CN-116017522-B - Network performance improving method, device and storage medium

CN116017522BCN 116017522 BCN116017522 BCN 116017522BCN-116017522-B

Abstract

The application provides a network performance improving method, a device and a storage medium, relates to the technical field of computers, and aims to solve the technical problem that the general technology cannot effectively improve the network performance. The network performance improvement method comprises the steps of responding to a network performance improvement instruction, determining the influence proportion of each influence factor to a target cell in a preset time period, wherein one influence factor is used for representing one running state of the target cell, determining a to-be-processed influence factor according to the influence proportion of each influence factor to the target cell and a preset network performance index of the target cell, and determining a network performance improvement strategy according to the running state corresponding to the to-be-processed influence factor.

Inventors

WANG ZERUI
ZHAO JUN
GONG BO
YUAN TINGTING
CAO YAJING

Assignees

中国联合网络通信集团有限公司

Dates

Publication Date: 20260505
Application Date: 20230130

Claims (12)

1. A method for improving network performance, comprising: The method comprises the steps of responding to a network performance improving instruction, determining the influence proportion of each influence factor to a target cell in a preset time period, wherein one influence factor is used for representing one running state of the target cell, the running state of the target cell comprises an available state, a fault state, an energy-saving state and a locking state, the influence proportion of each influence factor to the target cell in the preset time period is the accumulated duration of the unavailability of network services of the target cell caused by the running state corresponding to each influence factor in the preset time period, and the ratio of the accumulated duration to the preset time period is the ratio of the total duration of the network services of the target cell to the total duration; determining an influence factor to be processed according to the influence proportion of each influence factor on the target cell and a preset network performance index of the target cell; and determining a network performance improvement strategy according to the running state corresponding to the influence factor to be processed.
2. The network performance improvement method according to claim 1, wherein said determining the influence factor to be processed according to the influence proportion of each influence factor to the target cell and the preset network performance index of the target cell includes: Determining a target value according to the influence proportion of each influence factor on the target cell and the preset network performance index of the target cell, wherein the target value X meets the following formula: X=A-(1-B)*100%; Wherein A is the preset network performance index, B is the sum of the influence proportion of each influence factor to the target cell (1-B) is 100% used for representing the current network performance index; And sequencing the influence proportion of each influence factor on the target cell according to the sequence from big to small, and determining the first n influence factors after sequencing as the influence factors to be processed, wherein the sum of the influence proportion of the first n influence factors after sequencing on the target cell is greater than or equal to the target value, and the sum of the influence proportion of the first n-1 influence factors after sequencing on the target cell is smaller than the target value.
3. The network performance improvement method according to claim 1, wherein when the number of the pending influencing factors is plural, the determining a network performance improvement policy according to the operation state corresponding to the pending influencing factors includes: determining a first weight of each influence factor to be processed according to the influence proportion of each influence factor to be processed on the target cell; determining a second weight of each influence factor to be processed according to the processing complexity and the importance degree of the running state corresponding to each influence factor to be processed; And determining the sum of the first weight and the second weight as the priority of each influence factor to be processed, and sequentially determining the network performance improvement strategy corresponding to each running state according to the order of the priority from high to low.
4. The network performance improvement method according to claim 3, wherein when the operation state corresponding to the pending impact factor includes a failure state, the determining a network performance improvement policy includes: Acquiring a plurality of alarm information of the target cell in the fault state, wherein each alarm information comprises fault positioning information and fault time information; Clustering the alarm information according to the fault locating information and the fault time information to obtain a clustering result; Acquiring a network equipment topological relation of the target cell; Determining fault root cause alarm information of the target cell in the fault state according to the clustering result and the topological relation of the network equipment; And determining the fault processing strategy corresponding to the fault root cause alarm information as the network performance improving strategy.
5. The network performance enhancing method of any one of claims 1-4, further comprising: The service availability is used for representing the ratio of the service duration of the target cell to the preset time period; and triggering the network performance improvement instruction when the service availability is smaller than a preset threshold value.
6. A network performance improving device is characterized by comprising a processing unit; The processing unit is used for responding to a network performance improving instruction, determining the influence proportion of each influence factor to a target cell in a plurality of influence factors of the target cell in a preset time period, wherein one influence factor is used for representing one running state of the target cell, the running state of the target cell comprises an available state, a fault state, an energy-saving state and a locking state, the influence proportion of each influence factor to the target cell in the preset time period is the accumulated duration of the unavailability of the network service of the target cell caused by the running state corresponding to each influence factor in the preset time period, and the ratio of the accumulated duration to the preset time period is the ratio of the available duration of the network service of the target cell to the preset time period; The processing unit is further configured to determine an influence factor to be processed according to an influence proportion of each influence factor on the target cell and a preset network performance index of the target cell; The processing unit is further configured to determine a network performance promotion policy according to an operation state corresponding to the to-be-processed influence factor.
7. The network performance enhancing apparatus of claim 6, wherein the processing unit is specifically configured to: Determining a target value according to the influence proportion of each influence factor on the target cell and the preset network performance index of the target cell, wherein the target value X meets the following formula: X=A-(1-B)*100%; Wherein A is the preset network performance index, B is the sum of the influence proportion of each influence factor to the target cell (1-B) is 100% used for representing the current network performance index; And sequencing the influence proportion of each influence factor on the target cell according to the sequence from big to small, and determining the first n influence factors after sequencing as the influence factors to be processed, wherein the sum of the influence proportion of the first n influence factors after sequencing on the target cell is greater than or equal to the target value, and the sum of the influence proportion of the first n-1 influence factors after sequencing on the target cell is smaller than the target value.
8. The network performance enhancing apparatus according to claim 6, wherein when the number of the to-be-processed influencing factors is plural, the processing unit is specifically configured to: determining a first weight of each influence factor to be processed according to the influence proportion of each influence factor to be processed on the target cell; determining a second weight of each influence factor to be processed according to the processing complexity and the importance degree of the running state corresponding to each influence factor to be processed; And determining the sum of the first weight and the second weight as the priority of each influence factor to be processed, and sequentially determining the network performance improvement strategy corresponding to each running state according to the order of the priority from high to low.
9. The network performance improving apparatus according to claim 8, wherein when the operation state corresponding to the pending impact factor includes a failure state, the processing unit is specifically configured to: Acquiring a plurality of alarm information of the target cell in the fault state, wherein each alarm information comprises fault positioning information and fault time information; Clustering the alarm information according to the fault locating information and the fault time information to obtain a clustering result; Acquiring a network equipment topological relation of the target cell; Determining fault root cause alarm information of the target cell in the fault state according to the clustering result and the topological relation of the network equipment; And determining the fault processing strategy corresponding to the fault root cause alarm information as the network performance improving strategy.
10. The network performance enhancing apparatus of any one of claims 6-9, wherein, The processing unit is further used for determining the service availability of the target cell, wherein the service availability is used for representing the ratio of the service duration of the target cell to the preset time period; the processing unit is further configured to trigger the network performance improvement instruction when the service availability is less than a preset threshold.
11. A network performance enhancing apparatus comprising a memory and a processor, wherein the memory is configured to store computer-executable instructions, the processor is coupled to the memory via a bus, and when the network performance enhancing apparatus is operated, the processor executes the computer-executable instructions stored in the memory to cause the network performance enhancing apparatus to perform the network performance enhancing method of any one of claims 1-5.
12. A computer-readable storage medium comprising computer-executable instructions that, when run on a computer, cause the computer to perform the network performance enhancement method of any of claims 1-5.

