Performance enhancement for microcell planning using simple genetic algorithm

Microcell planning is quite different from the cell planning used for macrocells. For achieving efficient cell planning, it is necessary to understand the propagation characteristics of microcell systems. In this paper, we present the propagation measurement results at the campus area located at urban Taipei city. We verify that the Walfisch-Ikegami model is an accurate model for predicting path loss in microcell systems. Based on the Walfisch-Ikegami model and digitized building information, cell planning using a simple genetic algorithm is presented. The optimum solution for base station numbers, locations, antenna heights, and transmitting power can be achieved. On other hand, due to capacity demand and coverage requirement, the existing system must be enhanced. We also present the simulation results for system enhancement using the simple genetic algorithm with the help of digitized building information and the Walfisch-Ikegami model.