CN109890041B - Cross-zone coverage assessment method and device based on terminal acquisition data - Google Patents
Cross-zone coverage assessment method and device based on terminal acquisition data Download PDFInfo
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Abstract
The embodiment of the invention discloses a cross-zone coverage evaluation method and device based on terminal acquisition data, relates to the technical field of communication, and is used for solving the problem that diversified scenes cannot be accurately evaluated in cross-zone coverage evaluation. The method comprises the following steps: acquiring sampling point data of a sampling point terminal and network engineering parameters of a base station of a service cell accessed by the sampling point terminal through a preset interface, and calculating a first geographical position distance between the sampling point terminal and the base station according to an acquisition result; determining peripheral base stations of the base station according to a preset distance threshold determined by a cell scene of a service cell, and calculating an average value of second geographic position distances between the base station and each peripheral base station of the base station; and finally, determining whether the sampling point terminal is a cross-area coverage point of the service cell according to a first ratio of the first geographical position distance to the average value. The embodiment of the invention is used for cross-zone coverage evaluation in multiple scenes.
Description
Technical Field
The embodiment of the invention relates to the technical field of communication, in particular to a cross-zone coverage evaluation method and device based on terminal acquisition data.
Background
In a wireless network, if a certain cell crosses the coverage area of one or more cells and has an overlapping coverage area with a cell farther away from the cell, it indicates that the cell is in a handover coverage, i.e. the cell has a handover coverage phenomenon. The phenomenon of handoff coverage can severely affect network performance, resulting in increased network interference, network handoff concerns, capacity problems due to excessive traffic absorption, and the like. In order to reduce the negative impact of the handover coverage phenomenon on the network performance, it is necessary to perform an accurate and effective evaluation on whether the handover coverage phenomenon exists in the cell, that is, to perform the handover coverage evaluation on the cell.
Currently, the methods for evaluating the cell coverage include terminal measurement report evaluation, manual drive test evaluation, and evaluation combining the terminal measurement report and the manual drive test. In practical situations, each of the above evaluation methods has a defect that the accuracy of an evaluation result is low; meanwhile, the evaluation modes are difficult to cover complex and various scenes (such as residential districts, campuses, tourist attractions and other scenes related to life), for example, the terminal measurement report evaluation does not relate to scenes, the artificial drive test evaluation mode only can cover road scenes and the like, and meanwhile, a large amount of manpower and material resources are consumed in the artificial drive test evaluation mode, so that the economy and the convenience are poor; in addition, in the prior art, whether the cell has a cross-area coverage phenomenon can be determined according to the network engineering parameters of the cell, but the network engineering parameters can only determine the distance between the cells, and the complex and various scenes cannot be accurately evaluated.
Disclosure of Invention
The embodiment of the invention provides a cross-zone coverage evaluation method and device based on terminal acquisition data, which are used for solving the technical problem that diversified scenes cannot be accurately evaluated in the cross-zone coverage evaluation in the prior art.
In a first aspect, an embodiment of the present invention provides a method for evaluating coverage of a handover area based on data collected by a terminal, including:
acquiring sampling point data of a sampling point terminal through a preset interface, wherein the sampling point data comprises: APP position data of the sampling point terminal and an identifier of a service cell accessed by the sampling point terminal;
acquiring network engineering parameters of a base station of a serving cell accessed by a sampling point terminal according to an identifier of the serving cell accessed by the sampling point terminal;
calculating a first geographical position distance between a sampling point terminal and a base station according to the APP position data and network engineering parameters of the base station of the service cell;
determining a cell scene of a service cell, and determining peripheral base stations of a base station according to the cell scene of the service cell;
calculating the average value of the second geographic position distance between the base station and each peripheral base station of the base stations;
judging whether a first ratio of the first geographical position distance to the average value is greater than a preset threshold value or not; and if so, determining the position of the sampling point terminal as a cross-area coverage point of the service cell.
