CN113950090B

CN113950090B - 5G network priority automatic adjustment method and device and electronic equipment

Info

Publication number: CN113950090B
Application number: CN202111205281.0A
Authority: CN
Inventors: 刘淦诚; 戴建东; 杨军; 黄进; 付斐; 沈凌; ***; 赵煜; 张颖
Original assignee: China United Network Communications Group Co Ltd
Current assignee: China United Network Communications Group Co Ltd
Priority date: 2021-10-15
Filing date: 2021-10-15
Publication date: 2023-04-25
Anticipated expiration: 2041-10-15
Also published as: CN113950090A

Abstract

The application provides a 5G network priority automatic adjustment method, a device and electronic equipment, wherein the method comprises the following steps: respectively establishing connection with network analysis equipment of at least two operators to obtain a target base station ID, an abnormal user proportion, a target guarantee time and a modification interval time; in the target guarantee time, acquiring a plurality of user IDs and corresponding user QCI information carried by a target base station in the modification interval time from each network analysis device at intervals of modification interval time; for a plurality of user IDs acquired from each network analysis device, sorting the user IDs from high to low according to the priority of the user QCI information, and screening out abnormal user IDs based on abnormal user proportions; and adjusting and conforming the priority of the screened abnormal user QCI information. And the QCI information of the users corresponding to different operators is adjusted to be consistent, so that the influence on other operators caused by the fact that the QCI priorities of the users are set too high by some operators is reduced.

Description

5G network priority automatic adjustment method and device and electronic equipment

Technical Field

The present disclosure relates to the field of communications technologies, and in particular, to a method and an apparatus for automatically adjusting a 5G network priority, and an electronic device.

Background

With the development of communication technology, operators develop co-construction sharing work on a 5G network, that is, two operators in cooperation construct a 5G base station sharing one, and the two operators in cooperation may bear two operators in cooperation at the same time.

In the prior art, an operator can manually set QCI (QoS Class Identifier, quality of service identifier) parameters to enable different users to obtain different service experiences, the parameters are configured in user data of an operator core network, and when data interaction between a terminal and a cooperative 5G base station is realized, both parties are required to ensure that the parameters are kept consistent in order to ensure that both parties can ensure that the parameters are kept consistent when surfing the internet through the terminal, so that the users have the same service experience.

However, the above method requires manual setting, and has low accuracy and timeliness.

Disclosure of Invention

The application provides a 5G network priority automatic adjustment method, a device and electronic equipment, which can improve the control efficiency and accuracy of QCI of users in a designated area, save human resources, improve accuracy and timeliness and improve user experience.

In a first aspect, the present application provides a method for automatically adjusting a priority of a 5G network, where the method includes: respectively establishing connection with network analysis equipment of at least two operators, wherein the network analysis equipment is used for providing base station identification numbers ID in a network, user IDs carried by base stations and user service quality class identifiers QCI information; obtaining target parameters, wherein the target parameters comprise: target base station ID, abnormal user proportion, target guarantee time and modification interval time; acquiring a plurality of user IDs carried by a target base station in the modification interval time and user QCI information corresponding to each user from each network analysis device at intervals of the modification interval time in the target guarantee time; sorting a plurality of user IDs acquired from each network analysis device according to the priority of user QCI information from high to low, and screening abnormal user IDs from the plurality of user IDs based on the abnormal user proportion; the priority of the QCI information of the abnormal user corresponding to each network analysis device is adjusted to be the same priority; the abnormal user QCI information is user QCI information corresponding to the abnormal user ID.

Optionally, the method further comprises: the priority of QCI information of other users corresponding to each network analysis device is adjusted to be the same priority; the other user QCI information is user QCI information corresponding to other user IDs except the abnormal user ID.

Optionally, the sorting the plurality of user IDs according to the priority of the user QCI information from high to low, and screening the abnormal user IDs from the plurality of user IDs based on the abnormal user proportion includes: determining the number of the screened abnormal user IDs according to the number of the plurality of the user IDs and the abnormal user proportion; sequencing the plurality of user IDs from high to low according to the priority of the user QCI information; and selecting the first N user IDs with the highest priority of the user QCI information as abnormal user IDs, wherein N is the number of the abnormal user IDs.

Optionally, selecting the first N user IDs with the highest priority of the user QCI information as the abnormal user IDs includes: in the user ID queue obtained after sequencing, if the user QCI information of the Nth user ID is the same as the user QCI information of the (n+1) th user ID, calculating the number of the user QCI information which is higher than the reference QCI information; wherein, the reference QCI information is user QCI information corresponding to the Nth user ID; subtracting the calculated number of user IDs from N, and randomly selecting M user IDs from all user IDs with the user QCI information in the queue as the reference QCI information, wherein M is the difference between N and the calculated number of user IDs.

Optionally, the method further comprises: establishing connection with instruction issuing equipment of at least two operators; the instruction issuing equipment is used for modifying user QCI information; correspondingly, adjusting the priority of the abnormal user QCI information corresponding to each network analysis device to be the same priority comprises the following steps: determining the priority of the adjusted QCI information of the abnormal user according to the priority of the current QCI information of the abnormal user of each network analysis device; generating a corresponding instruction issuing script aiming at each operator, wherein the instruction issuing script comprises the priority of the adjusted abnormal user QCI information and the corresponding abnormal user ID; and sending the instruction issuing script to corresponding instruction issuing equipment so that the instruction issuing equipment modifies the user QCI information corresponding to the abnormal user ID according to the priority of the adjusted abnormal user QCI information.

Optionally, generating a corresponding instruction issuing script for each operator includes: selecting the adjusted priority of the abnormal user QCI information from the priority of the abnormal user QCI information corresponding to each network analysis device; and judging whether the priority of the user QCI information corresponding to each abnormal user ID is consistent with the priority of the adjusted abnormal user QCI information or not for each abnormal user ID, and if not, writing the abnormal user ID into a corresponding operator instruction issuing script.

