Abstract—Interference alignment (IA) is one of the promising technologies to solve the co-channel interference in wireless communication systems. It can effectively improve system capacity and reliability. Based on consideration of engineering applications, the realization of interference alignment for three-cell MIMO cooperative communication system is studied and then a precoding matrices group selection method based on the maximum of total system signal interference noise ratio (Max-SINR) criterion was proposed in this paper. Firstly, all the transformation matrices in cooperative communication system are calculated, and the precoding basis is selected according to the Max-SINR criterion. Secondly, the precoding matrices and interference suppression matrices are designed and optimized based on the singular value decomposition of channel and the maximum chord distance of matrix. Simulation results show that, the proposed optimized algorithm outperforms other known interference alignment algorithms in terms of throughput and the energy efficiency. Further, the optimized algorithm also has advantage in spatial-correlated channel and has better engineering applicability than other algorithms.

Index Terms—Green communications, multiple-input multiple-output, interference alignment, precoding, massive multiple-input multiple-output

Cite: Yun Liu and Lijun Zhai, "An Optimized Interference Alignment Algorithm Based on Max-SINR Criterion for MIMO System," Journal of Communications, vol. 10, no. 6, pp. 450-456, 2015. Doi: 10.12720/jcm.10.6.450-456