Wireless resource dynamic balancing method and system and computer program

Abstract

The invention belongs to the technical field of communication networks, and discloses a wireless resource dynamic balancing method and system and a computer program. A data processing node collects traffic statistical data, parameter configuration data and a collection scheme from an LTE system; a strategy judgment node judges whether a capacity expansion and reduction operation needs to be performed according to a license strategy control step based on the statistical data; and an execution node automatically generates a capacity expansion and reduction instruction script, connects the LTE system to perform operations, and collects the execution state. According to the scheme of the invention, an automatic capacity expansion and reduction balancing method is adopted, a large amount of labor cost can be saved, the period of traffic analysis and capacity expansion and reduction can be shortened, and the balancing efficiency of carrier wireless resources can be greatly improved; a flexible resource allocation mode of a wireless resource balancing system can well deal with the 'traffic tidal effect'; the application of a big data based machine learning prediction algorithm can make the balance of the wireless resources more accurate; and a large amount of license cost can be saved.

Description

technical field [0001] The invention belongs to the technical field of communication networks, and in particular relates to a method and system for dynamic equalization of wireless resources, and a computer program. Background technique [0002] At present, the existing technologies commonly used in the industry are as follows: [0003] A carrier is a wireless resource for carrying user communications, which exists in the LTE system through static configuration. When the network load increases, operators manually perform capacity expansion operations; and when the network load decreases, capacity reduction operations are performed. [0004] In recent years, with the rapid growth of LTE users, especially the introduction of "unlimited data packages", the load on LTE networks has increased dramatically. [0005] In summary, the problems in the prior art are: [0006] The existing manual carrier scheduling method can no longer meet the requirements, and its shortcomings a...

AI Technical Summary

Problems solved by technology

[0006] The existing manual carrier scheduling method can no longer meet the requirements, and its shortcomings and limitations are reflected in the following aspects: First, manual adjustment is inefficient, and the cycle exceeds 24 hours, making it difficult to achieve a balanced effect;

[0007] Second, it is difficult to cope with the tidal effect of traffic (such as the periodic business changes in the office area where the business volume is high during the day and the business volume is low at night);

[0008] Third, manual adjustment of resource utilization is inefficient, resulting in waste of carrier resources

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