Optionally, obtaining the target parameter includes: acquiring target parameters sent by input equipment of at least two operators; correspondingly, in the target guarantee time, acquiring, from each network analysis device, a plurality of user IDs carried by a target base station in the modification interval time and user QCI information corresponding to each user at intervals of the modification interval time, including: judging whether target parameters sent by input equipment of at least two operators are consistent; if the user IDs are consistent with the user QCI information, acquiring a plurality of user IDs carried by a target base station in the modification interval time and user QCI information corresponding to each user from each network analysis device at intervals of the modification interval time in the target guarantee time; and if the input devices are inconsistent, sending reminding information so that the input devices of the at least two operators resend the target parameters.

In a second aspect, the present application further provides an apparatus for automatically adjusting 5G network priority, where the apparatus includes: the network analysis equipment is used for providing base station identification number ID in the network, user ID carried by the base station and user service quality class identifier QCI information; the first acquisition module is used for acquiring target parameters, and the target parameters comprise: target base station ID, abnormal user proportion, target guarantee time and modification interval time; the second obtaining module is used for obtaining a plurality of user IDs carried by the target base station in the modification interval time and user QCI information corresponding to each user from each network analysis device at intervals of the modification interval time in the target guarantee time; the screening module is used for sequencing a plurality of user IDs acquired from each network analysis device according to the priority of the user QCI information from high to low, and screening abnormal user IDs from the user IDs based on the abnormal user proportion; the adjusting module is used for adjusting the priority of the QCI information of the abnormal user corresponding to each network analysis device to be the consistent priority; the abnormal user QCI information is user QCI information corresponding to the abnormal user ID.

In a third aspect, the present application further provides an electronic device, including: a processor, and a memory communicatively coupled to the processor; the memory stores computer-executable instructions; the processor executes computer-executable instructions stored by the memory to implement the method of any one of the first aspects.

In a fourth aspect, the present application further provides a computer-readable storage medium storing computer-executable instructions that, when executed by a processor, are configured to implement the method for automatic adjustment of 5G network priority according to any one of the first aspects.

In summary, the present application provides a method, an apparatus, and an electronic device for automatically adjusting a 5G network priority, where the method may respectively establish connection with network analysis devices of at least two operators, and further obtain target parameters, where the target parameters may include: target base station ID, abnormal user proportion, target guarantee time and modification interval time; further, in the target guarantee time, acquiring a plurality of user IDs carried by the target base station in the modification interval time and user QCI information corresponding to each user from each network analysis device at intervals of modification interval time; then, for a plurality of user IDs acquired from each network analysis device, sorting the plurality of user IDs according to the priority of the user QCI information from high to low, and screening abnormal user IDs from the plurality of user IDs based on abnormal user proportions; further, the priority of the abnormal user QCI information corresponding to each network analysis device is adjusted to be the same priority. Therefore, the QCI information does not need to be regulated and controlled artificially in real time, the efficiency and the accuracy of controlling the user QCI information in a designated area by operators are improved, human resources are saved, the user QCI information corresponding to different operators is regulated to be consistent QCI information, the influence on other operator users caused by that certain operators set the QCI priority of the users excessively high is reduced, and the user experience is improved.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and together with the description, serve to explain the principles of the application.

Fig. 1 is an application scenario schematic diagram of a method for automatically adjusting 5G network priority according to an embodiment of the present application;

fig. 2 is a schematic flow chart of a method for automatically adjusting 5G network priority according to an embodiment of the present application;

fig. 3 is a architecture flow chart of a method for automatically adjusting 5G network priority according to an embodiment of the present application;

fig. 4 is a schematic structural diagram of an automatic 5G network priority adjustment device according to an embodiment of the present application;

fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present application.

Specific embodiments thereof have been shown by way of example in the drawings and will herein be described in more detail. These drawings and the written description are not intended to limit the scope of the inventive concepts in any way, but to illustrate the concepts of the present application to those skilled in the art by reference to specific embodiments.

Detailed Description

Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples are not representative of all implementations consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with some aspects of the present application as detailed in the accompanying claims.

In order to clearly describe the technical solutions 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. For example, the first device and the second device are merely for distinguishing between different devices, and are not limited in their order of precedence. 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.

In this application, the terms "exemplary" or "such as" are used to mean serving as an example, instance, or illustration. Any embodiment or design described herein as "exemplary" or "for example" should not be construed 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.

In the present application, "at least one" means one or more, and "a plurality" means two or more. "and/or", describes an association relationship of an association object, and indicates that there may be three relationships, for example, a and/or B, and may indicate: a alone, a and B together, and B alone, wherein a, B may be singular or plural. The character "/" generally indicates that the context-dependent object is an "or" relationship. "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.

Embodiments of the present application are described below with reference to the accompanying drawings. Fig. 1 is an application scenario schematic diagram of an automatic adjustment method for 5G network priority provided in an embodiment of the present application, where the automatic adjustment method for 5G network priority provided in the present application may be applied to an application scenario as shown in fig. 1. The application scene comprises: base station 1, base station 2, base station 3, terminal equipment 101-terminal equipment 104 within the coverage of base station 1, terminal equipment 105 and terminal equipment 106 within the coverage of base station 2, terminal equipment 107-terminal equipment 109 within the coverage of base station 3. And each large operator can develop co-building sharing work on the 5G network, namely two operators in cooperation can jointly build a 5G base station sharing one, and the collected base station information is uniformly transmitted to the data processing equipment for processing. For example, the base station 1, the base station 2 and the base station 3 are shared base stations established by two operators in cooperation, the base station 1 can provide the data processing device with the QCI information of the terminal device 101-terminal device 104, the base station 2 can provide the data processing device with the QCI information of the terminal device 105 and the terminal device 106, the base station 3 can provide the data processing device with the QCI information of the terminal device 107-terminal device 109, the data processing device can acquire the base station ID (Identity Document, identity number) which is input by the user and needs to be emphasized, for example, the base station 1, further, the abnormal user proportion can be set to be 50%, the emphasized guard time is 6:00-22:00 and the modification interval time is 30 minutes, so that the data processing device can acquire the QCI information of the terminal device 101-terminal device 104 for the terminal device 101-terminal device 104 in the time period of 6:00-22:00, acquire 2 abnormal users according to the abnormal user proportion, and further adjust the priority of the 2 abnormal users.

