A smart resource allocation algorithm for D2D communications in cellular networks -

Abstract

In LTE Rel-12, 3GPP proposed device-to-device (D2D) communications as a promising solution to the tremendous increase in the number of mobile users and bandwidth requirements, which has put strict limitations on the already congested spectrum. In D2D, users can directly communicate with each other bypassing the base station, which leads to many benefits regarding throughput, spectral efficiency, power consumption, and hop gain. However, this new technology introduces many challenges, one of which is resource allocation, whereby users communicate with each other on a particular band at a specific time interval. In this thesis, we address this problem and target to satisfy the aforementioned requirements, by implementing a smart spectrum reuse algorithm for both single-hop and two-hop communications in single and multi-cell scenarios where frequencies can be shared between cellular and D2D devices while guaranteeing a good link quality. We also introduce a clustering algorithm along with an optimal cluster head and resource selection and show the effect of the two optimizations. We simulate several case scenarios to validate the proposed algorithms. Compared to existing schemes, our results show an increase in throughput by 44percent to 66percent, spectral efficiency ranging from 17percent to 24percent, a better SINR and capacity distribution function, and a lower outage probability ranging from 10percent to 62percent.