CN116668956A - Information determining method, apparatus and computer readable storage medium - Google Patents

Information determining method, apparatus and computer readable storage medium Download PDF

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Publication number
CN116668956A
CN116668956A CN202310786846.1A CN202310786846A CN116668956A CN 116668956 A CN116668956 A CN 116668956A CN 202310786846 A CN202310786846 A CN 202310786846A CN 116668956 A CN116668956 A CN 116668956A
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China
Prior art keywords
area
preset
value
preset area
target
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CN202310786846.1A
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Chinese (zh)
Inventor
于洋
祝喆
祝海亮
周奕昕
刘二波
李萌
褚旭
许艳秋
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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 CN202310786846.1A priority Critical patent/CN116668956A/en
Publication of CN116668956A publication Critical patent/CN116668956A/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
    • H04L41/08—Configuration management of networks or network elements
    • H04L41/0803—Configuration setting
    • H04L41/0823—Configuration setting characterised by the purposes of a change of settings, e.g. optimising configuration for enhancing reliability
    • 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
    • H04W4/029—Location-based management or tracking services
    • 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)
  • Financial Or Insurance-Related Operations Such As Payment And Settlement (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The application provides an information determining method, an information determining device and a computer readable storage medium, relates to the field of communication, and can effectively improve the income of a communication network in a preset area and make the output input ratio as large as possible. The method comprises the following steps: acquiring area information and target network health information of each preset area in a plurality of preset areas in a preset time period; determining the value of each preset area according to the area information of each preset area; determining target revenue improvement measure information of a target preset area after a preset time period according to the first mapping relation and the target network health information of the target preset area in the plurality of preset areas; the first mapping relationship comprises a one-to-one correspondence relationship between a plurality of network health information and a plurality of benefit promoting measure information, and the value of the target preset area is larger than a first threshold.

Description

Information determining method, apparatus and computer readable storage medium
Technical Field
The present application relates to the field of communications, and in particular, to an information determining method, apparatus, and computer readable storage medium.
Background
In order to increase the benefits of the communication network in the preset area, the benefit increasing measure information capable of increasing the benefits of the preset area needs to be determined first. One existing information determining method is to determine corresponding benefit improvement measure information based on coverage capability, capacity and usage scenario of the communication network in the preset area.
However, the benefits of the communication network in the preset area are affected by various aspects, so in the existing scheme, the benefit-improving measure information determined based on the aspects cannot effectively improve the benefits of the communication network in the preset area, and the yield-input ratio cannot be ensured.
Disclosure of Invention
The application provides an information determining method, an information determining device and a computer readable storage medium, which can effectively improve the income of a communication network in a preset area and enable the output input ratio to be as large as possible.
In order to achieve the above purpose, the application adopts the following technical scheme:
in a first aspect, there is provided an information determining method, the method including: acquiring area information and target network health information of each preset area in a plurality of preset areas in a preset time period; the regional information comprises a user quantity set, an ARPU set and a regional area, wherein the user quantity set comprises the user quantity of a first user and the user quantity of a second user, the ARPU set comprises the ARPU of the first user and the ARPU of the second user, the first user is a 5G user in a plurality of resident users, the second user is a user except the first user in the plurality of resident users, and the target network health information is used for representing network coverage conditions and network quality conditions; determining the value of each preset area according to the area information of each preset area; determining target revenue improvement measure information of a target preset area after a preset time period according to the first mapping relation and the target network health information of the target preset area in the plurality of preset areas; the first mapping relationship comprises a one-to-one correspondence relationship between a plurality of network health information and a plurality of benefit promoting measure information, and the value of the target preset area is larger than a first threshold.
Based on the scheme, the value of each preset area is determined based on the area information of each preset area by acquiring the area information and the target network health information of each preset area in a preset time period, and the target benefit improvement measure information of the target preset area after the preset time period is determined according to the first mapping relation and the target network health information of the target preset area with the value larger than a first threshold value in the preset areas. Compared with the existing scheme of determining corresponding measure information based on the coverage capacity aspect, the capacity aspect and the use scene aspect of the communication network in the preset area, the scheme of the application can comprehensively consider the value and the network health of the preset area because the area information comprises the user quantity set, the ARPU set and the area, and the target benefit improving measure information of the target preset area with the value larger than the first threshold value is determined on the basis, so that the corresponding target benefit improving measure information can be executed for the target preset area, the benefit of the communication network in the preset area can be effectively improved, and the output input ratio is as large as possible.
With reference to the first aspect, in certain implementation manners of the first aspect, determining a value of each preset area according to the area information of each preset area includes: determining a target first value of each preset area according to the user quantity set and the area of the area in the area information of each preset area; determining a target second value of each preset area according to the ARPU set and the area of the area in the area information of each preset area; taking the weighted sum of the target first value and the target second value of each preset area as the value of each preset area.
Based on this scheme, a scheme of determining the value of each preset area from the area information of each preset area can be implemented by determining the target first value and the target second value of each preset area and then taking the weighted sum of the target first value and the target second value of each preset area as the value of each preset area.
With reference to the first aspect, in certain implementation manners of the first aspect, determining a target first value of each preset area according to the set of the number of users and the area of the area in the area information of each preset area includes: determining a third value index and a fourth value index of each preset area; the third value index is the ratio of the number of users of the first user of each preset area to the area of each preset area, and the fourth value index is the ratio of the number of users of the second user of each preset area to the area of each preset area; determining an average third value index and an average fourth value index of a plurality of preset areas; the average trivalent value index is the ratio of the sum of the trivalent value indexes of the plurality of preset areas to the number of the plurality of preset areas, and the average tetravalent value index is the ratio of the sum of the tetravalent value indexes of the plurality of preset areas to the number of the plurality of preset areas; determining a target first valence of each preset area according to the average third valence index, the average fourth valence index, the third valence index of each preset area, the fourth valence index of each preset area and the second mapping relation; the second mapping relation comprises a one-to-one correspondence relation between a plurality of first magnitude relation groups and a plurality of first valence values, the first magnitude relation groups comprise a first magnitude relation and a second magnitude relation, the first magnitude relation is a magnitude relation between a third valence value index and an average third valence value index, and the second magnitude relation is a magnitude relation between a fourth valence value index and an average fourth valence value index.
Based on the scheme, by determining the average trivalent value index and the average tetravalent value index of the plurality of preset areas, the trivalent value index and the tetravalent value index of each preset area and then determining the target first value of the preset area based on the average trivalent value index, the average tetravalent value index, the trivalent value index and the tetravalent value index and the second mapping relation, the scheme of determining the target first value of each preset area according to the user number set and the area of the area in the area information of each preset area can be realized.
With reference to the first aspect, in certain implementation manners of the first aspect, determining the target second value of each preset area according to the ARPU set and the area of the area in the area information of each preset area includes: determining a fifth value index and a hexavalent value index of each preset area; the fifth value index is the ratio of the ARPU of the first user of each preset area to the area of each preset area, and the hexavalent value index is the ratio of the ARPU of the second user of each preset area to the area of each preset area; determining an average fifth value index and an average hexavalent value index of a plurality of preset areas; the average fifth value index is the ratio of the sum of the fifth value indexes of the plurality of preset areas to the number of the plurality of preset areas, and the average hexavalent value index is the ratio of the sum of the hexavalent value indexes of the plurality of preset areas to the number of the plurality of preset areas; determining a target second valence of each preset area according to the average fifth valence index, the average hexavalent value index, the fifth valence index of each preset area, the hexavalent value index of each preset area and the third mapping relation; the third mapping relation comprises a one-to-one correspondence relation between a plurality of second magnitude relation groups and a plurality of second valence values, the second magnitude relation groups comprise a third magnitude relation and a fourth magnitude relation, the third magnitude relation is a magnitude relation between a fifth valence value index and an average fifth valence value index, and the fourth magnitude relation is a magnitude relation between a hexavalent value index and an average hexavalent value index.
