An improved genetic algorithm analysis and application study for urban microcellular network planning

In order to solve the contradiction between spectrum resource and system capacity in the mobile communication system and the radius of the housing estate has been decreasing, the microcell has appeared. In this article, the scheme which combined ray tracing and genetic algorithm were studied to solve the problem of urban microcellular network planning. The author used the ray tracing to calculate the propagating characteristics of the micro-cellular scene in a precise way and the genetic algorithm to find the specific location of the urban microcellular base station. And at the same time, basing on the characteristics of the site selection of the urban microcellular base station, the improved genetic algorithm which proposed in the literature was adopted. The final study shows that basing on the simulation of urban microcells, combining with the scheme of the ray tracing and improving genetic algorithm can solve the problem of urban microcell location.