Symbol Detection Aided Algorithm for Interference Alignment of Maximum Signal to Interference and Noise Ratio

Abstract

In the K x K multiple-input and multiple-output (MIMO) interference alignment (IA) communication system, for the problem of the traditional maximum signal to noise ratio (MAX-SINR) algorithm's poorly performed, a symbol detection aided maximum signal to interference and noise ratio (SDA-MAX-SINR) algorithm for IA is proposed. The algorithm improves the system's performance of the traditional MAX-SINR algorithm. First, the traditional MAX-SINR algorithm for IA is used to obtain the received signal. Next, based on the maximum signal to interference and noise ratio(SINR) criterion, the receiver interference suppression matrix and the transmitter precoding matrix are calculated by using the received signal directly. The simulation result shows that compared with the traditional MAX-SINR algorithm, the SDA-MAX-SINR algorithm has decreases the mean square error (MSE) and the bit error rate (BER) of the system effectively, improved the dependability of MIMO system obviously.