Designing Cellular Networks Using Particle Swarm Optimization and Genetic Algorithms
The demand for cellular systems has increased drastically 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 assignment planning. In this paper, the authors propose a methodology to tackle the former using Particle Swarm Optimization and the latter using genetic algorithms. They had to adapt the Particle Swarm Optimization algorithm, since they have associated the position of the radio base stations to the particle positions in the search space. They also developed two mechanisms to avoid the overlap among the cells and to maximize the coverage of the entire system.