Based on the scheme, by determining the average fifth value index and the average hexavalent value index of the plurality of preset regions, the fifth value index and the hexavalent value index of each preset region, and then determining the target second value of the preset region based on the average fifth value index, the average hexavalent value index, the fifth value index and the hexavalent value index and the third mapping relation, the scheme of determining the target second value of each preset region according to the ARPU set and the region area in the region information of each preset region can be realized.
With reference to the first aspect, in certain implementation manners of the first aspect, acquiring the target network health information of each of a plurality of preset areas within a preset time period includes: acquiring a plurality of network information sets of each preset area in a plurality of preset areas in a preset time period; the network information set comprises SINR and RSRP; determining a first ratio and a second ratio of each preset area; the first ratio is a ratio of a number of target SINR to a number of the plurality of SINR, the target SINR is an SINR of the plurality of SINR that is greater than a second threshold, the second ratio is a ratio of a number of target RSRP to a number of the plurality of RSRP, and the target RSRP is an RSRP of the plurality of RSRP that is greater than a third threshold; determining target network health information of each preset area according to the first ratio, the second ratio, the fourth threshold, the fifth threshold and the fourth mapping relation; the fourth mapping relation comprises a one-to-one correspondence relation between a plurality of third magnitude relation groups and a plurality of network health information, the third magnitude relation groups comprise a fifth magnitude relation and a sixth magnitude relation, the fifth magnitude relation is a magnitude relation between the first ratio and the fourth threshold, and the sixth magnitude relation is a magnitude relation between the second ratio and the fifth threshold.
Based on the scheme, the target network health information of each preset area in the preset time period can be obtained by determining the first ratio and the second ratio of the preset areas and then determining the network health information of the preset areas based on the first ratio, the second ratio, the fourth threshold, the fifth threshold and the fourth mapping relation.
In a second aspect, an information determining apparatus is provided for implementing the information determining method of the first aspect. The information determining device comprises corresponding modules, units or means (means) for realizing the method, wherein the modules, units or means can be realized by hardware, software or realized by executing corresponding software by hardware. The hardware or software includes one or more modules or units corresponding to the functions described above.
With reference to the second aspect, in certain embodiments of the second aspect, the information determining apparatus includes: the device comprises an acquisition module and a processing module; the acquisition module is used for acquiring the area information of each preset area in the plurality of preset areas and the target network health information in the preset time period; the regional information comprises a user quantity set, an ARPU set and a regional area, wherein the user quantity set comprises the user quantity of a first user and the user quantity of a second user, the ARPU set comprises the ARPU of the first user and the ARPU of the second user, the first user is a 5G user in a plurality of resident users, the second user is a user except the first user in the plurality of resident users, and the target network health information is used for representing network coverage conditions and network quality conditions; the processing module is used for determining the value of each preset area according to the area information of each preset area; the processing module is further used for determining target benefit improving measure information of the target preset area after the preset time period according to the first mapping relation and the target network health information of the target preset area in the plurality of preset areas; the first mapping relationship comprises a one-to-one correspondence relationship between a plurality of network health information and a plurality of benefit promoting measure information, and the value of the target preset area is larger than a first threshold.
With reference to the second aspect, in certain implementation manners of the second aspect, the processing module is configured to determine a value of each preset area according to the area information of each preset area, and includes: determining a target first value of each preset area according to the user quantity set and the area of the area in the area information of each preset area; determining a target second value of each preset area according to the ARPU set and the area of the area in the area information of each preset area; taking the weighted sum of the target first value and the target second value of each preset area as the value of each preset area.
With reference to the second aspect, in certain implementation manners of the second aspect, the processing module is further configured to determine a target first value of each preset area according to the set of the number of users and the area of the area in the area information of each preset area, where the determining includes: determining a third value index and a fourth value index of each preset area; the third value index is the ratio of the number of users of the first user of each preset area to the area of each preset area, and the fourth value index is the ratio of the number of users of the second user of each preset area to the area of each preset area; determining an average third value index and an average fourth value index of a plurality of preset areas; the average trivalent value index is the ratio of the sum of the trivalent value indexes of the plurality of preset areas to the number of the plurality of preset areas, and the average tetravalent value index is the ratio of the sum of the tetravalent value indexes of the plurality of preset areas to the number of the plurality of preset areas; determining a target first valence of each preset area according to the average third valence index, the average fourth valence index, the third valence index of each preset area, the fourth valence index of each preset area and the second mapping relation; the second mapping relation comprises a one-to-one correspondence relation between a plurality of first magnitude relation groups and a plurality of first valence values, the first magnitude relation groups comprise a first magnitude relation and a second magnitude relation, the first magnitude relation is a magnitude relation between a third valence value index and an average third valence value index, and the second magnitude relation is a magnitude relation between a fourth valence value index and an average fourth valence value index.
With reference to the second aspect, in certain implementation manners of the second aspect, the processing module is further configured to determine a target second value of each preset area according to the ARPU set and the area of the area in the area information of each preset area, including: determining a fifth value index and a hexavalent value index of each preset area; the fifth value index is the ratio of the ARPU of the first user of each preset area to the area of each preset area, and the hexavalent value index is the ratio of the ARPU of the second user of each preset area to the area of each preset area; determining an average fifth value index and an average hexavalent value index of a plurality of preset areas; the average fifth value index is the ratio of the sum of the fifth value indexes of the plurality of preset areas to the number of the plurality of preset areas, and the average hexavalent value index is the ratio of the sum of the hexavalent value indexes of the plurality of preset areas to the number of the plurality of preset areas; determining a target second valence of each preset area according to the average fifth valence index, the average hexavalent value index, the fifth valence index of each preset area, the hexavalent value index of each preset area and the third mapping relation; the third mapping relation comprises a one-to-one correspondence relation between a plurality of second magnitude relation groups and a plurality of second valence values, the second magnitude relation groups comprise a third magnitude relation and a fourth magnitude relation, the third magnitude relation is a magnitude relation between a fifth valence value index and an average fifth valence value index, and the fourth magnitude relation is a magnitude relation between a hexavalent value index and an average hexavalent value index.
With reference to the second aspect, in certain implementation manners of the second aspect, the acquiring module is configured to acquire target network health information of each of a plurality of preset areas within a preset time period, including: acquiring a plurality of network information sets of each preset area in a plurality of preset areas in a preset time period; the network information set comprises SINR and RSRP; determining a first ratio and a second ratio of each preset area; the first ratio is a ratio of a number of target SINR to a number of the plurality of SINR, the target SINR is an SINR of the plurality of SINR that is greater than a second threshold, the second ratio is a ratio of a number of target RSRP to a number of the plurality of RSRP, and the target RSRP is an RSRP of the plurality of RSRP that is greater than a third threshold; determining target network health information of each preset area according to the first ratio, the second ratio, the fourth threshold, the fifth threshold and the fourth mapping relation; the fourth mapping relation comprises a one-to-one correspondence relation between a plurality of third magnitude relation groups and a plurality of network health information, the third magnitude relation groups comprise a fifth magnitude relation and a sixth magnitude relation, the fifth magnitude relation is a magnitude relation between the first ratio and the fourth threshold, and the sixth magnitude relation is a magnitude relation between the second ratio and the fifth threshold.
