A Novel Iterative Interference Alignment Scheme Via Convex Optimization for the MIMO Interference Channel

With the rapid development of wireless communication, more attention is paid to the distributed Multiple Input Multiple Output (MIMO) communication systems. Earlier studies have determined the degrees of freedom for various distributed multi-user MIMO systems. In this paper, the authors propose a novel Interference Alignment (IA) scheme via convex optimization based on minimum mean square error criterion subject to individual transmit power constraints for the MIMO interference channel system. They show that transceiver under such criterion can be realized through an efficient iterative algorithm. The convergence of the proposed algorithm is discussed. Simulation results show that the proposed scheme outperforms the existing IA schemes with fast convergence.