Description

Network performance improving method, device and storage medium Technical Field The present application relates to the field of computer technologies, and in particular, to a method and apparatus for improving network performance, and a storage medium. Background With the expansion of the scale of mobile networks and the popularization of mobile communication devices, it is important to perform network performance maintenance work in order to ensure that people can normally use wireless communication networks. The base station is used as the equipment with the largest usage in the mobile communication network, and the problems of low availability and difficult positioning of unavailable reasons exist at present. Therefore, in order to effectively improve the running quality of the wireless network, ensure the perception of users, the improvement of the network performance needs to be enhanced. Disclosure of Invention The application provides a network performance improving method, a device and a storage medium, which are used for solving the technical problem that the network performance can not be effectively improved by a general technology. In order to achieve the above purpose, the application adopts the following technical scheme: in a first aspect, a network performance improving method is provided, including: determining an influence proportion of each influence factor to the target cell in a preset time period in response to a network performance improvement instruction, wherein one influence factor is used for representing one running state of the target cell; Determining an influence factor to be processed according to the influence proportion of each influence factor on the target cell and the preset network performance index of the target cell; and determining a network performance improvement strategy according to the running state corresponding to the influence factors to be processed. Optionally, determining an influence proportion of each influence factor to the target cell in the plurality of influence factors of the target cell includes: acquiring the influence duration of the running state corresponding to each influence factor on the target cell; And determining the ratio of the influence duration to the preset time period as the influence proportion of each influence factor to the target cell. Optionally, determining the to-be-processed influence factor according to the influence proportion of each influence factor on the target cell and the preset network performance index of the target cell includes: Determining a target numerical value according to the influence proportion of each influence factor on the target cell and the preset network performance index of the target cell, wherein the target numerical value X meets the following formula: X=A-(1-B)*100%; wherein A is a preset network performance index, B is the sum of the influence proportion of each influence factor to a target cell, and (1-B) 100% is used for representing the current network performance index; And sequencing the influence proportion of each influence factor on the target cell according to the sequence from big to small, determining the first n influence factors after sequencing as influence factors to be processed, wherein the sum of the influence proportion of the first n influence factors after sequencing on the target cell is larger than or equal to a target numerical value, and the sum of the influence proportion of the first n-1 influence factors after sequencing on the target cell is smaller than the target numerical value. Optionally, when the number of the to-be-processed influence factors is multiple, determining the network performance improvement policy according to the operation state corresponding to the to-be-processed influence factors includes: Determining a first weight of each influence factor to be processed according to the influence proportion of each influence factor to be processed on the target cell; Determining a second weight of each influence factor to be processed according to the processing complexity and the importance degree of the running state corresponding to each influence factor to be processed; and determining the sum of the first weight and the second weight as the priority of each influence factor to be processed, and sequentially determining the network performance improvement strategy corresponding to each running state according to the order of the priority from high to low. Optionally, when the operation state corresponding to the to-be-processed influence factor includes a fault state, determining a network performance improvement policy includes: acquiring a plurality of alarm information of a target cell in a fault state, wherein each alarm information comprises fault positioning information and fault time information; clustering a plurality of alarm information according to the fault locating information and the fault time information to obtain a clustering result; a