By the cross-zone coverage evaluation method based on the terminal acquisition data, provided by the embodiment of the invention, the first geographical position distance between the sampling point terminal and the base station can be calculated according to the APP position data of the sampling point terminal and the network engineering parameters of the base station of the service cell, wherein the APP position data is derived from the positioning data of the sampling point terminal, compared with the positioning data of a measurement report and the positioning data of manual drive test, the APP position data has higher accuracy and can be acquired from a large number of sampling point terminals in a short time, and the covered scene is richer; on this basis, the embodiment of the invention determines the peripheral base stations of the base station by combining the cell scene of the service cell, and calculates the average value of the second geographic position distance between the base station and each peripheral base station of the base station; and finally, determining whether the sampling point terminal is a cross-area coverage point of the service cell according to a first ratio of the first geographical position distance and the average value and a preset threshold value. Therefore, the embodiment of the invention can quickly and accurately detect the serving cell with the cross-zone coverage phenomenon by combining the APP position data and the network engineering parameters, and simultaneously introduce richer scenes through the APP position data, thereby improving the accuracy of the evaluation result and further obtaining better economy, stronger applicability and convenience.
In a second aspect, an embodiment of the present invention provides a device for evaluating coverage of a handover based on data collected by a terminal, including: the acquisition module is used for acquiring sampling point data of the sampling point terminal through a preset interface, wherein the sampling point data comprises: APP position data of the sampling point terminal and an identifier of a service cell accessed by the sampling point terminal;
the acquisition module is used for acquiring network engineering parameters of a base station of a serving cell accessed by the sampling point terminal according to the identification of the serving cell accessed by the sampling point terminal acquired by the acquisition module;
the calculation module is used for calculating a first geographical position distance between the sampling point terminal and the base station according to the APP position data acquired by the acquisition module and the network engineering parameters of the base station of the service cell acquired by the acquisition module;
the processing module is used for determining a cell scene of a service cell and determining peripheral base stations of the base station according to the cell scene of the service cell;
the computing module is also used for computing the average value of the second geographic position distance between the base station and each peripheral base station of the base station according to the peripheral base stations of the base station determined by the processing module;
the judging module is used for judging whether a first ratio of the first geographical position distance acquired by the calculating module to the average value acquired by the calculating module is greater than a preset threshold value or not;
and the determining module is used for determining the position of the sampling point terminal as a cross-area coverage point of the service cell if the judgment result of the judging module is positive.
In a third aspect, a device for evaluating coverage of a handover area based on data collected by a terminal is provided, which includes: one or more processors; the processor is configured to execute a computer program code in the memory, and the computer program code includes instructions to enable the device for evaluating the coverage area based on the data collected by the terminal to execute the method for evaluating the coverage area based on the data collected by the terminal according to the first aspect.
In a fourth aspect, a storage medium is provided, wherein the storage medium stores instruction codes for executing the method for evaluating a coverage area based on terminal collected data according to the first aspect.
In a fifth aspect, a computer program product is provided, wherein the computer program product comprises instruction codes for executing the method for evaluating a handover coverage based on data collected by a terminal according to the first aspect.
It can be understood that, the above-mentioned device, storage medium and computer product for evaluating the handover coverage based on the data collected by the terminal are used to execute the method according to the first aspect, and therefore, the beneficial effects achieved by the device and the method according to the first aspect and the corresponding solutions in the following embodiments are referred to and will not be described herein again.
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The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. 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 invention.
