LTE network planning based on existing base transceiver using a genetic algorithm

Abstract

This paper discusses about an implementation of genetic algorithm in Long Term Evolution (LTE) Network planning. The network planning specifies for a particular provider in Sleman region case that has 119 2G/3G existing base transceivers (BTS). Based on calculation of 4G technology, actually 62 eNodeB are enough to support user capacity in Sleman. A genetic algorithm (GA) is employed to choose 62 out of 119 BTSs that has the maximum coverage. To get the best network planning, the optimization is done in both district and region area. Then, the optimization results are verified using Atoll to get the performance of the network. The verification shows that the optimization result of district area has better performance than the optimization result of region area. However, the optimization result of region area has wider coverage and smaller blankspot than the optimization result of district area.