An approach for interference reduction in cellular network

Abstract

For today's wireless mobile communication systems, efficient use of limited radio spectrum with minimum interferences is required. Minimizing call-blocking probability may raise the interferences, which may increase call dropping probability. Channel assignment schemes i.e. Fixed, Dynamic and Hybrid are used to allocate channels to cells in order to minimize call blocking and call dropping probability. The analytical investigation of these schemes when compared shows Hybrid Channel Allocation(HCA) has less call blocking and less interfering edges with Graph theory-node coloring algorithm. The proposed Genetic Algorithm(GA) approach performs better with HCA in reducing interfering edges, less calls are blocked and less S/I ratio than analytical results with Graph theory.