LS Interference Alignment Algorithm Based on Symbol Detection Assistance

Abstract

Interference Alignment (IA), as an interference cancellation technique, effectively eliminates the effects of interfering signals by compressing the interfering signal into a space unrelated to the desired signal. But in reality, transceivers need a joint design, which is often difficult to achieve. Aiming at the shortcomings of traditional least squares interference alignment (LS-IA) algorithm in the design of transceiver algorithm, this paper proposes a least squares interference alignment algorithm based on symbol detection assistance (SDA-LS-IA), namely: firstly, based on the traditional LS-IA designs the transceiver precoding matrix and the zero-breaking matrix, then performs symbol detection, and finally designs the transceiver according to the iterative calculation of the detected symbols. Computer simulation shows that the algorithm has better anti-interference performance than traditional LS-IA.