CN116709184A - Region determination method, device, server and storage medium - Google Patents

Region determination method, device, server and storage medium Download PDF

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Publication number
CN116709184A
CN116709184A CN202310519694.9A CN202310519694A CN116709184A CN 116709184 A CN116709184 A CN 116709184A CN 202310519694 A CN202310519694 A CN 202310519694A CN 116709184 A CN116709184 A CN 116709184A
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China
Prior art keywords
base station
base stations
determining
service
base
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CN202310519694.9A
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Chinese (zh)
Inventor
吴争光
杨振辉
石钰
彭家立
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China United Network Communications Group Co Ltd
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China United Network Communications Group Co Ltd
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Priority to CN202310519694.9A priority Critical patent/CN116709184A/en
Publication of CN116709184A publication Critical patent/CN116709184A/en
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02—Services making use of location information
    • H04W4/021—Services related to particular areas, e.g. point of interest [POI] services, venue services or geofences
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/06—Management of faults, events, alarms or notifications
    • H04L41/0677—Localisation of faults
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L9/00—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols
    • H04L9/50—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols using hash chains, e.g. blockchains or hash trees
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/08—Testing, supervising or monitoring using real traffic
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W88/00—Devices specially adapted for wireless communication networks, e.g. terminals, base stations or access point devices
    • H04W88/08—Access point devices
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00—Reducing energy consumption in communication networks
    • Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks

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

Abstract

The application provides a region determining method, a device, a server and a storage medium, relates to the technical field of communication, and solves the technical problem that related data of a base station may be artificially tampered in the transmission and use processes in the related technology, and important regions may not be accurately determined based on the related data. The method comprises the following steps: acquiring base station data of a plurality of base stations within a preset duration; determining M base stations from the plurality of base stations; according to the network data of the first service respectively carried out by the M base stations, the network data of the second service respectively carried out by the M base stations and the complaint times of the M base stations respectively within the preset duration, determining the network quality values of the M base stations respectively; n base stations are determined from the M base stations, the network quality value of the N base stations is larger than or equal to a value threshold, and N is an integer larger than or equal to 1; and determining a key area based on the N base stations.

Description

Region determination method, device, server and storage medium
Technical Field
The present application relates to the field of communications technologies, and in particular, to a method, an apparatus, a server, and a storage medium for determining a region.
Background
Currently, a network management system may acquire relevant data of a base station (e.g., a data transmission rate of the base station), and determine whether the base station has a failure based on the relevant data. In the case that the base station has no fault, the network management system may determine the coverage area of the base station as a key area.
However, in the above method, the relevant data of the base station may be tampered manually during the transmission and use process, so that the key area may not be accurately determined.
Disclosure of Invention
The application provides a region determining method, a device, a server and a storage medium, which solve the technical problem that related data of a base station can be artificially tampered in the transmission and use processes in the related technology, and key regions can not be accurately determined based on the related data.
In a first aspect, the present application provides a region determining method, including: acquiring base station data of a plurality of base stations in a preset time length, wherein the base station data of one base station in the preset time length comprises one or more of network data of the base station and historical data of the base station, the network data of the base station comprises network data of the base station for performing a first service and network data of the base station for performing a second service, the network data of the base station for performing the first service comprises one or more of physical resource block (physical resource block, PRB) utilization rate of the base station, radio resource control (radio resource control, RRC) connection number of the base station and data transmission rate of the base station, the network data of the base station for performing the second service comprises one or more of time delay of the base station, bandwidth of the base station and packet loss rate of the base station, and the historical data of the base station comprises complaint times of the base station in the preset time length, resident user number of the base station and total resource allocation size corresponding to resident users of the base station; determining M base stations from the plurality of base stations, wherein the average resource allocation size corresponding to each of the M base stations is greater than or equal to a resource allocation threshold, the average resource allocation size corresponding to one base station is determined based on the number of resident users of the base station and the total resource allocation size corresponding to the resident users of the base station, and M is an integer greater than or equal to 1; according to the network data of the first service respectively carried out by the M base stations, the network data of the second service respectively carried out by the M base stations and the complaint times of the M base stations respectively within the preset duration, determining the network quality values of the M base stations respectively; n base stations are determined from the M base stations, the network quality value of the N base stations is larger than or equal to a value threshold, and N is an integer larger than or equal to 1; and determining a key area based on the N base stations.
Optionally, the network data of one base station further includes location information of the base station, and the determining, based on the N base stations, the key area specifically includes: determining a distance between each base station of the N base stations and other base stations based on the position information of each base station of the N base stations, wherein the other base stations are base stations except for each base station of the N base stations; dividing the N base stations into at least one cluster based on the distance between each base station of the N base stations and the other base stations; and determining the area where the resident user of the base station included in each class cluster in the at least one class cluster is located as a key area, wherein one class cluster corresponds to one key area.
In the present application, the server may determine, based on the location information of each of the N base stations, a distance between each of the N base stations and other base stations (i.e., base stations other than each of the N base stations); and the N base stations are divided into at least one cluster based on the distance between each base station and the other base stations (e.g., base stations closer in distance may be divided into the same cluster). Then, the server may determine, as the key area, an area where the resident user of the base station included in each of the at least one class cluster is located. N base stations can be divided based on specific conditions (namely distances), so that the dividing efficiency of the base stations is improved, and the server can be ensured to rapidly determine key areas.
Optionally, the determining the network quality value of each of the M base stations according to the network data of the first service performed by each of the M base stations, the network data of the second service performed by each of the M base stations, and the number of complaints of each of the M base stations in the preset duration specifically includes: determining a quality value of the first service performed by the first base station according to the network data of the first service performed by the first base station, and determining a quality value of the second service performed by the first base station according to the network data of the second service performed by the first base station, wherein the first base station is one of the M base stations; respectively distributing a first weight parameter, a second weight parameter and a third weight parameter for the quality value of the first service performed by the first base station, the quality value of the second service performed by the first base station and the complaint times of the first base station in the preset time period; and determining the network quality value of the first base station according to the quality value of the first service performed by the first base station, the quality value of the second service performed by the first base station, the complaint times of the first base station in the preset time period, the first weight parameter, the second weight parameter and the third weight parameter.