It is to be understood that there may be a plurality of terminal devices in each base station coverage area, and in this embodiment of the present application, the number of terminal devices in each base station coverage area is not specifically limited, and the number of terminal devices above is only illustrated as an example.

Optionally, the base station may be a base station (Base Transceiver Station, BTS) and/or a base station controller in global mobile communications (Global System of Mobile communication, GSM) or code division multiple access (Code Division Multiple Access, CDMA), a base station (NodeB, NB) and/or a radio network controller (Radio Network Controller, RNC) in wideband code division multiple access (Wideband Code Division Multiple Access, WCDMA), an evolved base station (Evolutional Node B, eNB or eNodeB) in long term evolution (Long Term Evolution, LTE), a relay station or an access point, or a base station (gNB) in a future 5G network, etc., which is not limited herein.

The terminal device may be a wireless terminal or a wired terminal. A wireless terminal may be a device that provides voice and/or other traffic data connectivity to a user, a handheld device with wireless connectivity, or other processing device connected to a wireless modem. The wireless terminal may communicate with one or more core network devices via a radio access network (Radio Access Network, RAN for short), which may be mobile terminals such as mobile phones (or "cellular" phones) and computers with mobile terminals, for example, portable, pocket, hand-held, computer-built-in or vehicle-mounted mobile devices that exchange voice and/or data with the radio access network. For another example, the wireless terminal may be a personal communication service (Personal Communication Service, abbreviated PCS) phone, a cordless phone, a session initiation protocol (Session Initiation Protocol, abbreviated SIP) phone, a wireless local loop (Wireless Local Loop, abbreviated WLL) station, a personal digital assistant (Personal Digital Assistant, abbreviated PDA) or the like. A wireless Terminal may also be referred to as a system, subscriber Unit (Subscriber Unit), subscriber Station (Subscriber Station), mobile Station (Mobile Station), mobile Station (Mobile), remote Station (Remote Station), remote Terminal (Remote Terminal), access Terminal (Access Terminal), user Terminal (User Terminal), user Agent (User Agent), user equipment (User Device or User Equipment), without limitation. Optionally, the terminal device may also be a device such as a smart watch or a tablet computer.

In the prior art, operators can manually set QCI parameters to enable different users to obtain different service experiences, the parameters are configured in user data of an operator core network, and when data interaction between a terminal and a cooperative 5G base station is realized, both sides are required to ensure that the parameters are consistent in order to ensure that both sides are consistent in user perception, so that the users are ensured to have the same service experience when surfing the internet through the terminal.

However, the above method needs to manually set the QCI parameters, has low accuracy and timeliness, and cannot realize the control of the QCI of the user in the designated area, and cannot ensure the consistency of the QCIs of the abnormal users of both parties.

Therefore, the present application provides a method for automatically adjusting 5G network priority, where the method may respectively establish a connection with network analysis devices of at least two operators, and further obtain target parameters, where the target parameters may include: target base station ID, abnormal user proportion, target guarantee time and modification interval time; further, in the target guarantee time, acquiring a plurality of user IDs carried by the target base station in the modification interval time and user QCI information corresponding to each user from each network analysis device at intervals of modification interval time; then, for a plurality of user IDs acquired from each network analysis device, sorting the plurality of user IDs according to the priority of the user QCI information from high to low, and screening abnormal user IDs from the plurality of user IDs based on abnormal user proportions; further, the priority of the abnormal user QCI information corresponding to each network analysis device is adjusted to be the same priority. Therefore, the QCI information does not need to be regulated and controlled artificially in real time, the efficiency and the accuracy of controlling the user QCI information in a designated area by operators are improved, human resources are saved, the user QCI information corresponding to different operators is regulated to be consistent QCI information, the influence on other operator users caused by that certain operators set the QCI priority of the users excessively high is reduced, and the user experience is improved.

Fig. 2 is a schematic flow chart of a method for automatically adjusting 5G network priority according to an embodiment of the present application, as shown in fig. 2, where the method according to the embodiment of the present application includes:

s201, connection is respectively established with network analysis equipment of at least two operators, and the network analysis equipment is used for providing base station identification numbers ID in a network, user IDs carried by the base stations and user service quality class identifiers QCI information.

In this embodiment of the present application, the user QCI information may refer to information that, when a terminal device of a user wants to establish a certain service, an application layer may directly propose to a core network what the required QCI is, which is parameter information used by a system to identify transmission characteristics of service data packets, may be used to measure packet forwarding behaviors (such as packet loss rate and packet delay budget) provided specifically to an SDF (Service Data Flow ), and may be applied to GBR (Guaranteed Bit Rate ) and Non-GBR bearers at the same time.

For example, the data processing device may establish connection with network analysis devices of at least two operators, for example, operator a and operator B, where the network analysis device of operator a is configured to provide the base station ID and the user QCI information carried by the base station in the network of operator a; the network analysis equipment of the operator B is used for providing the base station ID in the network of the operator B, the user ID carried by the base station and the user QCI information.

It can be understood that, when connections are respectively established with the network analysis devices of how many operators, the network analysis devices of how many operators are required to respectively provide the base station ID in own network, the user ID carried by the base station and the user QCI information.

S202, acquiring target parameters, wherein the target parameters comprise: target base station ID, abnormal user proportion, target guarantee time and modification interval time.

In the embodiment of the present application, the target base station ID may refer to an ID of a radio transceiver station that performs information transfer with a mobile phone terminal through a mobile communication switching center in a target coverage area, for example, the base station 1.

The abnormal user proportion may refer to that at least two operators in cooperation negotiate to set that there may be a proportion of high-level QCI users (i.e., abnormal users) per base station to all users in the base station, for example, the abnormal user proportion may be set to 10%, i.e., each operator retains 10% of the high-QCI abnormal users, and the abnormal user proportion may be 0% if not set by default.

