大规模MIMO信号检测复杂性分析
摘要
大规模MIMO技术通过增加天线数目、降低发送功率来提高能量效率,是下一代移动通信5G的一项关键技术。在大规模MIMO系统上行链路中如果采用最小均方误差(MMSE)信号检测方法进行最优接收通常会涉及到复杂度很高的矩阵逆运算。论文对分别采用Richarson算法、Gauss-Seidel算法、Neumann级数近似算法实现矩阵逆运算的三种迭代近似求解方法进行了分析和仿真研究,结果表明Richarson算法以及Gauss-Seidel算法的复杂度为Ο(K2),、Neumann级数近似算法的复杂度为Ο(K2),Gauss-Seidel算法使用较少的迭代次数即可达到和MMSE近似的系统差错性能。
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