Fig. 1a is a flowchart of a method for evaluating coverage based on terminal data collected according to an embodiment of the present invention;
fig. 1b is a flowchart of another method for evaluating coverage based on terminal collected data according to an embodiment of the present invention;
fig. 2 is a schematic diagram illustrating a relationship between a base station, base stations around the base station, and a preset distance in a handover coverage evaluation method based on terminal data according to an embodiment of the present invention;
fig. 3 is a schematic diagram of a second geographic location distance in a handover coverage assessment method based on terminal collected data according to an embodiment of the present invention;
fig. 4 is a functional block diagram of a device for evaluating coverage of a handover area based on data collected by a terminal according to an embodiment of the present invention;
fig. 5 is a functional block diagram of a device for evaluating coverage based on terminal collected data according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of 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 use of the terms first, second, etc. do not denote any order, and the terms first, second, etc. may be interpreted as names of the objects described. In the embodiments of the present application, words such as "exemplary" or "for example" are used to mean serving as an example, instance, or illustration. Any embodiment or design described herein as "exemplary" or "e.g.," is not necessarily to be construed as preferred or advantageous over other embodiments or designs. Rather, use of the word "exemplary" or "such as" is intended to present concepts related in a concrete fashion.
Before describing the embodiments of the present invention, a brief description of the present handover coverage evaluation method is first provided. Currently, the methods for evaluating the cell coverage include terminal measurement report evaluation, manual drive test evaluation, and evaluation combining the terminal measurement report and the manual drive test. The method comprises the steps that a terminal measurement report is adopted for evaluating whether a handover coverage phenomenon exists in a cell or not based on a measurement report obtained by a terminal and reported from a network side, and the terminal position is estimated by the measurement report reported by the terminal only by using positioning data of an operator base station, and the positioning data has low precision in actual conditions and can only be generally accurate to a range of hundreds of meters, so that the precision of an evaluation result evaluated by the terminal measurement report is low; in the actual situation, the sampling points are more limited during arrangement, and sampling data collected by the sampling points are limited, so that the evaluation result of the manual drive test evaluation also has the problem of low precision, and meanwhile, a large amount of manpower and material resources are consumed for manually arranging the sampling points, so that the economy and convenience are poor; in the combined evaluation mode of the terminal measurement report and the manual drive test, the sampling data of sampling points distributed in the manual drive test can be further introduced on the basis of the obtained measurement report reported by the terminal, but the mode still does not overcome the defects of large error of evaluation results in terminal measurement report evaluation and manual drive test evaluation. In addition, in the prior art, whether a coverage phenomenon exists in a cell can be determined according to network engineering parameters of the cell. However, the network engineering parameters can only determine the distance between cells, and cannot accurately evaluate complex and diverse scenes.
Based on the existing problems, an embodiment of the present invention provides a handover coverage assessment method based on terminal collected data, as shown in fig. 1a, the method includes:
step S110: acquiring sampling point data of a sampling point terminal through a preset interface, wherein the sampling point data comprises: APP (Application) location data of the sampling point terminal, and an identification of a serving cell to which the sampling point terminal is accessed.
Specifically, the sampling point terminal can obtain a user terminal of APP location data, such as a mobile terminal like a mobile phone and a tablet computer, a vehicle-mounted terminal, and a network television. The APP location data of the sampling point terminal may be location data of the sampling point terminal, such as location data of the sampling point terminal GPS (Global Positioning System). In a specific implementation, the APP location data may include: the longitude of the location of the sampling point terminal and the latitude of the location of the sampling point terminal. The sampling point data may further include an identifier of the sampling point terminal, where the identifier of the sampling point terminal may be Identification information capable of uniquely identifying the sampling point terminal, such as an IMSI (International Mobile Subscriber Identity Number) of a user, and the identifier of a serving Cell to which the sampling point terminal is accessed may be Identification information capable of uniquely identifying the serving Cell, such as an LAC (location area code), a CI (Cell Identity, and the like of the serving Cell. The preset interface can be an interface of a preset platform, and in specific implementation, sampling point data of the sampling point terminal are acquired from the preset platform through the preset interface.
Step S120: and acquiring the network engineering parameters of the base station of the service cell accessed by the sampling point terminal according to the identification of the service cell accessed by the sampling point terminal.
