An Efficient Phase Based Imperfect Interference Alignment Scheme for 3-User Asymmetric Constant Channel

Long Suo, Jiandong Li, Hongyan Li, Miao Pan

Abstract: Interference alignment (IA) is an emerging interference management approach which fully exploits the potential spatial bandwidth in wireless networks, achieving optimal DOF. However, perfect IA is almost unaccessible for 3-user complex constant interference channel without symbol extension. For this, an efficient phase based imperfect interference alignment scheme is proposed in this paper, which uses a deviation compensation factor (DCA) to measure how much the practical channel coefficients deviate from perfect IA feasibility condition. The DCA is allocated to receivers based on a Minimum Interference Leakage (MIL) criterion. Simulation results shows that the MIL based DCA, Max-SINR and TDMA algorithms perform better in different SNR regions, and the proposed scheme can be improved with proper switch between different strategies.