In the application, the server can determine the quality data which can accurately and effectively represent the network quality when the first base station performs the first service according to the network data of the first service; and the quality data which can accurately and effectively represent the network quality when the first base station performs the second service can be determined according to the network data of the second service performed by the first base station. In addition, the complaint condition of the first base station in the preset time period can be represented by the complaint times of the first base station in the preset time period. In this way, the server can comprehensively judge the network quality of the first base station based on the network quality of the first base station when the first base station performs the first service, the network quality of the first base station when the first base station performs the second service and the complaint condition of the first base station within the preset time length, so that the network quality value with higher accuracy can be determined
Optionally, the network data of the first base station performing the first service includes a PRB utilization of the first base station, and determining, according to the network data of the first base station performing the first service, a quality value of the first base station performing the first service specifically includes: determining whether the PRB utilization of the first base station is less than or equal to a PRB utilization threshold; determining a first value as a quality value of the first service performed by the first base station under the condition that the PRB utilization rate of the first base station is smaller than or equal to the PRB utilization rate threshold value; and under the condition that the PRB utilization rate of the first base station is larger than the PRB utilization rate threshold value, determining a second value as a quality value of the first service carried out by the first base station, wherein the second value is smaller than the first value.
In the present application, for a certain base station (for example, a first base station), an electronic device may determine a quality value of a first service performed by the first base station based on a PRB utilization of the first base station. Specifically, a first value with a larger value is determined as a quality value of the first service performed by the first base station when the PBR utilization rate of the first base station is smaller, or a second value with a smaller value is determined as a quality value of the first service performed by the first base station when the PRB utilization rate of the first base station is larger. The quality value of the first service performed by the first base station can be conveniently and rapidly determined, and the quality value can accurately and effectively represent the network quality of the first base station when the first service is performed, so that the determination efficiency of the network quality value of the first base station can be improved
Optionally, the key region includes a first region and a second region, and the region determining method further includes: determining a first number of base stations whose corresponding average resource allocation size in the first region is greater than or equal to the resource allocation threshold and whose network quality value is greater than or equal to the value threshold, and a second number of base stations whose corresponding average resource allocation size in the second region is greater than or equal to the resource allocation threshold and whose network quality value is greater than or equal to the value threshold; in case the first number is greater than the second number, a first priority is assigned to the first area and a second priority is assigned to the second area, the first priority being higher than the second priority.
In the present application, in the case where the first number is greater than the second number, it is explained that the number of base stations having a higher resource allocation level and having a better network quality included in the first area is greater than the number of base stations having a higher resource allocation level and having a better network quality included in the second area, at this time, the server may assign a higher priority (i.e., a first priority) to the first area and a lower priority (i.e., a second priority) to the second area. The method and the device can allocate higher priority to the areas with higher communication level, reasonably maintain the priority order of different areas, and further improve the effectiveness of package recommendation.
In a second aspect, the present application provides a region determining apparatus comprising: an acquisition module and a determination module; the acquiring module is configured to acquire base station data of a plurality of base stations within a preset duration, where the base station data of one base station within the preset duration includes network data of the base station and historical data of the base station, the network data of the base station includes network data of the base station for performing a first service and network data of the base station for performing a second service, the network data of the base station for performing the first service includes one or more of a PRB utilization rate of the base station, an RRC connection number of the base station, and a data transmission rate of the base station, the network data of the base station for performing the second service includes one or more of a delay of the base station, a bandwidth of the base station, and a packet loss rate of the base station, and the historical data of the base station includes a number of complaints of the base station within the preset duration, a number of resident users of the base station, and a total resource allocation size corresponding to the resident users of the base station; the determining module is configured to determine M base stations from the plurality of base stations, where an average resource allocation size corresponding to each of the M base stations is greater than or equal to a resource allocation threshold, where an average resource allocation size corresponding to one base station is determined based on a number of resident users of the base station and a total resource allocation size corresponding to resident users of the base station, and M is an integer greater than or equal to 1; the determining module is further configured to determine respective network quality values of the M base stations according to the network data of the first service performed by the M base stations, the network data of the second service performed by the M base stations, and the number of complaints performed by the M base stations within the preset duration; the determining module is further configured to determine N base stations from the M base stations, where a network quality value of the N base stations is greater than or equal to a value threshold, and N is an integer greater than or equal to 1; the determining module is further configured to determine an important area based on the N base stations.
Optionally, the network data of a base station further includes location information of the base station, and the area determining device further includes a processing module; the determining module is specifically configured to determine a distance between each of the N base stations and other base stations based on the location information of each of the N base stations, where the other base stations are base stations of the N base stations except for each of the base stations; the processing module is used for dividing the N base stations into at least one cluster based on the distance between each base station in the N base stations and the other base stations; the determining module is further specifically configured to determine, as a key area, an area where a resident user of the base station included in each of the at least one class cluster is located, where one class cluster corresponds to one key area.
Optionally, the determining module is specifically configured to determine, according to network data of the first base station performing the first service, a quality value of the first base station performing the first service, and determine, according to network data of the first base station performing the second service, a quality value of the first base station performing the second service, where the first base station is one of the M base stations; the processing module is configured to allocate a first weight parameter, a second weight parameter, and a third weight parameter to the quality value of the first service performed by the first base station, the quality value of the second service performed by the first base station, and the number of complaints of the first base station within the preset duration, respectively; the determining module is further specifically configured to determine a network quality value of the first base station according to the quality value of the first service performed by the first base station, the quality value of the second service performed by the first base station, the number of complaints performed by the first base station within the preset duration, the first weight parameter, the second weight parameter, and the third weight parameter.
Optionally, the network data of the first base station for the first service includes PRB utilization of the first base station; the determining module is further specifically configured to determine whether a PRB utilization of the first base station is less than or equal to a PRB utilization threshold; the determining module is further specifically configured to determine, when the PRB utilization of the first base station is less than or equal to the PRB utilization threshold, a first value as a quality value of the first service performed by the first base station; the determining module is further specifically configured to determine a second value as a quality value of the first service performed by the first base station when the PRB utilization of the first base station is greater than the PRB utilization threshold, where the second value is smaller than the first value.
Optionally, the key region includes a first region and a second region; the determining module is further configured to determine a first number of base stations whose average resource allocation size in the first area is greater than or equal to the resource allocation threshold and whose network quality value is greater than or equal to the value threshold, and a second number of base stations whose average resource allocation size in the second area is greater than or equal to the resource allocation threshold and whose network quality value is greater than or equal to the value threshold; the processing module is configured to assign a first priority to the first area and a second priority to the second area if the first number is greater than the second number, where the first priority is higher than the second priority.
In a third aspect, the present application provides a server comprising: a processor and a memory configured to store processor-executable instructions; wherein the processor is configured to execute the instructions to implement any of the optional region determination methods of the first aspect above.
In a fourth aspect, the present application provides a computer readable storage medium having instructions stored thereon which, when executed by a server, enable the server to perform any one of the above-described optional region determination methods of the first aspect.