The target guarantee time may refer to a running time of each base station key guarantee set by at least two operators in cooperation, for example, 6:00-22:00; the modification interval may refer to an interval during which the user ID and the user QCI information within the coverage area of the target base station ID need to be reacquired in a period of time. For example, the target guarantee time is 1 hour, and if not set by default, the target guarantee time is 30 minutes.

For example, the data processing device may acquire the target parameters input by the user, for example, the acquired target parameters include a target base station ID of base station 1, an abnormal user proportion of 10%, a target guarantee time of 6:00-22:00, and a modification interval time of 1 hour.

It will be appreciated that the abnormal user proportion, the target guard time and the modification interval time may be manually set, and if not, a default setting is used.

S203, in the target guarantee time, acquiring a plurality of user IDs carried by the target base station in the modification interval time and user QCI information corresponding to each user from each network analysis device at intervals of the modification interval time.

For example, the data processing device may obtain, from each network analysis device, a plurality of user IDs carried by the base station 1 and user QCI information corresponding to each user in one hour according to the obtained target base station ID as the base station 1, the abnormal user proportion as 10%, the target guarantee time as 6:00-22:00, and the modification interval time as 1 hour, further, in the target guarantee time as 6:00-22:00, every 1 hour.

S204, aiming at a plurality of user IDs acquired from each network analysis device, sequencing the user IDs according to the priority of the user QCI information from high to low, and screening abnormal user IDs from the user IDs based on the abnormal user proportion.

For example, the data processing device may obtain 10 user IDs in total from the network analysis device of the operator a and 10, and 20 user IDs in total from the network analysis device of the operator B and 1001, for example, may rank the user 1 to 10 from high to low according to the priority of the user QCI information, and may select the abnormal user ID from the user 1 to the user 10 based on the abnormal user proportion "20%", rank the user 1001 to the user 1020 from high to low according to the priority of the user QCI information, and select the abnormal user ID from the user 1001 to the user 1020 based on the abnormal user proportion "20%", for example, the operator a may select the abnormal user ID as the user 1 and the user 2, and the operator B may select the abnormal user ID as the user 1005 and the user 1006.

S205, adjusting the priority of the QCI information of the abnormal user corresponding to each network analysis device to be the same priority; the abnormal user QCI information is user QCI information corresponding to the abnormal user ID.

For example, if the data processing device screens out that the abnormal user IDs of the operator a are the user 1 and the user 2, and the abnormal user IDs of the operator B are the user 1001, the user 1002, the user 1005 and the user 1006, further, the priorities of the QCI information of the user 1 and the user 2 corresponding to the network analysis device of the operator a may be adjusted to be consistent priorities; the priorities of the QCI information of the user 1001, the user 1002, the user 1005, and the user 1006 corresponding to the network analysis device of the operator B are also adjusted to be identical priorities, and it should be noted that the priorities of the abnormal user QCI information corresponding to the network analysis devices of the operator a and the operator B may be uniformly adjusted to be identical priorities, for example, may be all adjusted to be the first priority. It is to be understood that the priority of the abnormal user QCI information may be kept, the priority of the previous user QCI information may be adjusted to a uniform priority for the user QCI information corresponding to the user ID other than the abnormal user ID, or the priority of the abnormal user QCI information may be adjusted to a uniform priority for the user QCI information corresponding to the user ID other than the abnormal user ID.

It should be noted that, in the embodiment of the present application, the abnormal user may refer to a user with a high priority corresponding to the QCI information set by the operator, for example, a VIP user, and the VIP user after being screened based on the proportion of the abnormal user may be adjusted to a uniform priority by adjusting the VIP user after being screened, and the user other than the abnormal user may be adjusted to a priority corresponding to the normal user.

Therefore, the method and the device do not need artificial QCI information regulation and control, do not need artificial real-time QCI information regulation and control, improve the efficiency and accuracy of operators for controlling the user QCI information in a designated area, save human resources, adjust the user QCI information corresponding to different operators into consistent QCI information, reduce the influence on other operators caused by that certain operators set the QCI priority of the users in an overhigh manner, provide better service and improve user experience.

For example, taking two operators as an example, if the data processing device obtains 10 user IDs in total from the network analysis device of the operator a and 10 user IDs in total from the network analysis device of the operator B and 20 user IDs in total from the network analysis device of the operator 1001 to 1020, further, the data processing device screens out abnormal user IDs of the operator a as the user 1 and the user 2 based on the abnormal user proportion, and abnormal user IDs of the operator B as the user 1001, the user 1002 and the user 1006, the priority of QCI information of the user 3 to the user 10 corresponding to the network analysis device of the operator a can be adjusted to be the same priority; the priority adjustment of the QCI information of the user 1004 and the user 1007-1020 corresponding to the network analysis device of the operator B is also the same priority, and it should be noted that the priority of the QCI information of the other users corresponding to the network analysis devices of the operator a and the operator B is uniformly adjusted to the same priority, for example, the priority may be adjusted to the third priority, and the adjustment priority needs to be lower than the priority of the QCI information of the abnormal user.

It should be noted that, in the embodiment of the present application, the users with the QCI information corresponding to the high priority set by the operator may be screened out based on the abnormal user proportion, for example, VIP users, and the priority of the VIP users may keep the original priority by adjusting the QCI information of other users except the VIP users to be the same priority.

Therefore, the user QCI information corresponding to other user IDs except the abnormal user ID can be regulated to be consistent with the corresponding user QCI under different operators, so that better service can be provided for the user.

For example, taking two operators as an example, the data processing device may determine the number of the abnormal user IDs corresponding to the screened operator a and the operator B according to 16 user IDs in total of 1 to 16 users obtained from the network analysis device of the operator a, 20 user IDs in total of 1001 to 1020 users obtained from the network analysis device of the operator B, and the agreed abnormal user proportion "25%", which is input by the operator a and the operator B, respectively; taking the abnormal users of the selected operator B as an example, sorting the users 1001 to 1020 according to the priority of the QCI information of the users from high to low; the first 5 user IDs with the highest priority of the user QCI information are selected as the abnormal user IDs, for example, the selected abnormal users are user 1001, user 1003, user 1004, user 1007, and user 1010. It will be appreciated that the steps for screening the abnormal users of operator a are similar to those for screening the abnormal users of operator B, and will not be described in detail herein.

