Traffic Differentiation-Based Network Selection Scheme in Wireless Heterogeneous Networks

Abstract

To process increasing data traffic, one of the most effective solutions is data offloading. Processing data traffic in heterogeneous networks (HetNets) based on loaded traffic conditions improves the user throughput. In this case, user traffic needs to be divided taking account of the difference in the transmission rate among networks. When a macro base station (BS) provides wireless resources for user equipment (UE) of good channel quality near the macro BS, higher user throughput is expected. However, at the macro cell edge, the transmission performance of UEs in a micro cell deteriorates. To reduce this inconvenience, by processing the loaded traffic appropriately using a macro BS and micro BS, we can obtain higher user throughput. This paper proposes wireless resource allocation based on loaded traffic conditions and the position of BSs with ON-OFF switching according to the channel quality in HetNets. Simulation results show the effectiveness of the proposed method, especially when the data loss ratio of the macro cell is low and that of micro cells is high. The proposed method is effective for a damage-resistant system against natural disasters and an automatic driving system in an intelligent transport system (ITS).