Localization of BTS using Genetic Algorithm

Wireless Communication, since the beginning of this century has observed enormous advancement The need for the optimal use of available resources has pushed researchers towards investigation of swarm intelligence based optimization algorithms to support designs and planning decisions. Radio coverage generally is affected by variables such as antenna arrangements, base station performance, and the locations of base stations and users. Bio-inspired evolutionary algorithms are probabilistic search methods that simulate the natural biological evolution or the behavior of biological entities. Such algorithms can be used to obtain near optimal solutions in optimization problems, for which traditional mathematical techniques may fail. Genetic algorithm (GA) has found its usage in telecommunications field because of the challenging factors and parameters involve in radio coverage optimization. This work actually considered how to optimally determine locations of Base Transceiver Station (BTS), such that minimum number of BTS can be installed to cover larger number of subscriber at lesser infrastructural cost.