Channel allocation in cellular radio networks
Computers and Operations Research
Swarm intelligence
Using a genetic algorithm approach to solve the dynamic channel-assignment problem
International Journal of Mobile Communications
Parameter selection of a Particle Swarm Optimisation dynamics by closed loop stability analysis
International Journal of Computing Science and Mathematics
Channel assignment schemes for cellular mobile telecommunication systems: A comprehensive survey
IEEE Communications Surveys & Tutorials
The particle swarm - explosion, stability, and convergence in amultidimensional complex space
IEEE Transactions on Evolutionary Computation
Static and dynamic channel assignment using neural networks
IEEE Journal on Selected Areas in Communications
A dynamic channel assignment policy through Q-learning
IEEE Transactions on Neural Networks
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This paper deals with the Channel Assignment Problem (CAP) in a hexagonal cellular network. The CAP in cellular network is known to belong to the class of Non Deterministic Polynomial (NP) complete optimisation problems. This problem is being solved by tools like simulated annealing, neural networks, Genetic Algorithm (GA) and other heuristic methods. In this paper, a Modified Particle Swarm Optimisation (MPSO) algorithm has been developed for CAP. The proposed approach mainly focuses on accelerating the convergence speed. The performance of the proposed approach is analysed by applying it to a well-known benchmark problem. The result of MPSO algorithm shows that the proposed technique is an attractive one than the other existing techniques.