Teletraffic performance of mobile cellular channel assignment using genetic algorithm

Abstract

Teletraffic performance of channel assignment strategy with and without genetic algorithm (GA) integration is presented in this paper. Genetic algorithm (GA) D. Goldberg (1989) J.H. Holland (1975) which is a well-known method in solving various types of complex mathematical is integrated into ordinary channel assignment strategies to design a conflict-free channel assignment strategy that satisfies both the electromagnetic compatibility (EMC) constraints and traffic demand requirements W.K. Lai et al. (1996). The teletraffic performance is based on grade of service (GoS) of mobile cellular-system that can be predicted using Erlang-B and through simulation. Good agreement is obtained between the predicted results and simulation data. The simulation results show that GA has improved the GoS (grade of service) of cellular radio system in the aspect of blocking probability and C/I (carrier-to-interference ratio) median in mobile cellular system.