期刊名称：International Journal of Computer Information Systems and Industrial Management Applications
印刷版ISSN：2150-7988
电子版ISSN：2150-7988
出版年度：2012
卷号：4
页码：496-505
出版社：Machine Intelligence Research Labs (MIR Labs)
摘要：The demand for cellular systems has increased dras- tically in recent years. To design such networks is not a simple task and computational tools to assist network designers can be very helpful. The design of a cellular network can be divided in two minor problems: the maximum coverage and channel as- signment planning. In this paper, we propose a methodology to tackle the former using Particle Swarm Optimization and the latter using genetic algorithms. We had to adapt the Particle Swarm Optimization algorithm, since we have associated the position of the Radio Base Stations to the particle positions in the search space. We also developed two mechanisms to avoid the overlap among the cells and to maximize the coverage of the entire system. We tested our approach in two scenarios in dif- ferent configurations. For the channel assignment planning, we adapted the crossover and the mutation operators in order to define which channels should be used in each cell. We believe the preliminary results are very encouraging and with future works we can develop a commercial tool to solve the real prob- lem.
