Title :
The automatic location of base-stations for optimised cellular coverage: a new combinatorial approach
Author :
Molina, A. ; Athanasiadou, G.E. ; Nix, A.R.
Author_Institution :
Centre for Commun. Res., Bristol Univ., UK
Abstract :
The cost and complexity of a network is closely related to the number of base-stations (BSs) required to achieve the system operator´s service objectives. The location of BSs is not an easy task and there are numerous factors that must be taken into account when deciding the optimum position of BSs. This paper discusses the performance of three different algorithms developed to solve the BS location problem: the greedy algorithm (GR), the genetic algorithm (GA) and the combination algorithm for total optimisation (CAT). These three methods are compared and results are given for a typical test scenario
Keywords :
cellular radio; combinatorial mathematics; genetic algorithms; radio networks; UMTS; algorithm performance; automatic base-station location; cellular network-planning; combination algorithm for total optimisation; combinatorial approach; genetic algorithm; greedy algorithm; multimedia services; network complexity; network cost; optimised cellular coverage; test scenario; total optimisation; 3G mobile communication; Costs; Electronic mail; Genetic algorithms; Greedy algorithms; Land mobile radio cellular systems; Microcell networks; Next generation networking; Testing; Traffic control;
Conference_Titel :
Vehicular Technology Conference, 1999 IEEE 49th
Conference_Location :
Houston, TX
Print_ISBN :
0-7803-5565-2
DOI :
10.1109/VETEC.1999.778212