It should be noted that, the QCI information of each user has a corresponding priority, the first priority is the priority of the highest level, the remaining priority corresponds to the level and so on, and the above-mentioned screened abnormal users only make an example and are in fact subject to specific situations.

Therefore, the acquired user IDs are ranked according to the priority of the user QCI information from high to low, abnormal user IDs are screened out, and accuracy and the speed of screening out the abnormal user IDs can be improved.

The user QCI information of the nth user ID is the same as the user QCI information of the n+1th user ID, which may specifically mean that the priority of the user QCI information of the nth user ID is the same as the priority of the user QCI information of the n+1th user ID. For each operator, the abnormal user IDs that are screened out may be all user IDs having priority greater than the reference QCI information and M user IDs that are randomly selected.

In this embodiment of the present application, the user ID queue may refer to a queue of all user IDs of each operator obtained from the base station after all user IDs of each operator are ranked from high to low according to the priority of the corresponding user QCI information, for example, the obtained all user IDs of the operator a are user 1 to user 10, and the user ID queue may be user 1, user 8, user 4, user 3, user 2, user 6, user 9, user 7, user 10, and user 5.

For example, based on the abnormal user proportion of "50%", in the user ID queues obtained after sorting, for example, user 1, user 8, user 4, user 3, user 2, user 6, user 9, user 7, user 10, and user 5, if the user QCI information of the 5 th user ID is the same as the user QCI information of the 6 th user ID, the number of user QCI information higher than the user QCI information corresponding to the 5 th user ID is calculated; subtracting the calculated number of user IDs from 5, and randomly selecting 2 user IDs from all user IDs with the user QCI information in the queue as reference QCI information if the calculated number of user IDs is 3.

It can be understood that if the user 1, the user 8, and the user 4 are the first priority, the user 3, the user 2, and the user 6 are the second priority, the user 9, the user 7, the user 10, and the user 5 are the third priority, 5 users need to be screened out as abnormal users based on the abnormal user proportion of "50%", and the user QCI information of the 5 th user ID is found to be the same as the user QCI information of the 6 th user ID through calculation, that is, the priorities are the same, further, in addition to selecting the user 1, the user 8, and the user 4 as the abnormal users, any 2 of the user 3, the user 2, and the user 6 need to be selected as the abnormal users by adopting a random mode.

Therefore, when the first N user IDs with the highest priority of the user QCI information are selected as abnormal user IDs, if the same abnormal QCI information is needed to be screened out, the calculation rate can be improved in a random mode, and the process is simple and convenient.

Optionally, the method further comprises: establishing connection with instruction issuing equipment of at least two operators; the instruction issuing equipment is used for modifying user QCI information; correspondingly, adjusting the priority of the abnormal user QCI information corresponding to each network analysis device to be the same priority comprises the following steps: determining the priority of the adjusted abnormal user QCI information according to the current abnormal user QCI information of each network analysis device; generating a corresponding instruction issuing script aiming at each operator, wherein the instruction issuing script comprises the priority of the adjusted abnormal user QCI information and the corresponding abnormal user ID; and sending the instruction issuing script to corresponding instruction issuing equipment so that the instruction issuing equipment modifies the user QCI information corresponding to the abnormal user ID according to the priority of the adjusted abnormal user QCI information.

Specifically, the data processing device needs to establish connection with the instruction issuing devices of at least two operators, so that the instruction issuing devices can modify the user QCI information according to the relevant configuration instructions sent by the data processing device.

For example, taking two operators as an example, the data processing device may determine the priority of the adjusted abnormal user QCI information according to the priority of the current abnormal user QCI information screened out by the network analysis devices corresponding to the operator a and the operator B respectively; for example, if the priority of the current abnormal user QCI information screened out has the first priority and the second priority, it can be determined that the priority of the adjusted abnormal user QCI information is the first priority; or the priorities of the screened current abnormal user QCI information are all the first priorities, the priorities of the adjusted abnormal user QCI information can be determined to be the first priorities; it will be appreciated that the priority of the adjusted abnormal user QCI information may remain the same as before, or may be adjusted to a higher priority, which is not specifically limited in the embodiments of the present application.

Further, the data processing device may generate, for each of the operator a and the operator B, a corresponding instruction issuing script, where the instruction issuing script includes the adjusted priority of the abnormal user QCI information and the corresponding abnormal user ID; further, the data processing device may send the generated corresponding instruction issuing script to the instruction issuing device respectively corresponding to the operator a and the operator B, so that the instruction issuing device respectively corresponding to the operator a and the operator B modifies the user QCI information corresponding to the abnormal user ID according to the adjusted priority of the abnormal user QCI information.

Therefore, by establishing connection with the instruction issuing equipment of at least two operators and adjusting the priority of the abnormal user QCI information to be the same priority, the user QCI corresponding to the at least two operators can be adjusted uniformly, and the user experience is improved.

Optionally, generating a corresponding instruction issuing script for each operator includes: selecting adjusted abnormal user QCI information from the abnormal user QCI information corresponding to each network analysis device; and for each abnormal user ID, judging whether the user QCI information corresponding to the abnormal user ID is consistent with the adjusted abnormal user QCI information, and if not, writing the abnormal user ID into a corresponding operator instruction issuing script.

Taking two operators, namely an operator A and an operator B as examples, the data processing equipment selects the priority of the adjusted abnormal user QCI information from the priority of the abnormal user QCI information corresponding to the network analysis equipment corresponding to the operator A and the operator B; for example, the priority of the abnormal user QCI information adjusted by the operator a is the first priority, the priority of the abnormal user QCI information adjusted by the operator B is the first priority, further, for each abnormal user ID, it is determined whether the user QCI information corresponding to the abnormal user ID is consistent with the adjusted abnormal user QCI information, if not, the adjusted abnormal user ID is written into the instruction issuing script of the corresponding operator.

