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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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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
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id	my.uniten.dspace-29738
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spelling	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
institution	Universiti Tenaga Nasional
building	UNITEN Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Tenaga Nasional
content_source	UNITEN Institutional Repository
url_provider	http://dspace.uniten.edu.my/
topic	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
spellingShingle	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
description	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.
author2	15128307800
author_facet	15128307800 Kiong T.S. Ismail M. Hassan A.
format	Conference paper
author	Kiong T.S. Ismail M. Hassan A.
author_sort	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
publisher	Institute of Electrical and Electronics Engineers Inc.
publishDate	2023
_version_	1806427790625472512
score	13.222552

Teletraffic performance of mobile cellular channel assignment using genetic algorithm

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