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dc.contributorMulti-disciplinary Studiesen_US
dc.contributorDepartment of Managementen_US
dc.creatorLeung, Chi-wai-
dc.identifier.urihttps://theses.lib.polyu.edu.hk/handle/200/4722-
dc.languageEnglishen_US
dc.publisherHong Kong Polytechnic University-
dc.rightsAll rights reserveden_US
dc.titleA binary linear programming approach to the channel assignment problem in the cellular mobile networken_US
dcterms.abstractThe channel assignment problem (CAP), i.e., the task to assign the channels to the radio base stations in a spectrum efficient way, is an NP-complete optimisation problem occurring during the design of a cellular mobile system. So far, such problem has been solved by different methods like simulated annealing, neural network, graph colouring algorithm, Tabu search and genetic algorithm. In this report, we deal with optimal fixed channel assignment for mobile cellular network using binary linear programming (BLP) method. The CAP problem has been formulated as an integer linear programming (ILP) problem including channel requirements and electromagnetic compatibility constraints. For the solution of the resulting formulation, a commercial linear programming solver - LINGO has been used. Example is taken from data of a real cellular mobile network which is operating in the Guangxi province of China. The electromagnetic compatibility constraints are based on actual interference measurements and the handover relations of the network. Because of the huge size of the network, only a small area has been selected for the example/test case of the CAP model. On the other hand, an exact optimal solution is difficult to reach or even presently out of reach in such huge network. However, a heuristic technique has been proposed to deal with a large scale network.en_US
dcterms.extentv, 80 leaves : ill. (some col.) ; 30 cmen_US
dcterms.isPartOfPolyU Electronic Thesesen_US
dcterms.issued2000en_US
dcterms.educationalLevelAll Masteren_US
dcterms.educationalLevelM.Sc.en_US
dcterms.LCSHMobile communication systemsen_US
dcterms.LCSHHong Kong Polytechnic University -- Dissertationsen_US
dcterms.accessRightsrestricted accessen_US

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Please use this identifier to cite or link to this item: https://theses.lib.polyu.edu.hk/handle/200/4722