MMSE and LS Interference Alignment Algorithm Based on Symbol Detection

G. Jia, Han Zhang, Gaofeng Zhang
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Abstract

The basic idea of Interference Alignment consists in precoding the transmitted signals such that they are aligned at the receiver where they constitute interference, while at the same time disjointed from the desired signal. In this paper, the minimum mean square error (SDA - MMSE) algorithm and the least squares (SDA - LS) algorithm based on symbol detection are proposed on the traditional MMSE algorithm and the least squares (LS) algorithm. Firstly, the iterative calculation is carried out based on the traditional algorithm, and then the iterative calculation is carried out by using the improved algorithm. The simulation results show that the proposed algorithm has better system performance than the traditional algorithm, and the system performance of SDA-MMSE algorithm is found to be optimal.
基于符号检测的MMSE和LS干扰对齐算法
干扰对齐的基本思想包括对发射信号进行预编码,使它们在构成干扰的接收器处对齐,同时与期望的信号断开。本文在传统MMSE算法和最小二乘(LS)算法的基础上,提出了最小均方误差(SDA - MMSE)算法和基于符号检测的最小二乘(SDA - LS)算法。首先基于传统算法进行迭代计算,然后使用改进算法进行迭代计算。仿真结果表明,该算法比传统算法具有更好的系统性能,其中SDA-MMSE算法的系统性能最优。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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