Specifically, the network engineering parameters may include: the longitude of the base station of the serving cell, the latitude of the base station of the serving cell, and the identity of the serving cell. In specific implementation, the identifier of the serving cell of the network engineering parameter is used for matching with the identifier of the serving cell in the sampling point data, so as to ensure the consistency between the serving cell in the network engineering parameter and the serving cell in the sampling point data.
Step S130: and calculating a first geographical position distance between the sampling point terminal and the base station according to the APP position data and the network engineering parameters of the base station of the service cell.
Specifically, the spherical distance between the sampling point terminal and the base station is calculated according to the longitude of the position of the sampling point terminal in the APP position data, the latitude of the position of the sampling point terminal, the longitude of the base station of the serving cell, and the latitude of the base station of the serving cell, and the spherical distance is used as the first geographic position distance. In a specific implementation, the first geographical location distance may be calculated by using the following formula:
wherein D isiIs the first geographical location distance between the sampling point terminal i and the base station, R is the radius of the earth (R may be 6371km in the specific implementation), LoniIs the longitude, Lat, of the location of the sampling point terminal iiIs latitude, Lon, of the location of the sampling point terminal ii-sIs the longitude, Lat, of the base station serving the celli-sIs the latitude of the base station serving the cell.
Step S140: and determining the cell scene of the service cell, and determining the peripheral base stations of the base station according to the cell scene of the service cell.
Specifically, there may be multiple ways of determining the cell scenario of the serving cell, for example, a corresponding relationship between the cell scenario and the identifier of the serving cell may be preset, and then the cell scenario corresponding to the identifier of the serving cell is determined according to the step of the corresponding relationship and the identifier of the serving cell determined in step S110; or, a user density range corresponding to each cell scene may be preset, then the user density of the serving cell is obtained, and when the user density of the serving cell falls within a certain user density range, the cell scene corresponding to the user density range is determined to be the cell scene of the serving cell, and so on. The embodiment of the invention does not limit the determining mode of the cell scene of the service cell.
When determining the peripheral base stations of the base station according to the cell scene of the serving cell, the preset distance corresponding to the cell scene of the serving cell may be determined according to the cell scene of the serving cell, in a specific implementation, each cell scene has a preset distance corresponding to the cell scene, and the preset distance may be set by a person skilled in the art according to an actual situation, which is not limited by the comparison of the present invention. And then all base stations in an area with a preset distance from the base station are taken as peripheral base stations of the base station. Specifically, the relationship between the base station, the base stations around the base station, and the preset distance may be shown in fig. 2, where in fig. 2, L is the preset distance, and an area formed by taking the base station as a center of a circle and taking L as a radius is an area away from the base station by the preset distance.
In the embodiment of the present invention, the cell scenario of the serving cell may include any one of the following: a core urban scene, a suburban scene, and a rural open scene. In this step, if the cell scene of the serving cell is a core urban scene, determining that the preset distance corresponding to the core urban scene is the preset distance of the core urban scene, and using all base stations in an area which is away from the preset distance of the core urban scene of the base station as peripheral base stations of the base station (namely, L is the preset distance of the core urban scene); similarly, if the cell scene of the serving cell is a suburban scene, determining that the preset distance corresponding to the suburban scene is the suburban scene preset distance, and taking all base stations in the area away from the base station suburban scene by the preset distance as the peripheral base stations of the base stations (namely, L is the suburban scene preset distance); if the cell scene of the service cell is a rural wide scene, determining that the preset distance corresponding to the urban suburban scene is the rural wide scene preset distance, and taking all base stations in the area with the preset distance from the rural wide scene of the base station as the peripheral base stations of the base station (namely, L is the rural wide scene preset distance). In specific implementation, the preset distance of a core urban scene is preferably 500 m; the preset distance of the suburban scene is preferably 1000 m; the preset distance of the rural open scene is preferably 2000 m.
It is to be understood that the above lists only preferred values of the core urban scene preset distance, the suburban scene preset distance and the rural area open scene preset distance, and in particular implementations, the values of the core urban scene preset distance, the suburban scene preset distance and the rural area open scene preset distance include, but are not limited to, the above preferred values. The above listed cell scenarios of the serving cell are merely exemplary, and in particular implementations, the cell scenarios of the serving cell include, but are not limited to, the above listed cell scenarios.
