at least one sampling point position information corresponding to each user terminal based on the MDT data of each user terminal in the plurality of user terminals;
determining a weight value of each interest point in the plurality of interest points based on at least one sampling point position information corresponding to each user terminal and the position information of each interest point in the plurality of interest points;
and determining a coverage scene of the base station in a plurality of preset coverage scenes according to the weight value of each interest point in the plurality of interest points.
2. The method of claim 1, wherein obtaining the point of interest data of a plurality of points of interest within the coverage area of the base station comprises:
acquiring a preset electronic map;
and acquiring the interest point data of a plurality of interest points in the coverage area of the base station based on the preset electronic map.
3. The method of claim 2, wherein the point of interest data further comprises at least one of an outline, a total area, a floor spacing, a name, a building type, a commercial use of the point of interest.
4. The method according to claim 1, wherein the determining the weight value of each of the plurality of interest points based on the position information of the at least one sampling point corresponding to each of the user terminals and the position information of each of the plurality of interest points comprises:
determining the number of sampling points distributed in each interest point in the plurality of interest points based on at least one sampling point position information corresponding to each user terminal and the position information of each interest point in the plurality of interest points;
determining a weight value of each of the plurality of interest points based on the number of the distributed sampling points in each of the plurality of interest points and the total number of the sampling points in the coverage range.
5. The method of claim 4, wherein before determining the coverage scenario of the base station in a plurality of preset coverage scenarios according to the weight value of each of the plurality of interest points, the method further comprises:
and determining the weight value of the outdoor user based on the number of the sampling points distributed in the interest points and the total number of the sampling points in the coverage range.
Determining a coverage scenario of the base station in a plurality of preset coverage scenarios according to the weight value of each of the plurality of interest points, including:
and determining the coverage scene of the base station in a plurality of preset coverage scenes according to the weight value of the outdoor user and the weight value of each interest point in the plurality of interest points.
6. The method of claim 1, wherein determining the coverage scenario of the base station in a plurality of preset coverage scenarios according to the weight value of each of the plurality of interest points comprises:
determining the interest point with the largest weight value in the interest points as a first interest point;
determining a coverage scene of the base station in a plurality of preset coverage scenes based on the first interest point under the condition that the weight value of the first interest point is greater than a first preset threshold;
and under the condition that the weight value of the first interest point is smaller than a second preset threshold, determining that the coverage scene of the base station is a mixed scene, wherein the second preset threshold is smaller than the first preset threshold.
7. The method according to claim 6, wherein in a case that the weighted value of the first interest point is not greater than a first preset threshold and not less than a second preset threshold, the method further comprises:
determining the interest point with the second largest weight value in the interest points as a second interest point;
calculating a difference between the first interest point weight value and the second interest point weight value;
determining a coverage scenario of the base station in a plurality of preset coverage scenarios based on the first interest point if the difference is greater than a third preset threshold;
and under the condition that the difference value is not larger than a third preset threshold value, determining that the coverage scene of the base station is a mixed scene.
8. A base station coverage scenario determination apparatus, comprising:
the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring interest point data of a plurality of interest points in a coverage area of a base station and minimization of drive test data of a plurality of user terminals, and the interest point data at least comprises position information of the interest points;
the sampling point determining module is used for determining at least one sampling point position information corresponding to each user terminal based on the MDT data of each user terminal in the plurality of user terminals;
a weight determination module, configured to determine a weight value of each of the multiple interest points based on at least one sampling point location information corresponding to each of the user terminals and location information of each of the multiple interest points;
a scene determining module, configured to determine a coverage scene of the base station in a plurality of preset coverage scenes according to a weight value of each of the plurality of interest points.
9. An electronic device comprising a processor, a memory, and a program or instructions stored on the memory and executable on the processor, the program or instructions when executed by the processor implementing the steps of the base station coverage scenario determination method of any of claims 1-7.
10. A readable storage medium, on which a program or instructions are stored, which when executed by a processor, implement the steps of the base station coverage scenario determination method of any of claims 1-7.
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