According to the region determining method, the device, the server and the storage medium, the server can acquire the base station data of a plurality of base stations within the preset duration, and M base stations with larger average resource allocation size (which can be understood as having higher resource allocation level) are determined from the plurality of base stations. The server can then determine the network quality value of each of the M base stations according to the network data of the first service performed by each of the M base stations, the network data of the second service performed by each of the M base stations, and the number of complaints of each of the M base stations within a preset duration; and determining N base stations from the M base stations, wherein the network quality value of the N base stations is greater than or equal to a value threshold. Finally, the server may determine the focal region based on the N base stations. In the application, the server can comprehensively judge the network quality of each of the M base stations based on the network quality of each of the M base stations when each of the M base stations performs the first service, the network quality of each of the M base stations when each of the M base stations performs the second service and the complaint condition of each of the M base stations within the preset time length, and can accurately and effectively determine the network quality value of each of the M base stations. In addition, the server can determine N base stations with higher resource allocation levels and better network quality from a plurality of base stations, and can accurately and effectively determine key areas based on the N base stations. In addition, the determination process of the key region is realized based on the blockchain technology, so that the data used in the determination process can be prevented from being tampered, and the security of region determination is improved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below.
Fig. 1 is a schematic diagram of a network architecture of a region determining system according to an embodiment of the present application;
fig. 2 is a flow chart of a method for determining a region according to an embodiment of the present application;
FIG. 3 is a flowchart of another area determining method according to an embodiment of the present application;
FIG. 4 is a flowchart of another area determining method according to an embodiment of the present application;
FIG. 5 is a flowchart of another method for determining a region according to an embodiment of the present application;
FIG. 6 is a flowchart of another area determining method according to an embodiment of the present application;
fig. 7 is a schematic structural diagram of a region determining apparatus according to an embodiment of the present application;
fig. 8 is a schematic structural diagram of another area determining apparatus according to an embodiment of the present application.
Detailed Description
The method, the device, the server and the storage medium for determining the area provided by the embodiment of the application are described in detail below with reference to the accompanying drawings.
The terms "first" and "second" and the like in the description and in the drawings are used for distinguishing between different objects and not for describing a particular sequential order of objects. For example, a first service and a second service, etc., are used to distinguish between different services, rather than to describe a particular order of services.
Furthermore, references to the terms "comprising" and "having" and any variations thereof in the description of the present application are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those listed but may optionally include other steps or elements not listed or inherent to such process, method, article, or apparatus.
It should be noted that, in the embodiments of the present application, words such as "exemplary" or "such as" are used to mean serving as an example, instance, or illustration. Any embodiment or design described herein as "exemplary" or "e.g." in an embodiment of the present application is not to be taken as preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary" or "such as" is intended to present related concepts in a concrete fashion.
The term "and/or" as used herein includes the use of either or both of these methods.
In the description of the present application, unless otherwise indicated, the meaning of "a plurality" means two or more.
The following explains some concepts related to a method, an apparatus, a server, and a storage medium for determining a region according to an embodiment of the present application.
A blockchain is a chain of blocks that are connected in sequence in the chronological order of their respective generation. The blockchain has two main core characteristics: the data is difficult to tamper and decentralize, and the problem of mutual distrust can be solved based on the two core characteristics. Servers in a blockchain system are referred to as nodes and are responsible for providing storage space and computational support for the blockchain system. In the embodiment of the application, each node (or server) in the blockchain system can determine the average resource allocation size and the network quality value corresponding to each base station in the plurality of base stations, thereby determining the key area.
Based on the description in the background art, since in the related art, the network management system can acquire related data of the base station, and further determine the key area based on the related data. However, the relevant data may be tampered with during the transmission and use process, and thus, the important area may not be accurately determined based on the relevant data. Based on this, the embodiment of the application provides a method, a device, a server and a storage medium for determining a region, wherein the server can comprehensively judge the network quality of each of M base stations based on the network quality of each of M base stations when each of M base stations performs a first service, the network quality of each of M base stations when each of M base stations performs a second service and complaint conditions of each of M base stations within a preset time period, and can accurately and effectively determine the network quality value of each of M base stations. In addition, the server can determine N base stations with higher resource allocation levels and better network quality from a plurality of base stations, and can accurately and effectively determine key areas based on the N base stations. In addition, the determination process of the key region is realized based on the blockchain technology, so that the data used in the determination process can be prevented from being tampered, and the security of region determination is improved.
The method, the device, the server and the storage medium for determining the area provided by the embodiment of the application can be applied to an area determination system. As shown in fig. 1, the area determination system includes a server 101, a server 102, and a server 103. In general, in practical application, the connection between the above devices may be a wireless connection, and for convenience and intuitionistic representation of the connection relationship between the devices, a solid line is used in fig. 1 to illustrate.
Specifically, the server (including the server 101, the server 102, and the server 103) may acquire base station data of a plurality of base stations within a preset duration, where the base station data of one base station within the preset duration includes network data of the base station and history data of the base station. One server corresponds to one base station, and the server can store the base station data of the base station corresponding to the server in a preset duration.
It should be noted that the 3 servers in fig. 1 are only one example of the embodiments of the present application. The number of servers included in the area determination system is not particularly limited in the embodiment of the present application.
The server for executing the area determining method provided by the embodiment of the application can be an independent physical server, can be a server cluster or a distributed system formed by a plurality of physical servers, and can also be a cloud server for providing cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, network acceleration services (content delivery network, CDN), basic cloud computing services such as big data and artificial intelligent platforms, and the like.
The method, the device, the server and the storage medium for determining the area are applied to a scene of package recommendation. Specifically, after determining the key area, the server can recommend corresponding communication packages to users (or user terminals) in the key area, and can provide customized services for the key area, so that the effectiveness of package recommendation is improved.
As shown in fig. 2, the area determining method provided by the embodiment of the present application may include S101-S105.
S101, a server acquires base station data of a plurality of base stations within a preset duration.
The base station data of one base station in the preset duration comprises network data of the base station and historical data of the base station, the network data of the base station comprises network data of the base station for performing a first service and network data of the base station for performing a second service, the network data of the base station for performing the first service comprises one or more of PRB utilization rate of the base station, RRC connection number of the base station and data transmission rate of the base station, the network data of the base station for performing the second service comprises one or more of time delay of the base station, bandwidth of the base station and packet loss rate of the base station, and the historical data of the base station comprises complaint times of the base station in the preset duration, resident user number of the base station and total resource allocation size corresponding to resident users of the base station.
It should be understood that, the server performing the area determining method provided by the embodiment of the present application may be a certain node (or a blockchain node) in the blockchain, and the functions of the node may be integrated in the server.
It will be appreciated that a server (or a blockchain node) corresponds to a base station, and the server is configured to store relevant data of the base station corresponding to the server, including base station data of the base station within a preset duration, and so on.
