DocumentCode :
2441231
Title :
Fixed cellular network optimisation
Author :
Tabbana, Faïza ; Tabbane, Sami ; Frikha, Mounir
Author_Institution :
Unite de recherche en Technol. de l´´Information et de la Commun., Ecole Superieure des Commun. de Tunis, Cite El Ghazala, Tunisia
fYear :
2005
fDate :
2005
Firstpage :
76
Abstract :
Summary form only given. In this paper, we propose an approach to model the fixed cellular network planning problem as a multi-criteria combinatorial optimisation problem. The first step is to affect the BTSs to the BSCs, then the location areas (LAs) are designed and finally the BSCs are assigned to the MSCs. The multiplicity of the constraints and possible configurations, the discrete character of the problem and the non linearity of the cost functions are as much factors that contribute to the complexity of this problem. In this paper, we search for an optimal method for optimising a fixed cellular network. For that purpose, we provide two heuristic algorithms based on simulated annealing and genetic algorithm. The procedure, consists essentially to modify in an iterative way an initial solution, trying to meet all the constraints.
Keywords :
cellular radio; combinatorial mathematics; communication complexity; genetic algorithms; iterative methods; simulated annealing; telecommunication network planning; constraint multiplicity; cost function nonlinearity; fixed cellular network optimisation; fixed cellular network planning problem; genetic algorithm; location areas; multicriteria combinatorial optimisation problem; simulated annealing; Base stations; Cost function; Genetic algorithms; Heuristic algorithms; Land mobile radio cellular systems; Linearity; Optimization methods; Simulated annealing; Technology planning; Telecommunication traffic;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Systems and Applications, 2005. The 3rd ACS/IEEE International Conference on
Print_ISBN :
0-7803-8735-X
Type :
conf
DOI :
10.1109/AICCSA.2005.1387070
Filename :
1387070
Link To Document :
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