Content Independent Location Based Clustering for 5G Device to Device Communications

Abstract

In this paper we have addressed a content independent location based clustering technique for fifth generation device-to-device (D2D) communications. Our objective is to serve a suitable number of requesting D2D pairs through an overlay cluster based communication irrespective of their content. To do so we have described a framework for the proposed approach addressing the required parameters. We then developed an analytical model of a novel cluster-head selection strategy using the concept of sparse matrix. Based on these, a location based cluster formation (LBCF) algorithm has been designed for maximizing the service coverage taking care of the inter-cluster interference through proper power tuning and appropriate resource allocation. Extensive simulations have been performed using network simulator 2 for the evaluation of our proposed LBCF approach. It has been shown that LBCF confirms notable service coverage and achieves desirable throughput in comparison to a non-cluster approach. The efficiency of resource utilization is also established. Simulation results show that the proposed approach is efficient enough to provide uniform signal coverage to the members of the same cluster and gives a comparable performance with other existing approaches. Finally the novelty of the proposed LBCF is established through a sensitivity analysis.