It can be understood that by determining the priority of the adjusted abnormal user QCI information, it is determined whether the user ID is consistent with the previous one, and for each user ID, the instruction issuing script is written to be modified if the user ID is inconsistent with the priority of the adjusted QCI information, and if the user ID is consistent with the priority of the adjusted QCI information, the instruction issuing script is not modified.

Therefore, the priority of the QCI information of the abnormal user or the priority of the QCI information of other users except the abnormal user is modified by generating the corresponding instruction issuing script for each operator, so that the control of the user QCI is achieved, the consistency of the QCI of the corresponding user of each operator is ensured, the user experience is improved, all user IDs do not need to be written, the script size and the workload of the instruction issuing equipment are effectively reduced, and the modification efficiency is improved.

Specifically, the data processing device needs to acquire target parameters sent by input devices of at least two operators, and further, controls QCI information of users corresponding to the at least two operators.

For example, the data processing device may determine whether the target parameters sent by the input devices of at least two operators are consistent; if the user IDs are consistent with the user QCI information, acquiring a plurality of user IDs carried by a target base station in the modification interval time and user QCI information corresponding to each user from each network analysis device at intervals of modification interval time in the target guarantee time; for example, if the target parameters sent by the operator a and the operator B are the target base station ID and the base station 1, the proportion of abnormal users is 10%, the target guarantee time is 6:00-22:00, and the modification interval time is 1 hour, then multiple user IDs carried by the base station 1 and user QCI information corresponding to each user in 1 hour can be obtained from the network analysis devices corresponding to the operator a and the operator B in 6:00-22:00 at intervals of 1 hour.

If the target parameters sent by the input devices of at least two operators are inconsistent, the data processing device can send reminding information so that the input devices of the at least two operators resend the target parameters. For example, if the target parameter sent by the operator a is the target base station ID of the base station 1, the proportion of abnormal users is 10%, the target guarantee time is 6:00-22:00, and the modification interval time is 1 hour, the target parameter sent by the operator B is the target base station ID of the base station 1, the proportion of abnormal users is 20%, the target guarantee time is 6:00-22:00, and the modification interval time is 1 hour, the data processing device may send a reminder message, so that the input devices of the operator a and the operator B retransmit the target parameter.

It should be noted that, if only one parameter is inconsistent with the target parameters sent by the input devices of at least two operators, a reminding message needs to be sent, so that the input devices of the at least two operators resend the target parameters.

Therefore, the target parameters can be adjusted in real time by operators, and the flexibility and timeliness are improved.

In connection with the above embodiments, fig. 3 is a schematic flow chart of a method for automatically adjusting 5G network priority according to an embodiment of the present application. As shown in fig. 3, taking two operators as an example, the steps of the execution method in the embodiment of the present application include:

step A: the data processing device establishes connection with network analysis devices (an operator A and an operator B) of both sides, and executes the step B, wherein the network analysis devices of both sides can analyze wireless device network management and core network device network management in respective networks, provide base station IDs in respective networks and user IDs and user QCI information carried in the base stations in real time, and analyze the user IDs and the user QCI information carried under the designated base stations in a designated time range.

And (B) step (B): the user can input the base station ID (i.e. the target base station ID) which needs to be guaranteed with emphasis, or can set the proportion of the abnormal user (0% in the default case), set the emphasis guarantee time and the modification interval time (30 minutes in the default case), the data processing device sends the target base station ID and the time range to the network analysis device, further, the data processing device can acquire a plurality of user IDs carried by the target base station in the modification interval time and user QCI information corresponding to each user, further, the data processing device processes the user IDs, screens out abnormal users of the operator a and the operator B and adjusts the abnormal users, generates an instruction issuing script for the adjusted abnormal users, sends the target modification script to the instruction issuing device of the operator a and the operator B according to time, and executes the step C.

Step C: and D, respectively receiving the target modification script by the instruction issuing equipment of the operator A and the operator B, respectively issuing operation instructions of the modification script to the core network equipment of the operator A and the operator B, and executing the step D.

Step D: and the core network equipment of the operator A and the operator B receive the operation instructions of the related configuration, and further modify the designated user QCI information.

In the foregoing embodiments, the method for automatically adjusting 5G network priority provided in the embodiments of the present application is described, and in order to implement each function in the method provided in the embodiments of the present application, an electronic device as an execution body may include a hardware structure and/or a software module, and each function may be implemented in the form of a hardware structure, a software module, or a hardware structure and a software module. Some of the functions described above are performed in a hardware configuration, a software module, or a combination of hardware and software modules, depending on the specific application of the solution and design constraints.

For example, fig. 4 is a schematic structural diagram of an automatic 5G network priority adjustment device according to an embodiment of the present application, and as shown in fig. 4, the device includes: a connection establishment module 410, configured to establish connection with network analysis devices of at least two operators, where the network analysis devices are configured to provide in-network base station identification number ID, user ID carried by a base station, and user quality of service class identifier QCI information; a first obtaining module 420, configured to obtain target parameters, where the target parameters include: target base station ID, abnormal user proportion, target guarantee time and modification interval time; a second obtaining module 430, configured to obtain, from each of the network analysis devices, a plurality of user IDs carried by the target base station and user QCI information corresponding to each user in the modification interval time at intervals of the modification interval time in the target guarantee time; a screening module 440, configured to rank, for a plurality of user IDs acquired from each network analysis device, the plurality of user IDs according to a priority of user QCI information from high to low, and screen an abnormal user ID from the plurality of user IDs based on the abnormal user proportion; an adjustment module 450, configured to adjust the priority of the abnormal user QCI information corresponding to each network analysis device to a consistent priority; the abnormal user QCI information is user QCI information corresponding to the abnormal user ID.

Optionally, the adjusting module 450 is further configured to adjust the priorities of the QCI information of other users corresponding to each network analysis device to be consistent priorities; the other user QCI information is user QCI information corresponding to other user IDs except the abnormal user ID.

