Social Network Device-to-Device Communication in Wireless Networks

Device-to-device (D2D) communication is seen as a major technology to overcome the looming wireless capacity trouble and to enable new application services. In this paper, a novel social network approach for optimizing D2D communication by exploiting two layers, namely the physical wireless network layer and the social network layer, is proposed. In particular, the physical layer D2D network is captured via the users encounter histories. Subsequently, an approach, based on the model the distribution of con tents in the users’ online social networks, a algorithm for optimizing the traffic offloading process in D2D communications is developed based on the given the social relations collected by the base station. In addition, the Chernoff bound and approximated cumulative distribution function (cdf) of the offloaded traffic are derived and the validity of the bound and cdf is proven. Simulation results based on real traces demonstrate the effectiveness of our model and show that the proposed approach can offload the network’s traffic successfully.