A Practical Base Station Location Optimization Based On Four Networks Integration

Abstract

2G, 3G, 4G and WLAN (Wireless Local Area Networks) form the four network integration. The communication transmission rate and the related spectrum efficiency are limited in traditional mobile communication. Depending on key technology of four network integration, TD-LTE (Time Division Long Term), upward peak rate could be up to 50Mbps unit and descending peak rate reaches up to 100Mbps unit. But the relation between 2G, 3G, 4G and WLAN is complicated. The incorrect station location may increase the cost of network system, and even bring great difficulties to the network operation and maintenance. Because determining base station location appropriately is essential, we max the research between the genetic algorithm and the greedy algorithm to solve this issue. In this paper, relay wireless backhaul technology is assumed, and two types of base stations, RuralStar station and butterfly antenna station, are considered. In order to find out the best base station allocation to achieve the minimum cost and the maximum coverage, we make use of subpopulation initialization, fracture hybridization and mutation of genetic algorithm based on greedy algorithm.