Genetic Algorithms and Fuzzy Logic For Dynamic Channel Allocation in Cellular Radio Networks
Jing An, E.L. Hines, Mark Stephen Leeson, Lan Xiang Sun, Wei Zhong Ren, Daciana D. Iliescu · 2007
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