Step S150: and calculating the average value of the second geographic position distances between the base station and each peripheral base station of the base stations.
Specifically, a second geographic location distance (i.e., a straight line distance) between the base station and each of the surrounding base stations of the base station is calculated, and then an average value of all the second geographic location distances is obtained. In a specific implementation, the average value may be calculated by the following formula:
wherein G isjA second geographical location distance between the base station of the serving cell accessed by the sampling point terminal i and the peripheral base stations of the base station (see fig. 3, where only one peripheral base station is shown in fig. 3), Num is the total number of the peripheral base stations of the base station; kiAnd the average value of the second geographic position distances between the base station accessed by the sampling point terminal i and each peripheral base station of the base station.
Step S160: judging whether a first ratio of the first geographical position distance to the average value is greater than a preset threshold value, if so, executing the step S170; if the judgment result is negative, the flow of the method is ended.
Specifically, the first ratio may be calculated using the following formula:
wherein N isiIs DiAnd KiFirst ratio of (D)iIs a first geographical location distance, K, between a sampling point terminal i and a base stationiThe above average values are given.
The preset threshold may be set by a person skilled in the art according to actual situations, and the present invention is not limited thereto.In the implementation, in the case of non-handover coverage, the distance D from the sampling point terminal i to the base station of its serving cell is measurediShould be at least less than the average distance K from the base station of the serving cell to the surrounding base stations of the base stationi2 times of, i.e. Ni2 (otherwise, the service of the terminal i at the sampling point is switched to the adjacent cell approximately, and the information of the serving cell is updated). Therefore, it may be preferable to calculate the preset threshold value to be 3, that is, NiWhen the distance between the sampling point terminal i and the base station of the serving cell is more than or equal to 3, the sampling point terminal i can be judged as a cross-area coverage point if the distance between the sampling point terminal i and the base station of the serving cell is far (far more than the geographical range to be served by the base station of the serving cell).
And step S170, determining the position of the terminal of the sampling point as a handover coverage point of the service cell.
Specifically, the location of the sampling point terminal is the location determined by the APP location data of the sampling point terminal.
By the cross-zone coverage evaluation method based on the terminal acquisition data, provided by the embodiment of the invention, the first geographical position distance between the sampling point terminal and the base station can be calculated according to the APP position data of the sampling point terminal and the network engineering parameters of the base station of the service cell, wherein the APP position data is derived from the positioning data of the sampling point terminal, compared with the positioning data of a measurement report and the positioning data of manual drive test, the APP position data has higher accuracy and can be acquired from a large number of sampling point terminals in a short time, and the covered scene is richer; on this basis, the embodiment of the invention determines the peripheral base stations of the base station by combining the cell scene of the service cell, and calculates the average value of the second geographic position distance between the base station and each peripheral base station of the base station; and finally, determining whether the sampling point terminal is a cross-area coverage point of the service cell according to a first ratio of the first geographical position distance and the average value and a preset threshold value. Therefore, the embodiment of the invention can quickly and accurately detect the serving cell with the cross-zone coverage phenomenon by combining the APP position data and the network engineering parameters, and simultaneously introduce richer scenes through the APP position data, thereby improving the accuracy of the evaluation result and further obtaining better economy, stronger applicability and convenience.
Optionally, after step S170 is executed, referring to fig. 1b, the embodiment of the present invention may further execute the following steps:
and S180, counting the total number of the first sampling points of all the sampling point terminals of the service cell and the total number of the second sampling points of the cross-over coverage sampling points in all the sampling point terminals.