In a third aspect, there is provided an information determining apparatus including: at least one processor, a memory for storing instructions executable by the processor; wherein the processor is configured to execute instructions to implement a method as provided by the first aspect and any one of its possible implementations.
In a fourth aspect, a computer readable storage medium is provided, which when executed by a processor of an information determining apparatus, enables the information determining apparatus to perform a method as provided by the first aspect and any possible implementation thereof.
In a fifth aspect, there is provided a computer program product comprising instructions which, when run on a computer, enable the computer to perform the method provided by the first aspect and any one of its possible embodiments.
In a sixth aspect, there is provided a chip system comprising: a processor and interface circuit; interface circuit for receiving computer program or instruction and transmitting to processor; the processor is configured to execute a computer program or instructions to cause the chip system to perform a method as provided in the first aspect and any one of its possible embodiments described above.
The technical effects of any one of the embodiments of the second aspect to the sixth aspect may be referred to the technical effects of the different embodiments of the first aspect, and are not described herein.
Drawings
FIG. 1 is a schematic diagram of an information determining system according to the present application;
FIG. 2 is a schematic flow chart of an information determining method according to the present application;
FIG. 3 is a flow chart of another information determining method according to the present application;
FIG. 4 is a flowchart of another information determining method according to the present application;
FIG. 5 is a flowchart of another information determining method according to the present application;
FIG. 6 is a flowchart of another information determining method according to the present application;
fig. 7 is a schematic structural diagram of an information determining apparatus according to the present application;
fig. 8 is a schematic structural diagram of still another information determining apparatus provided by the present application.
Detailed Description
In the description of the present application, unless otherwise indicated, "a plurality" means two or more than two. "at least one of" or the like means any combination of these items, including any combination of single item(s) or plural items(s). For example, at least one (one) of a, b, or c may represent: a, b, c, a-b, a-c, b-c, or a-b-c, wherein a, b, c may be single or plural.
In addition, in order to facilitate the clear description of the technical solution of the embodiments of the present application, in the embodiments of the present application, the words "first", "second", etc. are used to distinguish the same item or similar items having substantially the same function and effect. It will be appreciated by those of skill in the art that the words "first," "second," and the like do not limit the amount and order of execution, and that the words "first," "second," and the like do not necessarily differ.
Meanwhile, in the embodiments of the present application, words such as "exemplary" or "such as" are used to mean serving as examples, illustrations or explanations. Any embodiment or design described herein as "exemplary" or "e.g." in an embodiment should not 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 that may be readily understood.
It is appreciated that reference throughout this specification to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the present application. Thus, various embodiments are not necessarily referring to the same embodiments throughout the specification. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. It should be understood that, in various embodiments of the present application, the sequence number of each process does not mean that the execution sequence of each process should be determined by the function and the internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.
It is to be understood that, in the present application, "when …", "if" and "if" all refer to the corresponding process being performed under some objective condition, and are not limited in time, nor do they require that there be any judgment in the implementation, nor are they meant to imply any other limitation.
It can be appreciated that some optional features of the embodiments of the present application may be implemented independently in some scenarios, independent of other features, such as the scheme on which they are currently based, to solve corresponding technical problems, achieve corresponding effects, or may be combined with other features according to requirements in some scenarios. Accordingly, the device provided in the embodiment of the present application may also implement these features or functions accordingly, which will not be described herein.
In the present application, the same or similar parts between the embodiments may be referred to each other unless specifically stated otherwise. In the embodiments of the present application and the implementation methods in the embodiments, if there is no special description and logic conflict, terms and/or descriptions between different embodiments and between implementation methods in the embodiments have consistency and may be mutually cited, and technical features in the different embodiments and the implementation methods in the embodiments may be combined to form a new embodiment, implementation method, or implementation method according to the inherent logic relationship. The following embodiments of the present application are not intended to limit the scope of the present application.
Fig. 1 is a schematic diagram of an architecture of an information determining system provided by the present application, and the technical solution of the embodiment of the present application may be applied to the information determining system shown in fig. 1, where, as shown in fig. 1, the information determining system 10 includes an information determining apparatus 11 and an electronic device 12.
The information determining apparatus 11 is directly connected to the electronic device 12 or indirectly connected to the electronic device 12, and in this connection relationship, the connection may be wired or wireless.
The information determining means 11 may be arranged to receive data from the electronic device 12.
The electronic device 12 may be used to send data to the information determining means 11.
The information determining apparatus 11 and the electronic device 12 may be independent devices or may be integrated into the same device, which is not particularly limited in the present application.
When the information determining apparatus 11 and the electronic device 12 are integrated in the same device, the communication manner between the information determining apparatus 11 and the electronic device 12 is communication between the internal modules of the device. In this case, the communication flow therebetween is the same as "in the case where the information determining apparatus 11 and the electronic device 12 are independent of each other".
In the following embodiments provided by the present application, the present application is described taking an example in which the information determining apparatus 11 and the electronic device 12 are provided independently of each other.
In practical applications, the information determining method provided in the embodiment of the present application may be applied to the information determining apparatus 11, or may be applied to an apparatus included in the information determining apparatus 11.
The information determination method provided by the embodiment of the present application will be described below by taking an example in which the information determination method is applied to the information determination apparatus 11 with reference to the drawings.
Fig. 2 is a flow chart of an information determining method provided by the present application, as shown in fig. 2, the method includes the following steps:
s201, the information determining device obtains the area information and the target network health information of each preset area in a plurality of preset areas in a preset time period.
The regional information comprises a user quantity set, an average income per user (average revenue per user, ARPU) set and a regional area, wherein the user quantity set comprises the user quantity of a first user and the user quantity of a second user, the ARPU set comprises the ARPU of the first user and the ARPU of the second user, the first user is a fifth generation (5th generation,5G) mobile communication network user in a plurality of resident users, the second user is a user except the first user in the plurality of resident users, and the target network health information is used for representing network coverage condition and network quality condition.
It should be noted that the preset time period may be from 1 month/day 2020 to 2 months/day 1, or the preset time period may be from 1 month/day 2020 to 4 months/day 1, or the preset time period may be from 1 month/day 2020 to 7 months/day 1, which is not limited in this application.
The preset area may be an administrative scope of a county, or the preset area may be an administrative scope of a city, or the preset area may be a rectangular area, or the preset area may be a circular area, which is not particularly limited in the present application.
The resident user in a preset area may be a user whose resident duration in the preset area is greater than the resident duration threshold in the preset area in a preset time period, for example, the resident duration threshold may be 20 days in the preset time period of 2020, 1 month and 1 day-2020, 2 months and 1 day, and for example, the resident duration threshold may be 70 days in the preset time period of 2020, 1 month and 1 day-2020, 4 months.
The target network health information may include good network coverage and good network quality, good network coverage and poor network quality, poor network coverage and good network quality, or poor network coverage and poor network quality, and of course, the target network health information may be other information capable of characterizing the network coverage condition and the network quality condition, which is not particularly limited in the present application.
As a possible implementation manner, in combination with fig. 1, the information determining apparatus receives a message from the electronic device, where the message includes area information and target network health information of each of a plurality of preset areas within a preset time period, and the message determining apparatus acquires, from the message, the area information and the target network health information of each of the plurality of preset areas within the preset time period.
