Genetic Algorithms and Fuzzy Logic For Dynamic Channel Allocation in Cellular Radio Networks

An integrated artificial intelligence optimised cellular radio channel allocation and call dropping algorithm is presented. The components of the system comprise a new Genetic Algorithm (GA) based channel allocation scheme, and a novel application of Fuzzy Logic to call dropping technique. The new method is compared to both random allocation and to a conventional allocation approach. The results show improvements of 30% in the signal-to-interference ratio and 10% in the uniformity of the traffic across the cells in the system. Furthermore, up to 80% fewer calls are dropped using the new methodology.