Specifically, the total number of the first sampling points is specifically the total number of all sampling point terminals, and in specific implementation, when there is an invalid sampling point terminal in all sampling point terminals, the total number of the first sampling points may be specifically the total number of valid sampling point terminals in all sampling point terminals. When the sampling point data of the sampling point terminal is unavailable, the sampling point terminal is regarded as an invalid sampling point terminal; and conversely, when the sampling point data of the sampling point terminal is available, the sampling point terminal is regarded as an effective sampling point terminal.
The second total number of sampling points is the total number of terminals which are judged as the cross-area coverage sampling points in all the sampling point terminals.
And S190, acquiring a second ratio of the total number of the second sampling points to the total number of the first sampling points, and outputting the second ratio.
In specific implementation, a second ratio of the total number of the second sampling points to the total number of the first sampling points is obtained and output, so that relevant personnel can conveniently carry out work such as engineering investigation, data analysis and the like according to the second ratio. For example, when the second ratio is higher (for example, when the second ratio exceeds a predetermined ratio threshold), the list of the serving cells with the higher second ratio may be output to a relevant department such as operation and maintenance or network optimization for engineering investigation.
The embodiment of the present invention further provides a device for evaluating coverage of a handover area based on data collected by a terminal, as shown in fig. 4, including:
the acquisition module 41 is configured to acquire sampling point data of the sampling point terminal through a preset interface, where the sampling point data includes: APP position data of the sampling point terminal and identification of a service cell accessed by the sampling point terminal.
And an obtaining module 42, configured to obtain, according to the identifier of the serving cell to which the sampling point terminal is accessed, the network engineering parameter of the base station of the serving cell to which the sampling point terminal is accessed, where the sampling point terminal is accessed, and the identifier is collected by the collecting module 41.
And a calculating module 43, configured to calculate a first geographical location distance between the sampling point terminal and the base station according to the APP location data acquired by the acquiring module 41 and the network engineering parameter of the base station of the serving cell acquired by the acquiring module.
And the processing module 44 is configured to determine a cell scenario of the serving cell, and determine peripheral base stations of the base station according to the cell scenario of the serving cell.
The calculating module 43 is further configured to calculate an average value of the second geographic location distances between the base station and each peripheral base station of the base stations according to the peripheral base stations of the base station determined by the processing module 44.
And the judging module 45 is configured to judge whether a first ratio of the first geographic location distance obtained by the calculating module 43 to the average value obtained by the calculating module is greater than a preset threshold.
And a determining module 46, configured to determine the sampling point terminal as a handover coverage point of the serving cell if the determination result of the determining module 45 is yes.
Optionally, the apparatus for evaluating coverage based on terminal collected data may further include: the statistical processing module 47 is configured to count the total number of first sampling points of all sampling point terminals of the serving cell and the total number of second sampling points of cross-over coverage sampling points of all sampling point terminals; and acquiring a second ratio of the total number of the second sampling points to the total number of the first sampling points, and outputting the second ratio.
All relevant contents of the steps related to the above method embodiments may be referred to the functional description of the corresponding functional module, and the functions thereof are not described herein again.
In the case of an integrated module, the device for evaluating the coverage of a cell based on data collected by a terminal comprises: the device comprises a storage unit, a processing unit and an interface unit. The processing unit is used for controlling and managing the operation of the handover coverage evaluation device based on the data collected by the terminal, for example, the processing unit is used for supporting the handover coverage evaluation device based on the data collected by the terminal to execute the steps in fig. 1a and fig. 1 b. The interface unit is used for interacting the cross-zone coverage evaluation device with other devices based on the data collected by the terminal; and the storage unit is used for storing the codes and the data of the cross-zone coverage evaluation device based on the data collected by the terminal.
For example, the processing unit is a processor, the storage unit is a memory, and the interface unit is a communication interface. The device for evaluating the handover coverage based on the data collected by the terminal is shown in fig. 5 and includes a communication interface 501, a processor 502, a memory 503 and a bus 504, wherein the communication interface 501 and the processor 502 are connected to the memory 503 through the bus 504.
