Symbol Detection Aided MMSE and Max-SINR Hybrid Interference Alignment

Abstract

Interference alignment (IA) is a new breakthrough in interference suppression technology of multiple input multiple output (MIMO) system in recent years. This technology can obtain higher system capacity than traditional interference suppression technology. In IA, the transmitter and receiver must be designed jointly, which is normally difficult to be realized. How to improve the system performance has become the focus of researchers. In this paper, based on the traditional minimum mean square error (MMSE) iterative algorithm and maximum signal-to-interference-plus-noise ratio (Max-SINR) iterative algorithm, a symbol detection aided MMSE and Max-SINR hybrid (SDA-MMSE and Max-SINR hybrid) iterative algorithm is proposed. The simulation results show that the proposed algorithm has better performance than the traditional algorithm. Meanwhile, the proposed algorithm has the same performance compared to SDA-MMSE.