Research on MIN-WLI Interference Alignment Algorithm Based on Symbol Detection Assistance

In order to mitigate inter-cell interference (ICI) in cellular networks, now the academic community have been discussed an algorithm to eliminate inter-cell interference namely interference alignment (IA). Interference alignment is an interference cancellation technique that achieves good system capacity at high signal-to-noise ratios. However, in order to achieve interference alignment, the transmitter and receiver must be jointly designed, which is often difficult to achieve. In addition, a large number of iterative transceiver design methods have been proposed and studied on the basis of different standards optimizing. This paper mainly studies the Minimum Weighted Leakage Interference (MIN-WLI). Here, we propose a symbol detection technique that assists in the alignment of minimum leakage interference[1-3]. It is a symbol detection algorithm based on the joint design of iterative transceivers with minimum leakage interference. The system simulation shows that the interference alignment method has better system performance than the traditional minimum leakage interference method.