Conference Paper

Genetic algorithms for optimal channel assignment in mobile communications

Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore
DOI: 10.1109/ICONIP.2002.1202815 Conference: Neural Information Processing, 2002. ICONIP '02. Proceedings of the 9th International Conference on, Volume: 3
Source: IEEE Xplore

ABSTRACT Since the usable frequency spectrum is limited, optimal assignment of channels is becoming more and more important. It can greatly enhance the traffic capacity of a cellular system and decrease interference between calls, thereby improving service quality and customer satisfaction. In this paper, we use genetic algorithms (GA) 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. This channel assignment problem is known to be a difficult optimization problem. Simulation results showed that the GA approach is able to further improve on the results obtained by other techniques.

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