A New Fixed Channel Assignment Algorithm Using Adaptive Mutation Particle Swarm Optimization mo 7 amed

The limited availability of channel resources offers a bottleneck on the allocation of channels to subscribers in wireless mobile communication systems. The role of a channel assignment scheme is to allocate channels to cells or mobiles in such a way as to minimize call blocking probability under the EMC constraints. Channel assignment is known to be an NP-hard optimization problem. In this paper we propose a novel and efficient channel assignment approach, adaptive mutation particle swarm optimization. The novel algorithm can find optimal solutions to the 7-benchmark problems more than the most existing algorithms in the literature. The results are compared with those obtained by applying Genetic Algorithm and standard PSO. It has been shown that the developed AHPSO global best algorithm is faster in convergence and the obtained results are proved to have lower blocking probability than the other two algorithms.