In the embodiment of the present application, for a certain server (or a certain blockchain node of a plurality of blockchain nodes included in a blockchain) in a plurality of servers included in a region determining system, the server may broadcast base station data of a base station (hereinafter referred to as a target base station) corresponding to the server in a preset duration, so that other servers (i.e., servers other than the server in the plurality of servers) may acquire the base station data of the target base station in the preset duration. Similarly, the other servers can broadcast the base station data of the base station corresponding to the other servers in the preset time length, so that the server can acquire the base station data of the base station corresponding to the other servers in the preset time length. Thus, the server and the other servers (i.e. the servers) can acquire the base station data of the base stations within the preset duration.
In an implementation manner of the embodiment of the present application, the first service may be a network access service, and the second service may be a voice service. That is, for a certain base station, the PRB utilization of the base station is specifically the PRB utilization of the base station for performing the internet service within a preset duration (the RRC connection number of the base station is the same as the data transmission rate of the base station). The time delay of the base station is specifically the time delay of the base station for performing voice service within a preset time period (the bandwidth of the base station and the packet loss rate of the base station are the same).
In the embodiment of the application, for a base station, different users may complain about the base station for multiple times with different complaint types. Thus, the number of complaints of the base station in the preset duration is the sum of the respective complaint times of a plurality of complaint types.
Alternatively, the complaint types described above may include high load, weak coverage, malfunction, interference, and the like.
In an optional implementation manner, for a certain base station and a certain user corresponding to the base station, the server may determine the number of connections between the user (specifically, a user terminal used by the user) and the base station in a preset duration and the traffic size used by the user in the preset duration. When the number of times of connection between the user and the base station in the preset time period is greater than a number threshold value and the flow used by the user in the preset time period is greater than a flow threshold value, the server can determine that the user is a resident user of the base station. Further, the server may determine the number of resident users for the base station.
It can be understood that the size of the resource allocation corresponding to a user is the size of the resource allocated by the server from the user account of the user. The total resource allocation size corresponding to the resident users of a base station is the sum of the resource sizes allocated by the server from the user accounts of all resident users of the base station.
S102, the server determines M base stations from the plurality of base stations.
The average resource allocation size corresponding to each of the M base stations is greater than or equal to a resource allocation threshold, the average resource allocation size corresponding to one base station is determined based on the number of resident users of the base station and the total resource allocation size corresponding to the resident users of the base station, and M is an integer greater than or equal to 1.
It should be appreciated that, for a base station of the plurality of base stations, the server may determine, as an average resource allocation size corresponding to the base station, a ratio between a total resource allocation size corresponding to the base station and a number of resident users of the base station.
In the embodiment of the present application, when the average resource size corresponding to a certain base station is greater than or equal to the resource allocation threshold, it is indicated that the server allocates the average resource size to be greater from the user account of the resident user of the base station, and it may also be understood that the base station (or the resident user of the base station) has a higher resource allocation level. At this time, the server may determine the base station as one of the M base stations.
In an alternative implementation, the total resource allocation size corresponding to the resident user of the base station may be the total consumption amount corresponding to the resident user of the base station. At this time, the average resource allocation size corresponding to the base station may be understood as average revenue per user (average revenue per user, ARPU) corresponding to the base station.
S103, the server determines the network quality value of each of the M base stations according to the network data of each of the M base stations for performing the first service, the network data of each of the M base stations for performing the second service and the complaint times of each of the M base stations in a preset duration.
Referring to fig. 2, as shown in fig. 3, in an implementation manner of the embodiment of the present application, the server determines the network quality value of each of the M base stations according to the network data of each of the M base stations performing the first service, the network data of each of the M base stations performing the second service, and the number of complaints of each of the M base stations within a preset duration, which may specifically include S1031-S1033.
S1031, the server determines the quality value of the first service performed by the first base station according to the network data of the first service performed by the first base station, and determines the quality value of the second service performed by the first base station according to the network data of the second service performed by the first base station.
Wherein the first base station is one of the M base stations.
In connection with the above description of the embodiments, it should be understood that the network data of the first base station performing the first service may include one or more of PRB utilization of the first base station, RRC connection number of the first base station, and data transmission rate of the first base station. The quality value of the first service performed by the first base station determined by the server may represent the network quality when the first base station performs the first service.
In addition, the network data of the first base station performing the second service may include one or more of a delay of the first base station, a bandwidth of the first base station, and a packet loss rate of the first base station. The quality value of the second service performed by the first base station determined by the server may represent the network quality when the first base station performs the second service.
In an implementation manner of the embodiment of the present application, the network data of the first base station performing the first service includes a PRB utilization ratio of the first base station. Referring to fig. 3, as shown in fig. 4, the server determines, according to the network data of the first service performed by the first base station, a quality value of the first service performed by the first base station, and may specifically include S1031a-S1031c.
S1031a, the server determines whether the PRB utilization of the first base station is less than or equal to a PRB utilization threshold.
S1031b, when the PRB utilization of the first base station is less than or equal to the PRB utilization threshold, the server determines the first value as a quality value of the first service performed by the first base station.
It should be understood that, when the PRB utilization of the first base station is smaller than or equal to the PRB utilization threshold, it may be understood that the PRB utilization of the first base station is smaller, and the network quality when the first base station performs the first service may also be understood as being in a normal state, and at this time, the server may determine the first value with a larger value as the quality value of the first service performed by the first base station.
S1031c, when the PRB utilization of the first base station is greater than the PRB utilization threshold, the server determines the second value as a quality value of the first service performed by the first base station.
Wherein the second value is less than the first value.
It can be understood that, when the PRB utilization of the first base station is greater than the PRB utilization threshold, it is indicated that the PRB utilization of the first base station is greater, that is, the network quality may be in an abnormal state when the first base station performs the first service, and at this time, the server may determine the second value with a smaller value as the quality value of the first service performed by the first base station.
For example, assume that the PRB utilization of the first base station is 60%, the PRB utilization threshold is 80%, the first value is 10, and the second value is 2. The server determines that the quality value of the first service performed by the first base station is 10.
In the embodiment of the present application, for a certain base station (for example, a first base station), an electronic device may determine a quality value of a first service performed by the first base station based on a PRB utilization of the first base station. Specifically, a first value with a larger value is determined as a quality value of the first service performed by the first base station when the PBR utilization rate of the first base station is smaller, or a second value with a smaller value is determined as a quality value of the first service performed by the first base station when the PRB utilization rate of the first base station is larger. The quality value of the first service performed by the first base station can be conveniently and rapidly determined, the quality value can accurately and effectively represent the network quality of the first base station when the first base station performs the first service, and further the determination efficiency of the network quality value of the first base station can be improved.
