Social Network Enhanced Device-to-Device Communication Underlaying Cellular Networks

TL;DR

This paper introduces a social-aware method for optimizing device-to-device communication in cellular networks by leveraging social and physical layers, improving traffic offloading efficiency.

Contribution

It models D2D networks using encounter histories and social network data, and jointly optimizes traffic offloading with a novel Indian Buffet Process-based approach.

Findings

Effective traffic offloading demonstrated in simulations

Chernoff bound and CDF accurately predict offloaded traffic

Numerical results confirm approach's success with real traces

Abstract

Device-to-device (D2D) communication has seen as a major technology to overcome the imminent wireless capacity crunch and to enable new application services. In this paper, we propose a social-aware approach for optimizing D2D communication by exploiting two layers: the social network and the physical wireless layers. First we formulate the physical layer D2D network according to users' encounter histories. Subsequently, we propose an approach, based on the so-called Indian Buffet Process, so as to model the distribution of contents in users' online social networks. Given the social relations collected by the Evolved Node B (eNB), we jointly optimize the traffic offloading process in D2D communication. In addition, we give the Chernoff bound and approximated cumulative distribution function (CDF) of the offloaded traffic. In the simulation, we proved the effectiveness of the bound and CDF. The numerical results based on real traces show that the proposed approach offload the traffic of eNB's successfully.