Coverage self-optimization method of cellular mobile communication system

Abstract

The invention relates to a coverage self-optimization method of a cellular mobile communication system, and is used for solving the problems of poor coverage, polluted pilot frequency and cross-area coverage. The method comprises the following steps of: measuring and reporting respective reference signal received power (RSRP) and respective signal-to-interference plus noise ratio (SINR) parameter values to a base station by each user; collecting the measurement parameter values reported by all users in a cell by the base station; judging whether the current network is in accordance with any one trigger condition of the three coverage problems; triggering a coverage self-optimization process based on dynamic adjustment on a lower dip angle of an antenna if the current network is in accordance with the condition and then adjusting the lower dip angle according to a preset scheme to solve the coverage problem; continuously adjusting an antenna azimuth angle and wave beam width or performing down-regulation on transmission power of the base station according to specific scenes and user types if the coverage requirement cannot be met within the adjustable ranges of the lower dip angle; and entering a coverage and capacity self-optimization process if the coverage problem cannot be solved by the measures. According to the method, each cell periodically initiates coverage liberalization operation for many times according to the steps so as to save manpower and material resources required by manual optimization and reduce the maintenance cost and the expenditure.

Description

technical field [0001] The invention relates to a method for realizing coverage self-optimization of a cellular mobile communication system, belonging to the technical field of wireless cellular mobile communication. Background technique [0002] The next-generation broadband cellular mobile communication system (IMT-Advanced) is very different from the traditional cellular network in terms of technology and network structure, as well as business support and service environment. The specific performance is that it adopts many advanced technologies, such as: multiple Input multiple output (MIMO), wireless relay, inter-cell interference coordination and carrier aggregation, etc. In order to reduce defects such as transmission delay, the system adopts a flat network structure, which changes the traditional centralized control mode, and uses negotiation between base stations to allocate and switch wireless resources. In order to meet indoor high-speed and green communication re...

AI Technical Summary

Problems solved by technology

[0008] In view of this, the purpose of the present invention is to provide a coverage self-optimization method of a cellular mobile communication system to solve various downlink coverage problems such as weak coverage, pilot pollution, and cross-area coverage in the current prior art network. Various communication problems, ensure the quality of service of edge users and the overall throughput of the cell, and improve the utilization of wireless resources

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