Genetic algorithms with stochastic ranking for optimal channel assignment in mobile communications

Authors:
Lipo Wang;Wen Gu
Affiliations:
College of Information Engineering, Xiangtan University, Xiangtan, Hunan, China;School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore
Venue:
CIS'04 Proceedings of the First international conference on Computational and Information Science
Year:
2004

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Abstract

Optimal channel assignment can enhance traffic capacity of a cellular mobile network and decrease interference between calls, thereby improving service quality and customer satisfaction. We combine genetic algorithms with stochastic ranking, to solve the problem of assigning calls in a cellular mobile network to frequency channels in such a way that interference between calls is minimized, while demands for channels are satisfied. Simulation results showed that this approach is able to further improve on the results obtained by some other techniques.