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

G. Jia, Jian Liu, Libingyi Huang
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Abstract

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.
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基于符号检测辅助的MIN-WLI干扰对齐算法研究
为了减轻蜂窝网络中的细胞间干扰,目前学术界讨论了一种消除细胞间干扰的算法,即干扰对准(IA)。干涉对准是一种在高信噪比下获得良好系统容量的干扰消除技术。然而,为了实现干扰对准,必须联合设计发射机和接收机,这往往是难以实现的。此外,在不同标准优化的基础上,提出并研究了大量的迭代收发器设计方法。本文主要研究最小加权泄漏干扰(MIN-WLI)。在这里,我们提出了一种符号检测技术,有助于最小泄漏干扰的校准[1-3]。它是一种基于最小泄漏干扰的迭代收发器联合设计的符号检测算法。系统仿真结果表明,干涉对准方法比传统的最小泄漏干扰方法具有更好的系统性能。
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