Publication:
Teletraffic performance of mobile cellular channel assignment using genetic algorithm

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dc.citedby0
dc.contributor.authorKiong T.S.en_US
dc.contributor.authorIsmail M.en_US
dc.contributor.authorHassan A.en_US
dc.contributor.authorid15128307800en_US
dc.contributor.authorid7401908770en_US
dc.contributor.authorid57226304105en_US
dc.date.accessioned2023-12-28T08:08:39Z
dc.date.available2023-12-28T08:08:39Z
dc.date.issued2003
dc.description.abstractTeletraffic 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.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo1274404
dc.identifier.doi10.1109/APCC.2003.1274404
dc.identifier.epage480
dc.identifier.scopus2-s2.0-84947345372
dc.identifier.spage477
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84947345372&doi=10.1109%2fAPCC.2003.1274404&partnerID=40&md5=87ab7adeea8bd1c61dd8bad802f616c7
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/29738
dc.identifier.volume2
dc.pagecount3
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitleAPCC 2003 - 9th Asia-Pacific Conference on Communications, in conjunction with 6th Malaysia International Conference on Communications, MICC 2003, Proceedings
dc.subjectAlgorithm design and analysis
dc.subjectEducational institutions
dc.subjectElectromagnetic compatibility
dc.subjectGenetic algorithms
dc.subjectGenetic engineering
dc.subjectLand mobile radio cellular systems
dc.subjectOptimization methods
dc.subjectPredictive models
dc.subjectSimulated annealing
dc.subjectTraffic control
dc.subjectAlgorithms
dc.subjectAspect ratio
dc.subjectBlocking probability
dc.subjectCellular arrays
dc.subjectCellular radio systems
dc.subjectCellular telephone systems
dc.subjectElectromagnetic compatibility
dc.subjectGenetic engineering
dc.subjectGlobal system for mobile communications
dc.subjectMobile radio systems
dc.subjectMobile telecommunication systems
dc.subjectOptimization
dc.subjectSimulated annealing
dc.subjectTraffic control
dc.subjectAlgorithm design and analysis
dc.subjectEducational institutions
dc.subjectLand mobile radio cellular systems
dc.subjectOptimization method
dc.subjectPredictive models
dc.subjectGenetic algorithms
dc.titleTeletraffic performance of mobile cellular channel assignment using genetic algorithmen_US
dc.typeConference paperen_US
dspace.entity.typePublication
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