Full-Duplex MIMO Relay-Assisted Interference Alignment Algorithm in K-user Interference Channels

In this paper, we investigate the transceiver design schemes for full-duplex multiple-input multiple-output relay-assisted K-user single-input interference channels. Firstly, propose an iterative optimized reference vector IA (IORV-IA) algorithm in perfect channel state information (CSI) scenario. The proposed IORV-IA not only achieves alignment of signals at each receiver, but also iteratively optimizes by orthogonalizing directions and desired signal. With vector, relay processing matrix receiving filter vectors are designed to further improve system performance. Considering that cannot obtain CSIs practice due many factors, performance scheme is very sensitive error. Furthermore, a robust based on mean square error (MSE) imperfect CSI scenario, which minimizes sum MSEs worst case through iteration. algorithms evaluated terms average rate bit simulation results show advantages over existing centralized zero-forcing algorithms.