As still another possible implementation manner, in connection with fig. 1, the information determining apparatus receives a message from the electronic device, where the message includes area information of each of a plurality of preset areas in a preset time period and a plurality of network information sets of each of the plurality of preset areas in the preset time period, and determines a first ratio of each preset area and a second ratio of each preset area based on the plurality of network information sets of each preset area; and determining the target network health information of each preset area according to the first ratio of each preset area, the second ratio of each preset area, the fourth threshold, the fifth threshold and the fourth mapping relation.
It should be noted that, for a specific description of this possible implementation manner, reference may be made to the related description in the subsequent part of the specific embodiment of the present application, which is not described herein.
S202, the information determining device determines the value of each preset area according to the area information of each preset area.
As one possible implementation manner, the information determining device determines a target first value of each preset area according to the user quantity set and the area of the area in the area information of each preset area; determining a target second value of each preset area according to the ARPU set and the area of the area in the area information of each preset area; taking the weighted sum of the target first value and the target second value of each preset area as the value of each preset area.
It should be noted that, for a specific description of this possible implementation manner, reference may be made to the related description in the subsequent part of the specific embodiment of the present application, which is not described herein.
S203, the information determining device determines target benefit improving measure information of a target preset area after a preset time period according to the first mapping relation and the target network health information of the target preset area in the plurality of preset areas.
The first mapping relation comprises a one-to-one correspondence relation between a plurality of network health information and a plurality of benefit improvement measure information, and the value of the target preset area is larger than a first threshold.
It should be noted that, taking the example that the target network health information includes good network coverage and good network quality, good network coverage and poor network quality, poor network coverage and good network quality, or poor network coverage and poor network quality, table 1 is an example of a first mapping relationship provided in the present application.
Table 1: first mapping relation example
The first threshold may be 80 minutes, or the first threshold may be 70 minutes, or the first threshold may be 75 minutes, which is not particularly limited in the present application.
As a possible implementation manner, taking the above table 1 as an example, if the target network health information of a certain preset area is poor in network coverage and good in network quality, the information determining apparatus searches for the benefit improving measure information corresponding to the poor network coverage and good in network quality in the table 1, and takes the construction network action as the main, for example, site planning and construction deployment are performed on a part of the area with weak coverage and insufficient deep coverage, and user experience expected management and value experience feasibility early warning is performed on the part of the area with coverage in the area to push the market, so that the duration propaganda range is ensured to keep the network coverage sufficient and the reduced interference is determined as the target benefit improving measure information of the preset area.
Based on the scheme, the value of each preset area is determined based on the area information of each preset area by acquiring the area information and the target network health information of each preset area in a preset time period, and the target benefit improvement measure information of the target preset area after the preset time period is determined according to the first mapping relation and the target network health information of the target preset area with the value larger than a first threshold value in the preset areas. Compared with the existing scheme of determining corresponding measure information based on the coverage capacity aspect, the capacity aspect and the use scene aspect of the communication network in the preset area, the scheme of the application can comprehensively consider the value and the network health of the preset area because the area information comprises the user quantity set, the ARPU set and the area, and the target benefit improving measure information of the target preset area with the value larger than the first threshold value is determined on the basis, so that the corresponding target benefit improving measure information can be executed for the target preset area, the benefit of the communication network in the preset area can be effectively improved, and the output input ratio is as large as possible.
The information determining method provided by the present application is generally described above, and the information determining method provided by the present application will be further described below with reference to the accompanying drawings.
In one design, fig. 3 is a schematic flow chart of another information determining method provided by the present application, and as shown in fig. 3, S202 provided in the specific embodiment of the present application may specifically include the following steps:
s301, the information determining device determines a target first value of each preset area according to the user quantity set and the area of the area in the area information of each preset area.
As one possible implementation manner, the information determining device determines a trivalent value index and a tetravalent value index of each preset area, and determines an average trivalent value index and an average tetravalent value index of a plurality of preset areas; the information determining device determines a target first value of each preset area according to the average third value index, the average fourth value index, the third value index of each preset area, the fourth value index of each preset area and the second mapping relation.
It should be noted that, for a specific description of this possible implementation manner, reference may be made to the related description in the subsequent part of the specific embodiment of the present application, which is not described herein.
S302, the information determining device determines a target second value of each preset area according to the ARPU set and the area of the area in the area information of each preset area.
As one possible implementation manner, the information determining device determines a fifth value index and a hexavalent value index of each preset area, and determines an average fifth value index and an average hexavalent value index of the plurality of preset areas; the information determining means determines the target second value of each preset area based on the average fifth value index, the average sixth value index, the fifth value index of each preset area, the sixth value index of each preset area, and the third mapping relation.
It should be noted that, for a specific description of this possible implementation manner, reference may be made to the related description in the subsequent part of the specific embodiment of the present application, which is not described herein.
S303, the information determining device takes the weighted sum of the target first value and the target second value of each preset area as the value of each preset area.
It should be noted that the weight of the target first value may be 0.4, the weight of the target second value may be 0.6, or the weight of the target first value may be 0.3, and the weight of the target second value may be 0.7.
As a possible implementation manner, taking the weight of the target first value as 0.4 and the weight of the target second value as 0.6 as an example, if the target first value of a preset area is 90 minutes and the target second value is 80 minutes, the information determining device takes 90×0.4+80×0.6=36+48=84 minutes as the value of the preset area.
Based on this scheme, a scheme of determining the value of each preset area from the area information of each preset area can be implemented by determining the target first value and the target second value of each preset area and then taking the weighted sum of the target first value and the target second value of each preset area as the value of each preset area.
In one design, fig. 4 is a schematic flow chart of another information determining method provided by the present application, as shown in fig. 4, S301 provided in the specific embodiment of the present application may specifically include the following steps:
s401, the information determining device determines a third value index and a fourth value index of each preset area.
The third value index is the ratio of the number of users of the first user in each preset area to the area of each preset area, and the fourth value index is the ratio of the number of users of the second user in each preset area to the area of each preset area.
As a possible implementation manner, the number of users of the first user is 10000, the number of users of the second user is 20000, and the area of the area is 10 square kilometers (km) 2 ) For example, the information determining means takes 10000/10=1000 as the third value index of the one preset area, and the information determining means takes 20000/10=2000 as the fourth value index of the one preset area.
S402, the information determining device determines an average third value index and an average fourth value index of a plurality of preset areas.
The average third value index is the ratio of the sum of third value indexes of a plurality of preset areas to the number of the plurality of preset areas, and the average fourth value index is the ratio of the sum of fourth value indexes of the plurality of preset areas to the number of the plurality of preset areas.
As one possible implementation manner, taking the number of the plurality of preset areas as 3, the trivalent value index of the first preset area as 1000, the tetravalent value index as 2000, the trivalent value index of the second preset area as 3000, the tetravalent value index as 4000, the trivalent value index of the third preset area as 5000, the tetravalent value index as 6000 as an example, the information determining device takes (1000+3000+5000)/3=3000 as the average trivalent value index of the plurality of preset areas, and the information determining device takes (2000+4000+6000)/3=4000 as the average tetravalent value index of the plurality of preset areas.
S403, the information determining device determines the target first value of each preset area according to the average third value index, the average fourth value index, the third value index of each preset area, the fourth value index of each preset area and the second mapping relation.
The second mapping relation comprises a plurality of first magnitude relation groups and a plurality of first magnitude relations, the first magnitude relation groups comprise a first magnitude relation and a second magnitude relation, the first magnitude relation is a magnitude relation between a third magnitude index and an average third magnitude index, and the second magnitude relation is a magnitude relation between a fourth magnitude index and an average fourth magnitude index.
