Personal trajectory based social-aware D2D communication networks

Abstract

As an important part of future wireless communication technology, D2D communication can reduce the pressure of increasing demand for limited radio resources and improve the performance of wireless communication. To further promote the transmission efficiency of D2D communication, researchers combine social networks with it to establish a two-tier model that typically includes social domain and physical domain. This paper presents a personal trajectory based social aware content share solution to D2D communication. Personal trajectory data contains both physical and social information which contacts two domains of the model. The solution of this paper also considers the classification of share contents. Simulation results show that proposed solution improve the performance of D2D transmission.