Optionally, the screening module 440 includes: the device comprises a first determining unit, a sorting unit and a selecting unit. Optionally, the first determining unit is configured to determine the number of the screened abnormal user IDs according to the number of the plurality of user IDs and the abnormal user proportion; the sorting unit is used for sorting the plurality of user IDs from high to low according to the priority of the user QCI information; and the selecting unit is used for selecting the first N user IDs with the highest priority of the user QCI information as abnormal user IDs, wherein N is the number of the abnormal user IDs.

Optionally, the selecting unit is specifically configured to calculate, in the user ID queue obtained after the sorting, if the user QCI information of the nth user ID is the same as the user QCI information of the (n+1) th user ID, the number of user IDs with the user QCI information higher than the reference QCI information; wherein, the reference QCI information is user QCI information corresponding to the Nth user ID; subtracting the calculated number of user IDs from N, and randomly selecting M user IDs from all user IDs with the user QCI information in the queue as the reference QCI information, wherein M is the difference between N and the calculated number of user IDs.

Optionally, the connection establishment module 410 is further configured to establish a connection with the instruction issuing devices of the at least two operators; the instruction issuing equipment is used for modifying user QCI information; the adjustment module 450 includes a second determination unit, a generation unit, and a transmission unit.

Optionally, the second determining unit is configured to determine, according to the priority of the current abnormal user QCI information of each network analysis device, the priority of the adjusted abnormal user QCI information; the generating unit is used for generating a corresponding instruction issuing script aiming at each operator, wherein the instruction issuing script comprises the priority of the adjusted abnormal user QCI information and the corresponding abnormal user ID; and the sending unit is used for sending the instruction issuing script to corresponding instruction issuing equipment so that the instruction issuing equipment modifies the user QCI information corresponding to the abnormal user ID according to the priority of the adjusted abnormal user QCI information.

Optionally, the generating unit is specifically configured to select the adjusted priority of the abnormal user QCI information from the priorities of the abnormal user QCI information corresponding to each network analysis device; and judging whether the priority of the user QCI information corresponding to each abnormal user ID is consistent with the priority of the adjusted abnormal user QCI information or not for each abnormal user ID, and if not, writing the abnormal user ID into a corresponding operator instruction issuing script.

Optionally, the first obtaining module 420 is specifically configured to obtain target parameters sent by the input devices of the at least two operators; correspondingly, the second obtaining module 430 is specifically configured to determine whether the target parameters sent by the input devices of the at least two operators are consistent; if the user IDs are consistent with the user QCI information, acquiring a plurality of user IDs carried by a target base station in the modification interval time and user QCI information corresponding to each user from each network analysis device at intervals of the modification interval time in the target guarantee time; and if the input devices are inconsistent, sending reminding information so that the input devices of the at least two operators resend the target parameters.

The embodiment of the application further provides a schematic structural diagram of an electronic device, and fig. 5 is a schematic structural diagram of an electronic device provided in the embodiment of the application, as shown in fig. 5, the electronic device may include: a processor 502 and a memory 501 communicatively coupled to the processor; the memory 501 stores a computer program; the processor 502 executes the computer program stored in the memory 501, so that the processor 502 performs the method according to any of the embodiments described above.

Wherein the memory 501 and the processor 502 may be connected by a bus 503.

The specific implementation principle and effect of the automatic 5G network priority adjustment device provided in the embodiment of the present application may refer to the relevant description and effect corresponding to the foregoing embodiment, and will not be repeated herein.

The embodiment of the application also provides a computer readable storage medium, wherein the computer readable storage medium stores computer program execution instructions, and the computer execution instructions are used for realizing the automatic 5G network priority adjustment method in any of the previous embodiments of the application when being executed by a processor.

The embodiment of the application also provides a chip for running the instruction, and the chip is used for executing the 5G network priority automatic adjustment method executed by the electronic equipment in any of the previous embodiments of the application.

Embodiments of the present application also provide a computer program product comprising a computer program which, when executed by a processor, implements a method for automatically adjusting 5G network priority as performed by an electronic device in any of the foregoing embodiments of the present application.

In the several embodiments provided in this application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of modules is merely a logical function division, and there may be additional divisions of actual implementation, e.g., multiple modules or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or modules, which may be in electrical, mechanical, or other forms.

The modules illustrated as separate components may or may not be physically separate, and components shown as modules may or may not be physical units, may be located in one place, or may be distributed over multiple network units. Some or all of the modules may be selected according to actual needs to implement the solution of this embodiment.

In addition, each functional module in each embodiment of the present application may be integrated in one processing unit, or each module may exist alone physically, or two or more modules may be integrated in one unit. The units formed by the modules can be realized in a form of hardware or a form of hardware and software functional units.

The integrated modules, which are implemented in the form of software functional modules, may be stored in a computer readable storage medium. The software functional modules described above are stored in a storage medium and include instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) or processor to perform some of the steps of the methods described in various embodiments of the present application.

It is understood that the processor may be a central processing unit (central processing unit, CPU), but may also be other general purpose processors, digital signal processors (digital signal processor, DSP), application specific integrated circuits (application specific integrated circuit, ASIC), etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the present application may be embodied directly in a hardware processor for execution, or in a combination of hardware and software modules in a processor for execution.

The memory may include a high-speed random access memory (random access memory, RAM), and may further include a non-volatile memory (NVM), such as at least one magnetic disk memory, and may also be a U-disk, a removable hard disk, a read-only memory, a magnetic disk, or an optical disk.

The bus may be an industry standard architecture (industry standard architecture, ISA) bus, an external device interconnect (peripheral component interconnect, PCI) bus, or an extended industry standard architecture (extended industry standard architecture, EISA) bus, among others. The buses may be divided into address buses, data buses, control buses, etc. For ease of illustration, the buses in the drawings of the present application are not limited to only one bus or one type of bus.

The storage medium may be implemented by any type or combination of volatile or nonvolatile memory devices such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disk. A storage media may be any available media that can be accessed by a general purpose or special purpose computer.