It should be noted that table 2 provides a second mapping relationship example for the present application.
Table 2: second mapping relation
As a possible implementation manner, taking the above table 2 as an example, if the average trivalent value index is 2000, the average tetravalent value index is 3000, the trivalent value index of one preset area is 1000, the tetravalent value index is 2000, the information determining device determines that the trivalent value index of the one preset area is less than the average trivalent value index, the tetravalent value index is less than the average tetravalent value index, and further, the information determining device determines that the target first value of the one preset area is 60 minutes.
Based on the scheme, by determining the average trivalent value index and the average tetravalent value index of the plurality of preset areas, the trivalent value index and the tetravalent value index of each preset area and then determining the target first value of the preset area based on the average trivalent value index, the average tetravalent value index, the trivalent value index and the tetravalent value index and the second mapping relation, the scheme of determining the target first value of each preset area according to the user number set and the area of the area in the area information of each preset area can be realized.
In one design, fig. 5 is a schematic flow chart of another information determining method provided by the present application, and as shown in fig. 5, S302 provided in a specific embodiment of the present application may specifically include the following steps:
s501, the information determining device determines a fifth value index and a hexavalent value index of each preset area.
The fifth value index is the ratio of the ARPU of the first user in each preset area to the area of each preset area, and the sixth value index is the ratio of the ARPU of the second user in each preset area to the area of each preset area.
As a possible implementation manner, the ARPU of the first user in a preset area is taken as 100, the ARPU of the second user is taken as 200, and the area is 10 square kilometers (km) 2 ) For example, the information determining means takes 100/10=10 as the fifth value index of the one preset area, and the information determining means takes 200/10=20 as the sixth value index of the one preset area.
S502, the information determining device determines an average fifth value index and an average hexavalent value index of a plurality of preset areas.
The average fifth value index is the ratio of the sum of the fifth value indexes of the plurality of preset areas to the number of the plurality of preset areas, and the average hexavalent value index is the ratio of the sum of the hexavalent value indexes of the plurality of preset areas to the number of the plurality of preset areas.
As one possible implementation manner, taking the number of the plurality of preset areas as 3, the fifth value index of the first preset area as 10, the hexavalent value index as 20, the fifth value index of the second preset area as 30, the hexavalent value index as 40, the fifth value index of the third preset area as 50, the hexavalent value index as 60 as an example, the information determining apparatus takes (10+30+50)/3=30 as an average fifth value index of the plurality of preset areas, and the information determining apparatus takes (20+40+60)/3=40 as an average hexavalent value index of the plurality of preset areas.
S503, the information determining device determines a target second valence of each preset area according to the average fifth valence index, the average hexavalent value index, the fifth valence index of each preset area, the hexavalent value index of each preset area and the third mapping relation.
The third mapping relation comprises a plurality of second magnitude relation groups and a plurality of second magnitude relations, the second magnitude relation groups comprise a third magnitude relation and a fourth magnitude relation, the third magnitude relation is a magnitude relation between a fifth value index and an average fifth value index, and the fourth magnitude relation is a magnitude relation between a hexavalent value index and an average hexavalent value index.
It should be noted that, table 3 provides a third mapping relationship example for the present application.
Table 3: third mapping relation
As a possible implementation manner, taking the above table 3 as an example, if the average fifth value index is 20, the average hexavalent value index is 30, the fifth value index of one preset area is 10, the hexavalent value index is 20, the information determining apparatus determines that the fifth value index of the one preset area is less than the average fifth value index, the hexavalent value index is less than the average hexavalent value index, and further, the information determining apparatus determines that the target second value of the one preset area is 60 minutes.
Based on the scheme, by determining the average fifth value index and the average hexavalent value index of the plurality of preset regions, the fifth value index and the hexavalent value index of each preset region, and then determining the target second value of the preset region based on the average fifth value index, the average hexavalent value index, the fifth value index and the hexavalent value index and the third mapping relation, the scheme of determining the target second value of each preset region according to the ARPU set and the region area in the region information of each preset region can be realized.
In one design, fig. 6 is a flowchart of another information determining method provided by the present application, and as shown in fig. 6, in a specific embodiment of the present application, the obtaining target network health information of each of a plurality of preset areas within a preset time period may specifically include the following steps:
s601, the information determining device obtains a plurality of network information sets of each preset area in a plurality of preset areas in a preset time period.
Wherein the set of network information includes a signal to interference plus noise ratio (aignal to interference and noise ratio, SINR) and a reference signal received power (reference signal receiving power, RSRP).
As a possible implementation manner, in connection with fig. 1, the information determining apparatus receives a message from the electronic device, where the message includes a plurality of sets of network information of each of a plurality of preset areas within a preset time period, and the information determining apparatus obtains, from the message, the plurality of sets of network information of each of the plurality of preset areas within the preset time period.
S602, the information determining device determines a first ratio and a second ratio of each preset area.
The first ratio is a ratio of the number of target SINR to the number of the plurality of SINR, the target SINR is an SINR greater than a second threshold value in the plurality of SINR, the second ratio is a ratio of the number of target RSRP to the number of the plurality of RSRP, and the target RSRP is an RSRP greater than a third threshold value in the plurality of RSRP.
The second threshold may be 0, or the second threshold may be 1, or the second threshold may be 0.5, which is not particularly limited in the present application.
The third threshold may be-105 (decibel-milliwatts, dbm), or the third threshold may be-100 dbm, or the third threshold may be-110 dbm, which is not particularly limited in the present application.
As a possible implementation manner, the information determining device compares each of the plurality of SINRs in one preset area with the second threshold, if one SINR is greater than the second threshold, the information determining device determines the SINR as a target SINR, and obtains the number of target SINRs, and further, the information determining device determines a ratio of the number of target SINRs to the number of the plurality of SINRs as a first ratio. The information determining device compares each of a plurality of RSRPs of a preset area with a third threshold value, if one RSRP is larger than the third threshold value, the information determining device determines the RSRP as a target RSRP to obtain the number of target RSRPs, and further, the information determining device determines the ratio of the number of target RSRPs to the number of the plurality of RSRPs as a second ratio.
And S603, the information determining device determines the target network health information of each preset area according to the first ratio, the second ratio, the fourth threshold, the fifth threshold and the fourth mapping relation.
The fourth mapping relationship comprises a one-to-one correspondence relationship between a plurality of third magnitude relationship groups and a plurality of network health information, the third magnitude relationship groups comprise a fifth magnitude relationship and a sixth magnitude relationship, the fifth magnitude relationship is a magnitude relationship between the first ratio and the fourth threshold, and the sixth magnitude relationship is a magnitude relationship between the second ratio and the fifth threshold.
It should be noted that the fourth threshold may be 9/10, or the fourth threshold may be 8/10, or the fourth threshold may be 7/10, which is not particularly limited in the present application.
The fifth threshold may be 9/10, or the fifth threshold may be 8/10, or the fifth threshold may be 7/10, which is not particularly limited in the present application.
Table 4 shows a fourth mapping relationship example provided by the present application.
Table 4: fourth mapping relation
As a possible implementation manner, taking the above table 4 as an example, if the fourth threshold is 9/10, the fifth threshold is 9/10, the first ratio of a preset area is 7/10, the second ratio is 1/2, the information determining device determines that the first ratio of the preset area is less than the fourth threshold, the second ratio is less than the fifth threshold, and further, the information determining device determines that the target network health information of the preset area is poor in network coverage and poor in network quality.