The processor 502 may be a general-purpose Central Processing Unit (CPU), a microprocessor, an Application-Specific Integrated Circuit (ASIC), or one or more Integrated circuits configured to control the execution of programs in accordance with the teachings of the present disclosure.
The Memory 503 may be a Read-Only Memory (ROM) or other type of static storage device that can store static information and instructions, a Random Access Memory (RAM) or other type of dynamic storage device that can store information and instructions, an Electrically Erasable Programmable Read-Only Memory (EEPROM), a Compact Disc Read-Only Memory (CD-ROM) or other optical Disc storage, optical Disc storage (including Compact Disc, laser Disc, optical Disc, digital versatile Disc, blu-ray Disc, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer, but is not limited to these. The memory may be self-contained and coupled to the processor via a bus. The memory may also be integral to the processor.
The memory 503 is used for storing application program codes for executing the scheme of the application, and the processor 502 controls the execution. The communication interface 501 is used to support interaction between the handover coverage assessment apparatus and other apparatuses based on data collected by the terminal. The processor 502 is configured to execute application program code stored in the memory 503 to implement the methods of embodiments of the present invention.
The steps of a method or algorithm described in connection with the disclosure herein may be embodied in hardware or in software instructions executed by a processor. Embodiments of the present invention also provide a storage medium, which may include a memory for storing computer software instructions for a terminal-collected data-based handover coverage assessment apparatus, including program code configured to perform a terminal-collected data-based handover coverage assessment method. Specifically, the software instructions may be composed of corresponding software modules, and the software modules may be stored in a Random Access Memory (RAM), a flash Memory, a Read Only Memory (ROM), an Erasable Programmable Read Only Memory (EPROM), an Electrically Erasable Programmable Read Only Memory (EEPROM), a register, a hard disk, a removable hard disk, a compact disc Read Only Memory (CD-ROM), or any other form of storage medium known in the art. An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. Of course, the storage medium may also be integral to the processor.
The embodiment of the invention also provides a computer program, which can be directly loaded into the memory and contains software codes, and the computer program can realize the above-mentioned cross-area coverage evaluation method based on the terminal acquisition data after being loaded and executed by the computer.
Those skilled in the art will recognize that, in one or more of the examples described above, the functions described in this invention may be implemented in hardware, software, firmware, or any combination thereof. When implemented in software, the functions may be stored on or transmitted over as one or more instructions or code on a computer-readable medium. Computer-readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a general purpose or special purpose computer.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. A cross-zone coverage evaluation method based on terminal acquisition data is characterized by comprising the following steps:
acquiring sampling point data of a sampling point terminal through a preset interface, wherein the sampling point data comprises: the application APP position data of the sampling point terminal and the identification of the service cell accessed by the sampling point terminal;
acquiring network engineering parameters of a base station of a serving cell accessed by the sampling point terminal according to the identification of the serving cell accessed by the sampling point terminal;
calculating a first geographical position distance between the sampling point terminal and the base station according to the APP position data and the network engineering parameters of the base station of the service cell;
determining a cell scene of the service cell, and determining peripheral base stations of the base station according to the cell scene of the service cell;
calculating an average value of second geographic position distances between the base station and each peripheral base station of the base stations;
judging whether a first ratio of the first geographical position distance to the average value is greater than a preset threshold value or not; and if so, determining the position of the sampling point terminal as a cross-area coverage point of the service cell.
2. The method of claim 1, wherein the cell scenario comprises any of: a core urban scene, a suburban scene, and a rural open scene.
3. The method as claimed in claim 1 or 2, wherein after determining that the sampling point is located at the handover coverage point of the serving cell, the method further comprises:
counting the total number of first sampling points of all sampling point terminals of the service cell and the total number of second sampling points of cross-area coverage sampling points in all sampling point terminals;
and acquiring a second ratio of the total number of the second sampling points to the total number of the first sampling points, and outputting the second ratio.
