GSM (global system for mobile communications) cell parameter optimization method based on traffic modeling and traffic prediction

Abstract

The invention discloses a GSM cell parameter optimization method based on traffic modeling and traffic prediction. The method comprises collecting communication information of a cell according to the scene type of the cell; constructing a self-adaptive three-dimensional matrix of the cell parameter according to the communication information of the cell, the actual traffic, the half-rate parameter setting, and the TCH (traffic channel) congestion number of the cell to obtain a cell traffic model; predicting traffic of the cell; calculating the predicted traffic of the cell; and inputting the predicted traffic of the cell and the cell channel configuration information into the cell traffic model to obtain a half-rate threshold set value of the cell. The method provided by the invention can realize the self-adaptive optimization of the cell parameters through traffic modeling and traffic prediction, thereby effectively improving the equilibrium problem of the network capacity and quality, and improving the network quality.

Description

technical field [0001] The invention relates to wireless network optimization technology in the field of mobile communication, in particular to a GSM cell parameter self-adaptive optimization method based on traffic modeling and traffic prediction technology. Background technique [0002] GSM network optimization technology continues to be refined and intelligentized with the development of the network. The improvement of optimization methods and the innovation of optimization ideas have become the fundamental methods to tap network potential and improve network performance. The game of network capacity and quality has always been the focus of optimization. Every time the network is optimized, a large proportion of workload is used to deal with the combination of network capacity and quality. Improve the access performance and integrity performance of the network through various means. [0003] The methods used to solve the problem of network capacity and quality game are...

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Problems solved by technology

[0010] Therefore, the above methods have problems such as hysteresis, high granularity statistics requirements, and unsatisfactory results.

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