Heterogeneous network operation and maintenance management method based on user perception

Abstract

The invention discloses a heterogeneous network operation and maintenance management method based on user perception. The method comprises the steps that 1, heterogeneous network operation and maintenance data are collected by a base station and a network monitoring node; 2, the obtained heterogeneous network operation and maintenance data are processed in a unified mode, and a unified operation and maintenance data model is built; 3, correlation analysis is carried out on the heterogeneous network operation and maintenance data and network faults according to the built operation and maintenance data model to achieve network fault positioning; 4, the network node independently analyzes the positioned faults, adjusts corresponding operation and maintenance data and achieves fault self recovering and network optimization. After network operation and maintenance data excavation analysis and network fault positioning, network self recovering is achieved by optimizing network parameters, user experience is improved, and network intelligent operation and maintenance are achieved.

Description

technical field [0001] The invention belongs to the network intelligent operation and maintenance technology in the technical field of wireless network communication, and in particular relates to a heterogeneous network operation and maintenance management method based on user perception. Background technique [0002] The future network is a heterogeneous converged network with multiple access technologies and multi-level deployment. network, so that the network is reconfigurable, and the interoperability caused by the coexistence of various technical systems and the large number of applications of home network elements Home NodeB are prone to generate a large number of network alarm information and network faults, making future network management and operation and maintenance changes. become more and more complicated. Huge amount of planning, maintenance and optimization parameters make the traditional manual operation impossible. The increasing operation and maintenance ...

AI Technical Summary

Problems solved by technology

[0003] At present, the most common method is to manually analyze network problems, and then perform exploratory fault location and optimization. However, the results of optimization are very rough, which cannot accurately and timely locate network faults, and cannot meet the growing experience needs of users.

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