4. The method of claim 1, wherein the predetermined threshold is 3.
5. A device for evaluating the coverage of a cross-region based on data collected by a terminal is characterized by comprising:
the acquisition module is used for acquiring sampling point data of a sampling point terminal through a preset interface, wherein the sampling point data comprises: APP position data of the sampling point terminal and an identifier of a service cell accessed by the sampling point terminal;
the acquisition module is used for acquiring network engineering parameters of a base station of a serving cell accessed by the sampling point terminal according to the identification of the serving cell accessed by the sampling point terminal acquired by the acquisition module;
the calculation module is used for calculating a first geographical position distance between the sampling point terminal and the base station according to the APP position data acquired by the acquisition module and the network engineering parameters of the base station of the service cell acquired by the acquisition module;
the processing module is used for determining the cell scene of the service cell and determining the peripheral base stations of the base station according to the cell scene of the service cell;
the calculation module is further configured to calculate an average value of second geographic position distances between the base station and each peripheral base station of the base stations according to the peripheral base stations of the base station determined by the processing module;
the judging module is used for judging whether a first ratio of the first geographical position distance acquired by the calculating module to the average value acquired by the calculating module is greater than a preset threshold value or not;
and the determining module is used for determining that the position of the sampling point terminal is the cross-area coverage point of the service cell if the judgment result of the judging module is positive.
6. The apparatus of claim 5, wherein the cell scenario comprises any one of the following: a core urban scene, a suburban scene, and a rural open scene.
7. The apparatus for evaluating handoff coverage based on the collected data of the terminal according to claim 5 or 6, wherein said apparatus further comprises: the statistical processing module is used for counting the total number of first sampling points of all sampling point terminals of the service cell and the total number of second sampling points of cross-area coverage sampling points in all sampling point terminals; and acquiring a second ratio of the total number of the second sampling points to the total number of the first sampling points, and outputting the second ratio.
8. The apparatus of claim 5, wherein the predetermined threshold is 3.
9. A device for evaluating the coverage of a cross-region based on data collected by a terminal is characterized by comprising: one or more processors; the processor is configured to execute a computer program code in the memory, the computer program code comprising instructions to cause the terminal-collected-data-based handover coverage assessment apparatus to perform the terminal-collected-data-based handover coverage assessment method according to any one of claims 1 to 4.
10. A storage medium storing instruction codes for performing the method for evaluating the coverage of a handover based on data collected by a terminal according to any one of claims 1 to 4.
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| CN110430596B (en) * | 2019-08-06 | 2022-10-04 | 中国联合网络通信集团有限公司 | Quality evaluation method and device for wireless signal coverage area and readable storage medium |
| CN112559581A (en) * | 2020-01-02 | 2021-03-26 | 北京融信数联科技有限公司 | City occupation balance demographic method based on mobile communication big data |
| CN111465073B (en) * | 2020-04-07 | 2022-04-12 | 中国联合网络通信集团有限公司 | Cell-based processing method, device, equipment and storage medium |
| CN111652505A (en) * | 2020-06-02 | 2020-09-11 | 中国联合网络通信集团有限公司 | Method, device and equipment for evaluating base station deployment rationality |
| CN113965870A (en) * | 2020-07-01 | 2022-01-21 | 中国电信股份有限公司 | Method and device for identifying cell cross-area coverage based on network positioning |
| CN111818537B (en) * | 2020-07-02 | 2023-03-24 | 中国联合网络通信集团有限公司 | Method, device and equipment for determining cell coverage condition and storage medium |
| CN111836298B (en) * | 2020-07-10 | 2023-02-28 | 中国联合网络通信集团有限公司 | Low-rate cell detection method and server |
| CN112911506B (en) * | 2021-01-29 | 2023-04-14 | 上海闻泰信息技术有限公司 | Network switching method and device, computer equipment and readable storage medium |
| CN115334517B (en) * | 2021-05-10 | 2023-09-19 | 中国移动通信集团四川有限公司 | Coverage optimization method and device of communication network and electronic equipment |
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