In one case, when the network data of a certain base station performing the first service includes a data (for example, PRB utilization of the base station, RRC connection number of the base station, or data transmission rate of the base station), the process of determining the quality value of the first service performed by the base station according to the network data of the first service performed by the base station is the same as or similar to the explanation in S1031a-S1031 c.
In another case, when the network data of a certain base station performing the first service includes at least two kinds of data (for example, PRB utilization of the base station, RRC connection number of the base station, and data transmission rate of the base station), the server may allocate a weight parameter to each of the at least two kinds of data, and determine a quality value of the base station performing the first service based on each of the data and the weight parameter corresponding to each of the data.
It should be noted that, the explanation of the quality value of the second service performed by the first base station determined by the server according to the network data of the second service performed by the first base station is the same as or similar to the description of the quality value of the first service performed by the first base station determined by the server according to the network data of the first service performed by the first base station, which is not repeated herein.
Optionally, the network data of the first base station for performing the first service may further include reference signal receiving power (reference signal receiving power, RSRP) of the first base station, a page response duration corresponding to the first base station (specifically, a response duration of a user corresponding to the first base station for browsing a relevant page when performing the first service), and the network data of the first base station for performing the second service may further include a number of camping and the like.
S1032, the server distributes the first weight parameter, the second weight parameter and the third weight parameter for the quality value of the first service performed by the first base station, the quality value of the second service performed by the first base station and the complaint times of the first base station in the preset time.
S1033, the server determines the network quality value of the first base station according to the quality value of the first service performed by the first base station, the quality value of the second service performed by the first base station, the complaint times of the first base station in the preset time period, the first weight parameter, the second weight parameter and the third weight parameter.
In one implementation of the embodiment of the present application, the server may determine a first product, a second product, and a third product, and determine a sum of the first product, the second product, and the third product as the network quality value of the first base station. The first product is a product between a quality value of the first service performed by the first base station and a first weight parameter, the second product is a product between a quality value of the second service performed by the first base station and a second weight parameter, and the third product is a product between the number of times the first base station is complained in a preset duration and a third weight parameter.
In the embodiment of the application, the server can determine the quality data which can accurately and effectively represent the network quality when the first base station performs the first service according to the network data of the first service; and the quality data which can accurately and effectively represent the network quality when the first base station performs the second service can be determined according to the network data of the second service performed by the first base station. In addition, the complaint condition of the first base station in the preset time period can be represented by the complaint times of the first base station in the preset time period. Therefore, the server can comprehensively judge the network quality of the first base station based on the network quality of the first base station when the first base station performs the first service, the network quality of the first base station when the first base station performs the second service and the complaint condition of the first base station in the preset time period, and can determine the network quality value with higher accuracy.
In an alternative implementation, in the process that the server determines the network quality value of a certain base station (for example, the first base station), one or more dynamic parameters may be added, so as to further improve the accuracy of the network quality data of each base station. Specifically, the server determines a network quality value of the first base station according to the quality value of the first service performed by the first base station, the quality value of the second service performed by the first base station, the number of complaints of the first base station within a preset duration, the first weight parameter, the second weight parameter, the third weight parameter and the dynamic parameter.
Optionally, the server may determine that the network quality value of the i-th base station satisfies the following formula:
W i ＝αA i +βB i +γC i +σ
wherein W is i Representing the network quality value of the ith base station, alpha represents a first weight parameter, A i Representing the quality value of the first service performed by the ith base station, beta represents a second weight parameter, B i Representing the quality value of the second service performed by the ith base station, gamma representing a third weight parameter, C i The number of complaints of the ith base station in the preset time length is represented, sigma represents the dynamic parameters, alpha is more than 0, beta is more than 0, gamma is more than 0, and sigma is more than 0.
Alternatively, the sum of the first weight parameter (i.e., α), the second weight parameter (i.e., β), and the third weight parameter (i.e., γ) may be 1.
S104, the server determines N base stations from M base stations.
The network quality values of the N base stations are larger than or equal to a value threshold, and N is an integer larger than or equal to 1.
It should be appreciated that, for a base station of the M base stations, when the network quality value of the base station is greater than or equal to the value threshold, it is indicated that the network quality of the base station is better. At this time, the server may determine the base station as one base station included in the N base stations.
In the embodiment of the present application, the above-mentioned S102-S104, that is, the process that the server determines N base stations from the plurality of base stations, may also be understood as a process that the server executes an intelligent contract, where the intelligent contract may be stored in the server in advance.
S105, the server determines key areas based on the N base stations.
In an alternative implementation, the server may determine coverage areas corresponding to the N base stations as the key area.
Notably, after the server determines the key area, the server can recommend corresponding communication packages to users (or user terminals) in the key area, so that customized services can be provided for the key area, and the effectiveness of package recommendation is improved.
The technical scheme provided by the embodiment at least has the following beneficial effects: from S101 to S105, it is known that: the server may obtain base station data of a plurality of base stations within a preset duration, and determine M base stations with larger average resource allocation sizes (which may also be understood as having higher resource allocation levels) from the plurality of base stations. The server can then determine the network quality value of each of the M base stations according to the network data of the first service performed by each of the M base stations, the network data of the second service performed by each of the M base stations, and the number of complaints of each of the M base stations within a preset duration; and determining N base stations from the M base stations, wherein the network quality value of the N base stations is greater than or equal to a value threshold. Finally, the server may determine the focal region based on the N base stations. In the embodiment of the application, the server can comprehensively judge the network quality of each of the M base stations based on the network quality of each of the M base stations when each of the M base stations performs the first service, the network quality of each of the M base stations when each of the M base stations performs the second service and the complaint condition of each of the M base stations within the preset time length, and can accurately and effectively determine the network quality value of each of the M base stations. In addition, the server can determine N base stations with higher resource allocation levels and better network quality from a plurality of base stations, and can accurately and effectively determine key areas based on the N base stations. In addition, the determination process of the key region is realized based on the blockchain technology, so that the data used in the determination process can be prevented from being tampered, and the security of region determination is improved.
In one implementation of the embodiment of the present application, the network data of a base station further includes location information of the base station. Referring to fig. 2, as shown in fig. 5, the server determines an important area based on N base stations, and may specifically include S1051-S1053.
S1051, the server determines the distance between each base station of the N base stations and other base stations based on the position information of each base station of the N base stations.
Wherein the other base stations are base stations other than each of the N base stations.
Alternatively, the location information of a base station may be latitude and longitude information of the base station.
S1052, the server classifies the N base stations into at least one cluster based on the distance between each of the N base stations and other base stations.
It should be appreciated that one or more base stations may be included in a cluster.
