Self-optimization method for improving concentrated clustering type self-organization network (SON)

Abstract

The invention relates to a self-optimization method for a concentrated clustering type self-organization network (SON), belonging to the field of digital communication. The method comprises the following steps of: gathering cells with stronger relativity into a cluster, arranging SON entities in the cluster and a network management center, coarsely adjusting each cluster firstly, determining whether the parameter such as antenna tilt, antenna azimuth or downlink transmission power of each cell in the cluster needs to be adjusted, and if the parameter needs to be adjusted, outputting a parameter adjusting instruction; adjusting relevant parameters of the corresponding base station in the cluster; after coarse adjustment, computing the capacity and coverage indexes in the cluster by the SON entity in each cluster according to the adjusted parameters; and inputting the capacity and coverage index parameters in each cluster into a SON control ring of the network management center by the network management center, then evaluating the integral capacity and coverage indexes of each cluster, and determining whether to finely adjust the relevant parameters of all base stations in the corresponding clusters. In the invention, coarse adjustment and fine adjustment are carried out sequentially, thereby better achieving global optimization.

Description

technical field [0001] The invention belongs to the field of 4G communication, and in particular relates to an improved method for network self-optimization of a centralized self-organizing network (SON) architecture. Background technique [0002] With the deployment of 3GPP Long Term Evolution (LTE), there are more and more evolved base station (eNB) nodes and network parameters, the network structure is more and more complex, and more and more personnel are required to be engaged in network supervision and maintenance. Rapidly increase the operator's material and human costs. Self-organizing network (SON) emerges at the historic moment under such background. The ultimate goal of SON is to maximize self-configuration, self-optimization and self-healing, increase network capacity, and minimize asset investment and capital investment (CAPEX cost). A cell is an area covered by a base station, and the management center is the upper layer of the base station. , which governs a...

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Problems solved by technology

[0013] The purpose of the present invention is to overcome the shortcoming of traditional centralized SON framework, has proposed a kind of sub-clustering centralized SON network self-optimization method, can effectively solve the time and space complexity high problem of traditional centralized SON network self-optimization method, Make the optimization objective converge as quickly as possible

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