A Distributed Interference Alignment Algorithm for Device-to-Device Communications with Multiple Antennas Underlaying Cellular Networks

In this paper, we consider the device-to-device (D2D) communications with multiple antennas underlaying single-cell cellular networks, in which D2D transmission links reuse the cellular downlink (DL) resource. We propose an iterative distributed interference alignment (IA) algorithm to reduce the cellular interference towards D2D UEs, which utilizes the reciprocity of wireless networks with local channel knowledge at each node. The iteration algorithm continues until it converges, judged by the weighted leakage interference (WLI). Simulation results demonstrate that using the distributed interference alignment algorithm can effectively improve the system capacity and energy efficiency.