Title :
Teletraffic performance of mobile cellular channel assignment using genetic algorithm
Author :
Kiong, Tiong Sieh ; Ismail, Mahamod ; Hassan, Azmi
Author_Institution :
Coll. of Eng., Univ. Tenaga Malaysia, Kajang, Malaysia
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.
Keywords :
cellular radio; channel allocation; electromagnetic compatibility; genetic algorithms; telecommunication traffic; EMC; Erlang-B; blocking probability; carrier-to-interference ratio; cellular radio system; conflict-free channel assignment strategy; electromagnetic compatibility; genetic algorithm; grade of service; mobile cellular channel assignment; teletraffic performance; traffic demand requirement; 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;
Conference_Titel :
Communications, 2003. APCC 2003. The 9th Asia-Pacific Conference on
Print_ISBN :
0-7803-8114-9
DOI :
10.1109/APCC.2003.1274404
