Abstract
The channel assignment problem (CAP), the task to assign the required number of channels to each radio cell in such a way that interference is precluded and the frequency spectrum is used efficiently, is known to be an NP-complete optimization problem. In this paper, we solve CAP using a stochastic chaotic neural network that we proposed recently. The performance of stochastic chaotic simulated annealing (SCSA) is compared with other algorithms in several benchmark CAPs. Simulation results showed that this approach is able to further improve on results obtained by other algorithms. © Springer-Verlag Berlin Heidelberg 2001.
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CITATION STYLE
Li, S., & Wang, L. (2001). Channel assignment for mobile communications using stochastic chaotic simulated annealing. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2084 LNCS, pp. 757–764). Springer Verlag. https://doi.org/10.1007/3-540-45720-8_91
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