Teletraffic performance of mobile cellular channel assignment using genetic algorithm
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 ordina...
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my.uniten.dspace-297382023-12-28T16:08:39Z Teletraffic performance of mobile cellular channel assignment using genetic algorithm Kiong T.S. Ismail M. Hassan A. 15128307800 7401908770 57226304105 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 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. Final 2023-12-28T08:08:39Z 2023-12-28T08:08:39Z 2003 Conference paper 10.1109/APCC.2003.1274404 2-s2.0-84947345372 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84947345372&doi=10.1109%2fAPCC.2003.1274404&partnerID=40&md5=87ab7adeea8bd1c61dd8bad802f616c7 https://irepository.uniten.edu.my/handle/123456789/29738 2 1274404 477 480 Institute of Electrical and Electronics Engineers Inc. Scopus |
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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 |
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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 Kiong T.S. Ismail M. Hassan A. Teletraffic performance of mobile cellular channel assignment using genetic algorithm |
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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. |
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15128307800 |
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15128307800 Kiong T.S. Ismail M. Hassan A. |
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Conference paper |
author |
Kiong T.S. Ismail M. Hassan A. |
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Kiong T.S. |
title |
Teletraffic performance of mobile cellular channel assignment using genetic algorithm |
title_short |
Teletraffic performance of mobile cellular channel assignment using genetic algorithm |
title_full |
Teletraffic performance of mobile cellular channel assignment using genetic algorithm |
title_fullStr |
Teletraffic performance of mobile cellular channel assignment using genetic algorithm |
title_full_unstemmed |
Teletraffic performance of mobile cellular channel assignment using genetic algorithm |
title_sort |
teletraffic performance of mobile cellular channel assignment using genetic algorithm |
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Institute of Electrical and Electronics Engineers Inc. |
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2023 |
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1806427790625472512 |
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