Based on the scheme, the target network health information of each preset area in the preset time period can be obtained by determining the first ratio and the second ratio of the preset areas and then determining the network health information of the preset areas based on the first ratio, the second ratio, the fourth threshold, the fifth threshold and the fourth mapping relation.
The above description has been made of the scheme provided by the embodiment of the present application mainly from the viewpoint of performing the information determining method by the information determining apparatus. In order to realize the above functions, the information determining device includes a hardware structure and/or a software module for executing the respective functions. Those of skill in the art will readily appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as hardware or combinations of hardware and computer software. Whether a function is implemented as hardware or computer software driven hardware 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.
The embodiment of the present application may divide the functional modules of the information determining apparatus according to the above method example, for example, each functional module may be divided corresponding to each function, or two or more functions may be integrated in one processing module. The integrated modules may be implemented in hardware or in software functional modules. Optionally, the division of the modules in the embodiment of the present application is schematic, which is merely a logic function division, and other division manners may be implemented in practice. Further, "module" herein may refer to an application-specific integrated circuit (ASIC), an electrical circuit, a processor and memory that execute one or more software or firmware programs, an integrated logic circuit, and/or other devices that can provide the above-described functionality.
Fig. 7 shows a schematic configuration of an information determining apparatus in the case of using functional block division. As shown in fig. 7, the information determining apparatus 70 includes an acquisition module 701 and a processing module 702.
In some embodiments, the information determining apparatus 70 may further include a storage module (not shown in fig. 7) for storing program instructions and data.
The acquiring module 701 is configured to acquire area information and target network health information of each of a plurality of preset areas within a preset time period; the regional information comprises a user quantity set, an ARPU set and a regional area, wherein the user quantity set comprises the user quantity of a first user and the user quantity of a second user, the ARPU set comprises the ARPU of the first user and the ARPU of the second user, the first user is a 5G user in a plurality of resident users, the second user is a user except the first user in the plurality of resident users, and the target network health information is used for representing network coverage conditions and network quality conditions; a processing module 702, configured to determine a value of each preset area according to the area information of each preset area; the processing module 702 is further configured to determine target revenue improvement measure information of a target preset area after a preset period of time according to the first mapping relationship and target network health information of the target preset area in the plurality of preset areas; the first mapping relationship comprises a one-to-one correspondence relationship between a plurality of network health information and a plurality of benefit promoting measure information, and the value of the target preset area is larger than a first threshold.
Optionally, the processing module 702 is configured to determine a value of each preset area according to the area information of each preset area, including: determining a target first value of each preset area according to the user quantity set and the area of the area in the area information of each preset area; determining a target second value of each preset area according to the ARPU set and the area of the area in the area information of each preset area; taking the weighted sum of the target first value and the target second value of each preset area as the value of each preset area.
Optionally, the processing module 702 is further configured to determine, according to the set of the number of users and the area of the area in the area information of each preset area, a target first value of each preset area, including: determining a third value index and a fourth value index of each preset area; the third value index is the ratio of the number of users of the first user of each preset area to the area of each preset area, and the fourth value index is the ratio of the number of users of the second user of each preset area to the area of each preset area; determining an average third value index and an average fourth value index of a plurality of preset areas; the average trivalent value index is the ratio of the sum of the trivalent value indexes of the plurality of preset areas to the number of the plurality of preset areas, and the average tetravalent value index is the ratio of the sum of the tetravalent value indexes of the plurality of preset areas to the number of the plurality of preset areas; determining a target first valence of each preset area according to the average third valence index, the average fourth valence index, the third valence index of each preset area, the fourth valence index of each preset area and the second mapping relation; the second mapping relation comprises a one-to-one correspondence relation between a plurality of first magnitude relation groups and a plurality of first valence values, the first magnitude relation groups comprise a first magnitude relation and a second magnitude relation, the first magnitude relation is a magnitude relation between a third valence value index and an average third valence value index, and the second magnitude relation is a magnitude relation between a fourth valence value index and an average fourth valence value index.
Optionally, the processing module 702 is further configured to determine, according to the ARPU set and the area of the region in the region information of each preset region, a target second value of each preset region, including: determining a fifth value index and a hexavalent value index of each preset area; the fifth value index is the ratio of the ARPU of the first user of each preset area to the area of each preset area, and the hexavalent value index is the ratio of the ARPU of the second user of each preset area to the area of each preset area; determining an average fifth value index and an average hexavalent value index of a plurality of preset areas; the average fifth value index is the ratio of the sum of the fifth value indexes of the plurality of preset areas to the number of the plurality of preset areas, and the average hexavalent value index is the ratio of the sum of the hexavalent value indexes of the plurality of preset areas to the number of the plurality of preset areas; determining a target second valence of each preset area according to the average fifth valence index, the average hexavalent value index, the fifth valence index of each preset area, the hexavalent value index of each preset area and the third mapping relation; the third mapping relation comprises a one-to-one correspondence relation between a plurality of second magnitude relation groups and a plurality of second valence values, the second magnitude relation groups comprise a third magnitude relation and a fourth magnitude relation, the third magnitude relation is a magnitude relation between a fifth valence value index and an average fifth valence value index, and the fourth magnitude relation is a magnitude relation between a hexavalent value index and an average hexavalent value index.
Optionally, the acquiring module 701 is configured to acquire target network health information of each of a plurality of preset areas within a preset time period, including: acquiring a plurality of network information sets of each preset area in a plurality of preset areas in a preset time period; the network information set comprises SINR and RSRP; determining a first ratio and a second ratio of each preset area; the first ratio is a ratio of a number of target SINR to a number of the plurality of SINR, the target SINR is an SINR of the plurality of SINR that is greater than a second threshold, the second ratio is a ratio of a number of target RSRP to a number of the plurality of RSRP, and the target RSRP is an RSRP of the plurality of RSRP that is greater than a third threshold; determining target network health information of each preset area according to the first ratio, the second ratio, the fourth threshold, the fifth threshold and the fourth mapping relation; the fourth mapping relation comprises a one-to-one correspondence relation between a plurality of third magnitude relation groups and a plurality of network health information, the third magnitude relation groups comprise a fifth magnitude relation and a sixth magnitude relation, the fifth magnitude relation is a magnitude relation between the first ratio and the fourth threshold, and the sixth magnitude relation is a magnitude relation between the second ratio and the fifth threshold.
All relevant contents of each step related to the above method embodiment may be cited to the functional descriptions of the corresponding functional modules, which are not described herein.
In the case where the functions of the above-described functional modules are implemented in the form of hardware, fig. 8 shows a schematic configuration of an information determination apparatus. As shown in fig. 8, the information determining apparatus 80 includes a processor 801, a memory 802, and a bus 803. The processor 801 and the memory 802 may be connected by a bus 803.
The processor 801 is a control center of the information determination device 80, and may be one processor or a collective term of a plurality of processing elements. For example, the processor 801 may be a general-purpose central processing unit (central processing unit, CPU), or may be another general-purpose processor. Wherein the general purpose processor may be a microprocessor or any conventional processor or the like.
As one example, processor 801 may include one or more CPUs, such as CPU 0 and CPU 1 shown in fig. 8.
Memory 802 may be, but is not limited to, a read-only memory (ROM) or other type of static storage device that can store static information and instructions, a random access memory (random access memory, RAM) or other type of dynamic storage device that can store information and instructions, or an electrically erasable programmable read-only memory (EEPROM), magnetic disk storage or other magnetic storage device, 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.
As a possible implementation, the memory 802 may exist separately from the processor 801, and the memory 802 may be connected to the processor 801 through the bus 803 for storing instructions or program code. The processor 801, when calling and executing instructions or program code stored in the memory 802, can implement the information determination method provided by the embodiment of the present application.