In an alternative implementation, the distance threshold may be stored in the server. When the distance between one of the N base stations (e.g., the first base station) and another one of the N base stations (e.g., the second base station) is less than or equal to the distance threshold, the server may divide the first base station and the second base station into the same cluster, i.e., the first base station and the second base station belong to the same cluster.
In another alternative implementation, if the distances between the first base station and at least one base station (i.e., the base stations other than the first base station in the N base stations) are all greater than the distance threshold, the server may determine that only the first base station is included in the cluster to which the first base station belongs.
In another alternative implementation, the number threshold may also be stored in the server. When the target number is greater than or equal to the number threshold, the class cluster to which the first base station belongs includes the same number of base stations as the number threshold, and the target number is the number of base stations, of which the distance between the first base station and the at least one base station is less than or equal to the distance threshold.
S1053, the server determines the area where the resident user of the base station included in each class cluster in at least one class cluster is located as an important area.
Wherein, a class cluster corresponds to a key area.
It should be appreciated that a base station may correspond to multiple resident users, and a resident user may correspond to (or be in) multiple areas for a period of time (e.g., for the preset duration described above). In the embodiment of the present application, for a base station, the server may determine, as the resident area corresponding to the base station, the sum of the areas where the resident users corresponding to the base station are located (or correspond to) within the preset duration. And for a class cluster, the sum of resident areas corresponding to each base station included in the class cluster can be determined as a key area, namely the key area corresponding to the class cluster.
In an optional implementation manner, for a certain cluster, the server may further determine, as a key area corresponding to the cluster, a sum of coverage areas of each base station included in the cluster.
The number of the key areas may be one or more. The number of heavy spot areas in the embodiments of the present application is not particularly limited.
In the embodiment of the present application, the server may determine, based on the location information of each base station in the N base stations, a distance between each base station and other base stations (i.e., base stations other than each base station in the N base stations); and the N base stations are divided into at least one cluster based on the distance between each base station and the other base stations (e.g., base stations closer in distance may be divided into the same cluster). Then, the server may determine, as the key area, an area where the resident user of the base station included in each of the at least one class cluster is located. N base stations can be divided based on specific conditions (namely distances), so that the dividing efficiency of the base stations is improved, and the server can be ensured to rapidly determine key areas.
In an implementation manner of the embodiment of the present disclosure, the key region includes a first region and a second region. Referring to fig. 2, as shown in fig. 6, the method for determining a region according to the embodiment of the present application may further include S106 to S107.
S106, the server determines the first quantity and the second quantity.
The first number is the number of base stations whose average resource allocation size in the first area is greater than or equal to the above-mentioned resource allocation threshold and whose network quality value is greater than or equal to the above-mentioned value threshold, and the second number is the number of base stations whose average resource allocation size in the second area is greater than or equal to the resource allocation threshold and whose network quality value is greater than or equal to the value threshold.
In connection with the above description of the embodiments, it should be understood that one key area corresponds to one class cluster, and the base stations included in the key area are the base stations included in the class cluster corresponding to the key area. Thus, the first number is the number of base stations belonging to the N base stations included in the first area, and the second number is the number of base stations belonging to the N base stations included in the second area.
S107, in the case that the first number is greater than the second number, the server assigns a first priority to the first area and a second priority to the second area.
Wherein the first priority is higher than the second priority.
In connection with the description of the above embodiments, it should be understood that, for each of the N base stations, the average resource allocation size corresponding to the each base station is greater than or equal to the resource allocation threshold, and the network quality value of the each base station is greater than or equal to the value threshold, that is, the each base station has a higher resource allocation level and the network quality is better. In the case where the first number is greater than the second number, it is explained that the number of base stations having a higher resource allocation level and having a better network quality included in the first area is greater than the number of base stations having a higher resource allocation level and having a better network quality included in the second area, and the server may assign a higher priority (i.e., a first priority) to the first area and a lower priority (i.e., a second priority) to the second area.
In the embodiment of the application, the server can recommend the communication package for the area with higher priority (such as the first area).
In an alternative implementation, the server may assign a lower priority (i.e., a second priority) to the first region and a higher priority (i.e., a first priority) to the second region if the first number is less than the second number.
In the embodiment of the present application, when the first number is greater than the second number, it is described that the number of base stations with a higher resource allocation level and better network quality included in the first area is greater than the number of base stations with a higher resource allocation level and better network quality included in the second area, and at this time, the server may allocate a higher priority (i.e., a first priority) to the first area and allocate a lower priority (i.e., a second priority) to the second area. The method and the device can allocate higher priority to the areas with higher communication level, reasonably maintain the priority order of different areas, and further improve the effectiveness of package recommendation.
In one implementation manner of the embodiment of the present disclosure, after determining the key areas based on the N base stations, the server may send a transaction passing license (token) to a server (or node) corresponding to the N base stations, where the transaction passing license includes a preset parameter, and the preset parameter is greater than the dynamic parameter. When the server determines the network quality value of each base station in the N base stations next time, the preset parameter is the updated dynamic parameter. Therefore, each base station in the N base stations is more easily clustered in the subsequent process of determining the key area, is also more easily formed into the node corresponding to the key area, and can ensure the stability of the key area.
The embodiment of the application can divide the functional modules of the server and the like according to the method example, for example, each functional module can be divided corresponding to each function, and two or more functions can be integrated in one processing module. The integrated modules may be implemented in hardware or in software functional modules. It should be noted that, in the embodiment of the present application, the division of the modules is schematic, which is merely a logic function division, and other division manners may be implemented in actual implementation.
In the case of dividing the respective functional modules with the respective functions, fig. 7 shows a schematic diagram of one possible configuration of the area determining apparatus involved in the above-described embodiment, and as shown in fig. 7, the area determining apparatus 20 may include: an acquisition module 201 and a determination module 202.
The obtaining module 201 is configured to obtain base station data of a plurality of base stations within a preset duration, where the base station data of one base station within the preset duration includes network data of the base station and historical data of the base station, the network data of the base station includes network data of the base station performing a first service and network data of the base station performing a second service, the network data of the base station performing the first service includes one or more of a PRB utilization rate of the base station, an RRC connection number of the base station, and a data transmission rate of the base station, the network data of the base station performing the second service includes one or more of a delay of the base station, a bandwidth of the base station, and a packet loss rate of the base station, and the historical data of the base station includes a number of complaints of the base station within the preset duration, a number of resident users of the base station, and a total resource allocation size corresponding to a resident user of the base station.
A determining module 202, configured to determine M base stations from the plurality of base stations, where an average resource allocation size corresponding to each of the M base stations is greater than or equal to a resource allocation threshold, where an average resource allocation size corresponding to one base station is determined based on a number of resident users of the base station and a total resource allocation size corresponding to resident users of the base station, and M is an integer greater than or equal to 1.