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 an application specific integrated circuit (application specific integrated circuits, ASIC). It is also possible that the processor and the storage medium reside as discrete components in an electronic device or a master device.

The foregoing is merely a specific implementation of the embodiments of the present application, but the protection scope of the embodiments of the present application is not limited thereto, and any changes or substitutions within the technical scope disclosed in the embodiments of the present application should be covered by the protection scope of the embodiments of the present application. Therefore, the protection scope of the embodiments of the present application shall be subject to the protection scope of the claims.

Claims

1. The automatic 5G network priority adjusting method is characterized by comprising the following steps:

respectively establishing connection with network analysis equipment of at least two operators, wherein the network analysis equipment is used for providing base station identification numbers ID in a network, user IDs carried by base stations and user service quality class identifiers QCI information;

Obtaining target parameters, wherein the target parameters comprise: target base station ID, abnormal user proportion, target guarantee time and modification interval time;

acquiring a plurality of user IDs carried by a target base station in the modification interval time and user QCI information corresponding to each user from each network analysis device at intervals of the modification interval time in the target guarantee time;

sorting a plurality of user IDs acquired from each network analysis device according to the priority of user QCI information from high to low, and screening abnormal user IDs from the plurality of user IDs based on the abnormal user proportion;

the priority of the QCI information of the abnormal user corresponding to each network analysis device is adjusted to be the same priority; the abnormal user QCI information is user QCI information corresponding to the abnormal user ID.

2. The method as recited in claim 1, further comprising:

the priority of QCI information of other users corresponding to each network analysis device is adjusted to be the same priority; the other user QCI information is user QCI information corresponding to other user IDs except the abnormal user ID.

3. The method of claim 1, wherein sorting the plurality of user IDs from high to low according to the priority of the user QCI information, and screening out abnormal user IDs from the plurality of user IDs based on the abnormal user proportion, comprises:

Determining the number of the screened abnormal user IDs according to the number of the plurality of the user IDs and the abnormal user proportion;

sequencing the plurality of user IDs from high to low according to the priority of the user QCI information;

and selecting the first N user IDs with the highest priority of the user QCI information as abnormal user IDs, wherein N is the number of the abnormal user IDs.

4. The method of claim 3, wherein selecting the top N user IDs with the highest priority of the user QCI information as the abnormal user IDs comprises:

in the user ID queue obtained after sequencing, if the user QCI information of the Nth user ID is the same as the user QCI information of the (n+1) th user ID, calculating the number of the user QCI information which is higher than the reference QCI information; wherein, the reference QCI information is user QCI information corresponding to the Nth user ID;

subtracting the calculated number of user IDs from N, and randomly selecting M user IDs from all user IDs with the user QCI information in the queue as the reference QCI information, wherein M is the difference between N and the calculated number of user IDs.

5. The method as recited in claim 1, further comprising:

establishing connection with instruction issuing equipment of at least two operators; the instruction issuing equipment is used for modifying user QCI information;

Correspondingly, adjusting the priority of the abnormal user QCI information corresponding to each network analysis device to be the same priority comprises the following steps:

determining the priority of the adjusted QCI information of the abnormal user according to the priority of the current QCI information of the abnormal user of each network analysis device;

generating a corresponding instruction issuing script aiming at each operator, wherein the instruction issuing script comprises the priority of the adjusted abnormal user QCI information and the corresponding abnormal user ID;

and sending the instruction issuing script to corresponding instruction issuing equipment so that the instruction issuing equipment modifies the user QCI information corresponding to the abnormal user ID according to the priority of the adjusted abnormal user QCI information.

6. The method of claim 5, wherein generating a corresponding instruction issue script for each operator comprises:

selecting the adjusted priority of the abnormal user QCI information from the priority of the abnormal user QCI information corresponding to each network analysis device;

and judging whether the priority of the user QCI information corresponding to each abnormal user ID is consistent with the priority of the adjusted abnormal user QCI information or not for each abnormal user ID, and if not, writing the abnormal user ID into a corresponding operator instruction issuing script.

7. The method of any of claims 1-6, wherein obtaining the target parameter comprises: acquiring target parameters sent by input equipment of at least two operators;

correspondingly, in the target guarantee time, acquiring, from each network analysis device, a plurality of user IDs carried by a target base station in the modification interval time and user QCI information corresponding to each user at intervals of the modification interval time, including:

judging whether target parameters sent by input equipment of at least two operators are consistent;

if the user IDs are consistent with the user QCI information, acquiring a plurality of user IDs carried by a target base station in the modification interval time and user QCI information corresponding to each user from each network analysis device at intervals of the modification interval time in the target guarantee time;

and if the input devices are inconsistent, sending reminding information so that the input devices of the at least two operators resend the target parameters.

8. An automatic 5G network priority adjustment apparatus, comprising:

the network analysis equipment is used for providing base station identification number ID in the network, user ID carried by the base station and user service quality class identifier QCI information;

The first acquisition module is used for acquiring target parameters, and the target parameters comprise: target base station ID, abnormal user proportion, target guarantee time and modification interval time;

the second obtaining module is used for obtaining a plurality of user IDs carried by the target base station in the modification interval time and user QCI information corresponding to each user from each network analysis device at intervals of the modification interval time in the target guarantee time;

the screening module is used for sequencing a plurality of user IDs acquired from each network analysis device according to the priority of the user QCI information from high to low, and screening abnormal user IDs from the user IDs based on the abnormal user proportion;

the adjusting module is used for adjusting the priority of the QCI information of the abnormal user corresponding to each network analysis device to be the consistent priority; the abnormal user QCI information is user QCI information corresponding to the abnormal user ID.

9. An electronic device, comprising: a processor, and a memory communicatively coupled to the processor;

the memory stores computer-executable instructions;

the processor executes computer-executable instructions stored in the memory to implement the method of any one of claims 1-7.

10. A computer readable storage medium storing computer executable instructions which when executed by a processor are adapted to implement the 5G network priority automatic adjustment method of any of claims 1-7.