In another possible implementation, the memory 802 may also be integrated with the processor 801.
Bus 803 may be an industry standard architecture (Industry Standard Architecture, ISA) bus, a peripheral component interconnect (Peripheral Component Interconnect, PCI) bus, or an extended industry standard architecture (Extended Industry Standard Architecture, EISA) bus, among others. The bus may be classified as an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown in fig. 8, but not only one bus or one type of bus.
It is to be noted that the structure shown in fig. 8 does not constitute a limitation of the information determining apparatus 80. The information determining apparatus 80 may include more or less components than shown in fig. 8, or may combine certain components, or may be a different arrangement of components.
As an example, in connection with fig. 7, the acquisition module 701 and the processing module 702 in the information determination apparatus 70 realize the same functions as those of the processor 801 in fig. 8.
Optionally, as shown in fig. 8, the information determining apparatus 80 provided in the embodiment of the present application may further include a communication interface 804.
A communication interface 804 for connecting with other devices via a communication network. The communication network may be an ethernet, a radio access network, a wireless local area network (wireless local area networks, WLAN), etc. The communication interface 804 may include a receiving unit for receiving data and a transmitting unit for transmitting data.
In a possible implementation manner, in the information determining apparatus 80 provided in the embodiment of the present application, the communication interface 804 may also be integrated in the processor 801, which is not limited in particular by the embodiment of the present application.
As a possible product form, the information determining apparatus of the embodiment of the present application may be further implemented using: one or more field programmable gate arrays (field programmable gate array, FPGA), programmable logic devices (programmable logic device, PLD), controllers, state machines, gate logic, discrete hardware components, any other suitable circuit or circuits capable of performing the various functions described throughout this application.
From the above description of embodiments, it will be apparent to those skilled in the art that the foregoing functional unit divisions are merely illustrative for convenience and brevity of description. In practical applications, the above-mentioned function allocation may be performed by different functional units, i.e. the internal structure of the device is divided into different functional units, as needed, to perform all or part of the functions described above. The specific working processes of the above-described systems, devices and units may refer to the corresponding processes in the foregoing method embodiments, which are not described herein.
The embodiment of the present application also provides a computer-readable storage medium, on which a computer program or instructions are stored, which when executed cause a computer to perform the steps in the method flow shown in the above-mentioned method embodiment.
Embodiments of the present application provide a computer program product comprising instructions which, when run on a computer, cause the computer to perform the steps of the method flow shown in the method embodiments described above.
An embodiment of the present application provides a chip system, including: a processor and interface circuit; interface circuit for receiving computer program or instruction and transmitting to processor; the processor is configured to execute the computer program or instructions to cause the chip system to perform the steps of the method flow shown in the method embodiments described above.
The computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the computer-readable storage medium would include the following: electrical connections having one or more wires, portable computer diskette, hard disk. Random access Memory (Random Access Memory, RAM), read-Only Memory (ROM), erasable programmable Read-Only Memory (Erasable Programmable Read Only Memory, EPROM), registers, hard disk, optical fiber, portable compact disc Read-Only Memory (CD-ROM), an optical storage device, a magnetic storage device, or any other form of computer-readable storage medium suitable for use by a person or persons of skill 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. In the alternative, the storage medium may be integral to the processor. The processor and the storage medium may reside in a special purpose ASIC. In embodiments of the present application, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
Since the information determining apparatus, the computer readable storage medium and the computer program product provided in this embodiment can be applied to the information determining method provided in this embodiment, the technical effects obtained by the information determining apparatus, the computer readable storage medium and the computer program product can also refer to the method embodiment described above, and the embodiments of the present application are not described herein again.
Although the application is described herein in connection with various embodiments, other variations to the disclosed embodiments can be understood and effected by those skilled in the art in practicing the claimed application, from a study of the drawings, the disclosure, and the appended claims. In the claims, the word "comprising" does not exclude other elements or steps, and the "a" or "an" does not exclude a plurality. A single processor or other unit may fulfill the functions of several items recited in the claims. The mere fact that certain measures are recited in mutually different dependent claims does not indicate that a combination of these measures cannot be used to advantage.
Although the application has been described in connection with specific features and embodiments thereof, it will be apparent that various modifications and combinations can be made without departing from the spirit and scope of the application. Accordingly, the specification and drawings are merely exemplary illustrations of the present application as defined in the appended claims and are considered to cover any and all modifications, variations, combinations, or equivalents that fall within the scope of the application. It will be apparent to those skilled in the art that various modifications and variations can be made to the present application without departing from the spirit or scope of the application. Thus, it is intended that the present application also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.

Claims (12)

1. An information determining method, the method comprising:
acquiring area information and target network health information of each preset area in a plurality of preset areas in a preset time period; the area information comprises a user quantity set, an average income ARPU set and an area, wherein the user quantity set comprises the user quantity of a first user and the user quantity of a second user, the ARPU set comprises the ARPU of the first user and the ARPU of the second user, the first user is a fifth generation mobile communication network 5G user in a plurality of resident users, the second user is a user except the first user in the plurality of resident users, and the target network health information is used for representing network coverage conditions and network quality conditions;
determining the value of each preset area according to the area information of each preset area;
determining target revenue improvement measure information of a target preset area after the preset time period according to a first mapping relation and the target network health information of the target preset area in the preset areas; the first mapping relation comprises a one-to-one correspondence relation between a plurality of network health information and a plurality of benefit improvement measure information, and the value of the target preset area is larger than a first threshold value.
2. The method of claim 1, wherein determining the value of each preset area according to the area information of each preset area comprises:
determining a target first value of each preset area according to the user quantity set and the area of the area in the area information of each preset area;
determining a target second value of each preset area according to the ARPU set and the area of the area in the area information of each preset area;
and taking the weighted sum of the target first value and the target second value of each preset area as the value of each preset area.
3. The method according to claim 2, wherein the determining the target first value of each preset area according to the set of the number of users and the area of the area in the area information of each preset area includes:
determining a third value index and a fourth value index of each preset area; the third value index is the ratio of the number of users of the first user of each preset area to the area of each preset area, and the fourth value index is the ratio of the number of users of the second user of each preset area to the area of each preset area;
Determining an average third value index and an average fourth value index of the plurality of preset areas; the average third value index is the ratio of the sum of the third value indexes of the plurality of preset areas to the number of the plurality of preset areas, and the average fourth value index is the ratio of the sum of the third value indexes of the plurality of preset areas to the number of the plurality of preset areas;
determining a target first valence of each preset area according to the average third valence index, the average fourth valence index, the third valence index of each preset area, the fourth valence index of each preset area and a second mapping relation; the second mapping relation comprises a plurality of first magnitude relation groups and a plurality of first magnitude relations, the first magnitude relation groups comprise a first magnitude relation and a second magnitude relation, the first magnitude relation is a magnitude relation between the third magnitude index and the average third magnitude index, and the second magnitude relation is a magnitude relation between the fourth magnitude index and the average fourth magnitude index.