The determining module 202 is further configured to determine respective network quality values of the M base stations according to the network data of the first service performed by the M base stations, the network data of the second service performed by the M base stations, and the number of complaints of the M base stations in the preset duration.
The determining module 202 is further configured to determine N base stations from the M base stations, where the network quality values of the N base stations are greater than or equal to a value threshold, and N is an integer greater than or equal to 1.
The determining module 202 is further configured to determine an important area based on the N base stations.
Optionally, the network data of a base station further comprises location information of the base station, and the area determining device further comprises a processing module 203.
The determining module 202 is specifically configured to determine a distance between each of the N base stations and other base stations based on the location information of each of the N base stations, where the other base stations are base stations of the N base stations except for each of the base stations.
And a processing module 203, configured to divide the N base stations into at least one cluster based on the distance between each base station of the N base stations and the other base stations.
The determining module 202 is further specifically configured to determine, as a key area, an area where a resident user of the base station included in each of the at least one class cluster is located, where one class cluster corresponds to one key area.
Optionally, the determining module 202 is specifically configured to determine a quality value of the first service performed by the first base station according to the network data of the first service performed by the first base station, and determine a quality value of the second service performed by the first base station according to the network data of the second service performed by the first base station, where the first base station is one of the M base stations.
The processing module 203 is configured to allocate a first weight parameter, a second weight parameter, and a third weight parameter to the quality value of the first service performed by the first base station, the quality value of the second service performed by the first base station, and the number of complaints of the first base station within the preset duration, respectively.
The determining module 202 is further specifically configured to determine a network quality value of the first base station according to the quality value of the first service performed by the first base station, the quality value of the second service performed by the first base station, the number of complaints of the first base station within the preset duration, the first weight parameter, the second weight parameter, and the third weight parameter.
Optionally, the network data of the first base station performing the first service includes PRB utilization of the first base station.
The determining module 202 is further specifically configured to determine whether the PRB utilization of the first base station is less than or equal to a PRB utilization threshold.
The determining module 202 is further specifically configured to determine the first value as a quality value of the first service performed by the first base station when the PRB utilization of the first base station is less than or equal to the PRB utilization threshold.
The determining module 202 is further specifically configured to determine a second value as a quality value of the first service performed by the first base station when the PRB utilization of the first base station is greater than the PRB utilization threshold, where the second value is smaller than the first value.
Optionally, the key region includes a first region and a second region.
The determining module 202 is further configured to determine a first number of base stations whose average resource allocation size in the first area is greater than or equal to the resource allocation threshold and whose network quality value is greater than or equal to the value threshold, and a second number of base stations whose average resource allocation size in the second area is greater than or equal to the resource allocation threshold and whose network quality value is greater than or equal to the value threshold.
A processing module 203, configured to assign a first priority to the first area and a second priority to the second area if the first number is greater than the second number, where the first priority is higher than the second priority.
In the case of an integrated unit, fig. 8 shows a schematic diagram of one possible configuration of the area determining apparatus involved in the above-described embodiment. As shown in fig. 8, the area determining apparatus 30 may include: a processing module 301 and a communication module 302. The processing module 301 may be used for controlling and managing the actions of the area determining apparatus 30. The communication module 302 may be used to support communication of the region determination apparatus 30 with other entities. Optionally, as shown in fig. 8, the area determining device 30 may further include a storage module 303 for storing program codes and data of the area determining device 30.
Wherein the processing module 301 may be a processor or a controller. The communication module 302 may be a transceiver, a transceiver circuit, a communication interface, or the like. The storage module 303 may be a memory.
When the processing module 301 is a processor, the communication module 302 is a transceiver, and the storage module 303 is a memory, the processor, the transceiver, and the memory may be connected through a bus. The bus may be a peripheral component interconnect standard (peripheral component interconnect, PCI) bus or an extended industry standard architecture (extended industry standard architecture, EISA) bus, or the like. The buses may be divided into address buses, data buses, control buses, etc.
It should be understood that, in various embodiments of the present application, the sequence numbers of the foregoing processes do not mean the order of execution, and the order of execution of the processes should be determined by the functions and internal logic thereof, and should not constitute any limitation on the implementation process of the embodiments of the present application.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, and are not repeated herein.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In the above embodiments, it may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented using a software program, it may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the processes or functions described in accordance with embodiments of the present application are produced in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by a wired (e.g., coaxial cable, fiber optic, digital subscriber terminal line (Digital Subscriber Line, DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer readable storage medium may be any available medium that can be accessed by a computer or a data storage device including one or more servers, data centers, etc. that can be integrated with the medium. The usable medium may be a magnetic medium (e.g., a floppy Disk, a hard Disk, a magnetic tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a Solid State Disk (SSD)), or the like.
The foregoing is merely illustrative of the present application, and the present application is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims (12)

1. A method of determining a region, the method comprising:
acquiring base station data of a plurality of base stations in preset time, wherein the base station data of one base station in the preset time comprises network data of the base station and historical data of the base station, the network data of the base station comprises network data of the base station for performing a first service and network data of the base station for performing a second service, the network data of the base station for performing the first service comprises one or more of Physical Resource Block (PRB) utilization rate of the base station, radio Resource Control (RRC) connection number of the base station and data transmission rate of the base station, the network data of the base station for performing the second service comprises one or more of time delay of the base station, bandwidth of the base station and packet loss rate of the base station, and the historical data of the base station comprises complained times of the base station in the preset time, resident user number of the base station and total resource allocation size corresponding to resident users of the base station;
Determining M base stations from the plurality of base stations, wherein the average resource allocation size corresponding to each of the M base stations is greater than or equal to a resource allocation threshold, the average resource allocation size corresponding to one base station is determined based on the number of resident users of the base station and the total resource allocation size corresponding to the resident users of the base station, and M is an integer greater than or equal to 1;
according to the network data of the first service, the network data of the second service and the number of complaints of the M base stations in the preset duration, the network quality values of the M base stations are determined;
determining N base stations from the M base stations, wherein the network quality values of the N base stations are larger than or equal to a value threshold, and N is an integer larger than or equal to 1;
and determining a key area based on the N base stations.
2. The area determining method according to claim 1, wherein the network data of one base station further includes location information of the base station, and the determining the key area based on the N base stations includes:
determining the distance between each base station of the N base stations and other base stations based on the position information of each base station of the N base stations, wherein the other base stations are base stations except for each base station of the N base stations;
Dividing the N base stations into at least one cluster based on the distance between each base station of the N base stations and the other base stations;
and determining the area where the resident user of the base station included in each class cluster in the at least one class cluster is located as a key area, wherein one class cluster corresponds to one key area.
