Throughput Estimation Based Distributed Base Station Selection in Heterogeneous Networks


Little cells are thought of an emerging technology for increasing the potential capacity of cellular networks. However, because the density of infrastructure increases, users have several decisions for association, and thus, choosing an acceptable base station (BS) becomes an necessary issue. This study aims to provide an improved user association rule, where every user autonomously chooses the best among all the BSs within the vicinity, whereas considering their congestion levels. As the first step, an optimization downside is formulated, that emphasizes each the time-varying nature of the wireless channel and fairness among users. On the idea of this formulation, the influence of a particular handover event on system performance is investigated, and then, 2 versions of the handover frameworks are developed. Simulation results show that the proposed algorithms increase the throughput of every user in the network by 2.8–twelve% compared to the best typical theme. Furthermore, these schemes particularly enhance the performance of users having low service quality by–eighty five%, through economical utilization of the pre-put in infrastructures.

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