Abstract

This paper studies channel allocation strategies in mobile communication systems. Simulated incoming telecommunication traffic have been used as traffic load for performance analysis of the channel allocation strategies in mobile cellular networks. Information sources are represented by Markov process, while offered telecommunication traffic is presented by Monte-Carlo simulation. The influence of traffic load parameter and space traffic imbalances on the quality of service and total throughput of the mobile network have been studied. Comparative studies of the fixed channel allocation strategy (FCA), interference adaptive dynamic channel allocation strategy (IA-DCA) and maximum packing channel allocation (MPA) show that dynamic allocation schemes (IA-DCA, MPA) outperform fixed channel allocation schemes in all but heavily loaded systems with little space traffic load imbalance.

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