3. The area determining method according to claim 1, wherein the determining the network quality value of each of the M base stations according to the network data of the first service performed by each of the M base stations, the network data of the second service performed by each of the M base stations, and the number of complaints of each of the M base stations within the preset time period includes:
determining a quality value of the first service performed by a first base station according to the network data of the first service performed by the first base station, and determining a quality value of the second service performed by the first base station according to the network data of the second service performed by the first base station, wherein the first base station is one of the M base stations;
a first weight parameter, a second weight parameter and a third weight parameter are respectively distributed to the quality value of the first service performed by the first base station, the quality value of the second service performed by the first base station and the complaint times of the first base station in the preset duration;
And determining a network quality value of the first base station according to the quality value of the first service performed by the first base station, the quality value of the second service performed by the first base station, the complaint times of the first base station in the preset duration, the first weight parameter, the second weight parameter and the third weight parameter.
4. The area determining method according to claim 3, wherein the network data of the first base station performing the first service includes a PRB utilization of the first base station, and the determining the quality value of the first service performed by the first base station according to the network data of the first base station performing the first service includes:
determining whether the PRB utilization rate of the first base station is smaller than or equal to a PRB utilization rate threshold;
determining a first value as a quality value of the first service performed by the first base station under the condition that the PRB utilization rate of the first base station is smaller than or equal to the PRB utilization rate threshold;
and under the condition that the PRB utilization rate of the first base station is larger than the PRB utilization rate threshold, determining a second value as a quality value of the first service carried out by the first base station, wherein the second value is smaller than the first value.
5. The region determination method according to any one of claims 1 to 4, wherein the key region includes a first region and a second region, the method further comprising:
determining a first number of base stations whose corresponding average resource allocation size in the first region is greater than or equal to the resource allocation threshold and whose network quality value is greater than or equal to the value threshold, and a second number of base stations whose corresponding average resource allocation size in the second region is greater than or equal to the resource allocation threshold and whose network quality value is greater than or equal to the value threshold;
in case the first number is greater than the second number, a first priority is assigned to the first area and a second priority is assigned to the second area, the first priority being higher than the second priority.
6. An area determining apparatus, comprising: an acquisition module and a determination module;
the acquiring module is configured to acquire base station data of a plurality of base stations within a preset duration, where the base station data of one base station within the preset duration includes network data of the base station and historical data of the base station, the network data of the base station includes network data of the base station performing a first service and network data of the base station performing a second service, the network data of the base station performing the first service includes one or more of a PRB utilization rate of the base station, an RRC connection number of the base station, and a data transmission rate of the base station, the network data of the base station performing the second service includes one or more of a time delay of the base station, a bandwidth of the base station, and a packet loss rate of the base station, and the historical data of the base station includes a number of times the base station is complained within the preset duration, a resident number of users of the base station, and a total resource allocation size corresponding to a resident user of the base station;
The determining module is configured to determine M base stations from the plurality of base stations, where an average resource allocation size corresponding to each of the M base stations is greater than or equal to a resource allocation threshold, where an average resource allocation size corresponding to one base station is determined based on a number of resident users of the base station and a total resource allocation size corresponding to resident users of the base station, and M is an integer greater than or equal to 1;
the determining module is further configured to determine a network quality value of each of the M base stations according to the network data of the first service performed by each of the M base stations, the network data of the second service performed by each of the M base stations, and the number of complaints of each of the M base stations within the preset duration;
the determining module is further configured to determine N base stations from the M base stations, where a network quality value of the N base stations is greater than or equal to a value threshold, and N is an integer greater than or equal to 1;
the determining module is further configured to determine an important area based on the N base stations.
7. The area determining apparatus according to claim 6, wherein the network data of one base station further includes location information of the base station, the area determining apparatus further comprising a processing module;
The determining module is specifically configured to determine a distance between each base station of the N base stations and other base stations based on the location information of each base station of the N base stations, where the other base stations are base stations of the N base stations except for each base station;
the processing module is configured to divide the N base stations into at least one cluster based on a distance between each of the N base stations and the other base stations;
the determining module is further specifically configured to determine, as a key area, an area where a resident user of the base station included in each class cluster in the at least one class cluster is located, where one class cluster corresponds to one key area.
8. The area determining apparatus according to claim 6, wherein the area determining apparatus further comprises a processing module;
the determining module is specifically configured to determine a quality value of the first service performed by the first base station according to network data of the first service performed by the first base station, and determine a quality value of the second service performed by the first base station according to network data of the second service performed by the first base station, where the first base station is one of the M base stations;
The processing module is configured to allocate a first weight parameter, a second weight parameter, and a third weight parameter to the quality value of the first service performed by the first base station, the quality value of the second service performed by the first base station, and the number of complaints of the first base station within the preset duration, respectively;
the determining module is further specifically configured to determine a network quality value of the first base station according to the quality value of the first service performed by the first base station, the quality value of the second service performed by the first base station, the number of complaints of the first base station within the preset duration, the first weight parameter, the second weight parameter, and the third weight parameter.
9. The area determining apparatus of claim 8, wherein the network data of the first base station for the first service comprises PRB utilization of the first base station;
the determining module is further specifically configured to determine whether a PRB utilization of the first base station is less than or equal to a PRB utilization threshold;
the determining module is further specifically configured to determine a first value as a quality value of the first service performed by the first base station when a PRB utilization of the first base station is less than or equal to the PRB utilization threshold;
The determining module is further specifically configured to determine a second value as a quality value of the first service performed by the first base station when the PRB utilization of the first base station is greater than the PRB utilization threshold, where the second value is smaller than the first value.
10. The region determination apparatus according to any one of claims 6 to 9, wherein the key region includes a first region and a second region, the region determination apparatus further comprising a processing module;
the determining module is further configured to determine a first number and a second number, where the first number is a number of base stations in the first area, where the average resource allocation size corresponding to the first area is greater than or equal to the resource allocation threshold, and the network quality value is greater than or equal to the numerical threshold, and the second number is a number of base stations in the second area, where the average resource allocation size corresponding to the second area is greater than or equal to the resource allocation threshold, and the network quality value is greater than or equal to the numerical threshold;
the processing module is configured to assign a first priority to the first area and assign a second priority to the second area if the first number is greater than the second number, where the first priority is higher than the second priority.
11. A server, the server comprising:
a processor;
a memory configured to store the processor-executable instructions;
wherein the processor is configured to execute the instructions to implement the region determination method of any one of claims 1-5.
12. A computer readable storage medium having instructions stored thereon, which when executed by a server, cause the server to perform the region determination method of any of claims 1-5.
CN202310519694.9A 2023-05-09 2023-05-09 Region determination method, device, server and storage medium Pending CN116709184A (en)

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