Capacity and coverage combined optimization method in heterogeneous dense network

Abstract

The invention discloses a capacity and coverage combined optimization method in a heterogeneous dense network, relates to the heterogeneous dense SON self-organizing network field. According to the method, a network average spectrum efficiency and edge spectrum efficiency combined optimization method for carrying out small cell power control based on fuzzy logic and Q study is used. The method of the invention comprises following steps that: firstly, the dense small cells measures network average spectrum efficiencies and edge spectrum efficiencies in an adjusting period according to the measurement report information on a moving table; then the powers of the dense small cells, the average spectrum efficiencies and the edge spectrum efficiencies are taken as the input variables of the fuzzy logic; the self-optimizing control processing of the fuzzy logic and Q study is carried out; and the network is self-adaptively converged to ideal capacity and coverage combined optimization adjusting sate. According to the method, the capacity and coverage problems in deploying high dense small cells is effectively improved by an online study mode; the problems are caused by irrational power setting; and the method has certain practicability.

Description

technical field [0001] The invention relates to the technology in the field of wireless communication networks, in particular to a capacity and coverage optimization (CCO) method under the SON functional framework of a heterogeneous dense network. Background technique [0002] With the full commercialization of 4G standard networks, the mobile Internet has entered an era of rapid development, and its requirements for the capacity of future wireless communication networks are getting higher and higher. In order to meet the business needs of users and ensure the continuous wide-area coverage of the network, in the LTE heterogeneous cellular network, on the basis of the basic network coverage provided by the traditional macro base station, small cells are deployed in hotspot areas to meet the business needs of hotspots. and capacity requirements. In the next-generation wireless communication network, the deployment of ultra-dense heterogeneous networks has been recognized as a...

AI Technical Summary

Problems solved by technology

However, capacity and coverage optimization methods based on power control for dense small cell deployment in hotspot areas have rarely appeared and been applied.

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