Teletraffic performance of mobile cellular channel assignment using genetic algorithm

• Main Authors: Kiong T.S., Ismail M., Hassan A.
• Other Authors: 15128307800
• Format: Conference paper
• Published: Institute of Electrical and Electronics Engineers Inc. 2023
• Subjects: Algorithm design and analysis; Educational institutions; Electromagnetic compatibility; Genetic algorithms; Genetic engineering; Land mobile radio cellular systems; Optimization methods; Predictive models; Simulated annealing; Traffic control; Algorithms; Aspect ratio; Blocking probability; Cellular arrays; Cellular radio systems; Cellular telephone systems; Global system for mobile communications; Mobile radio systems; Mobile telecommunication systems; Optimization; Optimization method
• Institution: Universiti Tenaga Nasional

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. � 2003 IEEE.