4. The method according to claim 2, wherein the determining the target second value of each preset area according to the ARPU set and the area of the area in the area information of each preset area includes:
Determining a fifth value index and a hexavalent value index of each preset area; the fifth value index is the ratio of the ARPU of the first user of each preset area to the area of each preset area, and the hexavalent value index is the ratio of the ARPU of the second user of each preset area to the area of each preset area;
determining an average fifth value index and an average hexavalent value index of the plurality of preset areas; the average fifth value index is the ratio of the sum of the fifth value indexes of the preset areas to the number of the preset areas, and the average hexavalent value index is the ratio of the sum of the hexavalent value indexes of the preset areas to the number of the preset areas;
determining a target second valence of each preset area according to the average fifth valence index, the average sixth valence index, the fifth valence index of each preset area, the sixth valence index of each preset area and a third mapping relation; the third mapping relation comprises a one-to-one correspondence relation between a plurality of second magnitude relation groups and a plurality of second valence values, the second magnitude relation groups comprise a third magnitude relation and a fourth magnitude relation, the third magnitude relation is a magnitude relation between the fifth valence value index and the average fifth valence value index, and the fourth magnitude relation is a magnitude relation between the hexavalent value index and the average hexavalent value index.
5. The method according to any one of claims 1-4, wherein obtaining the target network health information for each of a plurality of preset areas within the preset time period comprises:
acquiring a plurality of network information sets of each preset area in the preset areas in the preset time period; the network information set comprises a signal-to-interference-and-noise ratio SINR and a reference signal received power RSRP;
determining a first ratio and a second ratio of each preset area; the first ratio is a ratio of a number of target SINR to a number of a plurality of SINR, the target SINR is an SINR greater than a second threshold value in the plurality of SINR, the second ratio is a ratio of a number of target RSRP to a number of a plurality of RSRP, and the target RSRP is an RSRP greater than a third threshold value in the plurality of RSRP;
determining the target network health information of each preset area according to the first ratio, the second ratio, the fourth threshold, the fifth threshold and the fourth mapping relation; the fourth mapping relationship comprises a one-to-one correspondence relationship between a plurality of third magnitude relation groups and a plurality of network health information, the third magnitude relation groups comprise a fifth magnitude relation and a sixth magnitude relation, the fifth magnitude relation is a magnitude relation between the first ratio and the fourth threshold, and the sixth magnitude relation is a magnitude relation between the second ratio and the fifth threshold.
6. An information determining apparatus, characterized in that the information determining apparatus includes: the device comprises an acquisition module and a processing module;
the acquisition module is used for acquiring the area information of each preset area in a plurality of preset areas in a preset time period and the target network health information; the area information comprises a user quantity set, an average income ARPU set and an area, wherein the user quantity set comprises the user quantity of a first user and the user quantity of a second user, the ARPU set comprises the ARPU of the first user and the ARPU of the second user, the first user is a fifth generation mobile communication network 5G user in a plurality of resident users, the second user is a user except the first user in the plurality of resident users, and the target network health information is used for representing network coverage conditions and network quality conditions;
the processing module is used for determining the value of each preset area according to the area information of each preset area;
the processing module is further configured to determine target revenue improvement measure information of a target preset area after the preset time period according to a first mapping relationship and the target network health information of the target preset area in the plurality of preset areas; the first mapping relation comprises a one-to-one correspondence relation between a plurality of network health information and a plurality of benefit improvement measure information, and the value of the target preset area is larger than a first threshold value.
7. The information determining apparatus according to claim 6, wherein the processing module for determining the value of each preset area based on the area information of the each preset area includes:
determining a target first value of each preset area according to the user quantity set and the area of the area in the area information of each preset area;
determining a target second value of each preset area according to the ARPU set and the area of the area in the area information of each preset area;
and taking the weighted sum of the target first value and the target second value of each preset area as the value of each preset area.
8. The information determining apparatus according to claim 7, wherein the processing module further configured to determine the target first value for each preset area based on the set of the number of users and the area of the area in the area information of each preset area, includes:
determining a third value index and a fourth value index of each preset area; the third value index is the ratio of the number of users of the first user of each preset area to the area of each preset area, and the fourth value index is the ratio of the number of users of the second user of each preset area to the area of each preset area;
Determining an average third value index and an average fourth value index of the plurality of preset areas; the average third value index is the ratio of the sum of the third value indexes of the plurality of preset areas to the number of the plurality of preset areas, and the average fourth value index is the ratio of the sum of the third value indexes of the plurality of preset areas to the number of the plurality of preset areas;
determining a target first valence of each preset area according to the average third valence index, the average fourth valence index, the third valence index of each preset area, the fourth valence index of each preset area and a second mapping relation; the second mapping relation comprises a plurality of first magnitude relation groups and a plurality of first magnitude relations, the first magnitude relation groups comprise a first magnitude relation and a second magnitude relation, the first magnitude relation is a magnitude relation between the third magnitude index and the average third magnitude index, and the second magnitude relation is a magnitude relation between the fourth magnitude index and the average fourth magnitude index.
9. The information determining apparatus according to claim 7, wherein the processing module further configured to determine the target second value of each preset area according to the ARPU set and the area of the area in the area information of each preset area, includes:
Determining a fifth value index and a hexavalent value index of each preset area; the fifth value index is the ratio of the ARPU of the first user of each preset area to the area of each preset area, and the hexavalent value index is the ratio of the ARPU of the second user of each preset area to the area of each preset area;
determining an average fifth value index and an average hexavalent value index of the plurality of preset areas; the average fifth value index is the ratio of the sum of the fifth value indexes of the preset areas to the number of the preset areas, and the average hexavalent value index is the ratio of the sum of the hexavalent value indexes of the preset areas to the number of the preset areas;
determining a target second valence of each preset area according to the average fifth valence index, the average sixth valence index, the fifth valence index of each preset area, the sixth valence index of each preset area and a third mapping relation; the third mapping relation comprises a one-to-one correspondence relation between a plurality of second magnitude relation groups and a plurality of second valence values, the second magnitude relation groups comprise a third magnitude relation and a fourth magnitude relation, the third magnitude relation is a magnitude relation between the fifth valence value index and the average fifth valence value index, and the fourth magnitude relation is a magnitude relation between the hexavalent value index and the average hexavalent value index.
10. The information determining apparatus according to any one of claims 6 to 9, wherein the obtaining module, configured to obtain the target network health information of each of a plurality of preset areas within the preset time period, includes:
acquiring a plurality of network information sets of each preset area in the preset areas in the preset time period; the network information set comprises a signal-to-interference-and-noise ratio SINR and a reference signal received power RSRP;
determining a first ratio and a second ratio of each preset area; the first ratio is a ratio of a number of target SINR to a number of a plurality of SINR, the target SINR is an SINR greater than a second threshold value in the plurality of SINR, the second ratio is a ratio of a number of target RSRP to a number of a plurality of RSRP, and the target RSRP is an RSRP greater than a third threshold value in the plurality of RSRP;
determining the target network health information of each preset area according to the first ratio, the second ratio, the fourth threshold, the fifth threshold and the fourth mapping relation; the fourth mapping relationship comprises a one-to-one correspondence relationship between a plurality of third magnitude relation groups and a plurality of network health information, the third magnitude relation groups comprise a fifth magnitude relation and a sixth magnitude relation, the fifth magnitude relation is a magnitude relation between the first ratio and the fourth threshold, and the sixth magnitude relation is a magnitude relation between the second ratio and the fifth threshold.
11. An information determining apparatus, characterized in that the information determining apparatus includes: a processor coupled to a memory for storing a program or instructions that, when executed by the processor, cause the apparatus to perform the method of any one of claims 1 to 5.
12. A computer readable storage medium having stored thereon a computer program or instructions, which when executed cause a computer to perform the method of any of claims 1 to 5.
CN202310786846.1A 2023-06-29 2023-06-29 Information determining method, apparatus and computer readable storage medium Pending CN116668956A (en)

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