Publication: Teletraffic performance of mobile cellular channel assignment using genetic algorithm
Date
2003
Authors
Kiong T.S.
Ismail M.
Hassan A.
Journal Title
Journal ISSN
Volume Title
Publisher
Institute of Electrical and Electronics Engineers Inc.
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. � 2003 IEEE.
Description
Keywords
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 , Electromagnetic compatibility , Genetic engineering , Global system for mobile communications , Mobile radio systems , Mobile telecommunication systems , Optimization , Simulated annealing , Traffic control , Algorithm design and analysis , Educational institutions , Land mobile radio cellular systems , Optimization method , Predictive models , Genetic algorithms