Efficient SIC-MMSE Detection Using Neumann Series Expansion

Zhilin Fu, Satya Chan, Sooyoung Kim
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引用次数: 3

Abstract

In this paper, we propose a complexity reduced soft interference cancellation minimum mean squared error (SIC-MMSE) detection scheme for coded massive MIMO systems. The presented method works efficiently when the channel matrix becomes asymptotically orthogonal with a sufficiently large number of receive antennas at the base station. With such a characteristic, the conventional SIC-MMSE detection method can be simplified to a layer independent matrix inversion process, and further complexity reduction is achieved by introducing the Neumann series expansion (NSE) method. The simulation results investigated in this paper reveal that the proposed method can efficiently reduce the complexity without appreciable performance degradation.
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基于诺伊曼级数展开的SIC-MMSE检测
在本文中,我们提出了一种降低复杂度的编码大规模MIMO系统软干扰抵消最小均方误差(SIC-MMSE)检测方案。当基站接收天线数量足够多时,信道矩阵渐近正交时,所提出的方法能有效地解决这一问题。利用这一特性,可以将传统的SIC-MMSE检测方法简化为与层无关的矩阵反演过程,并通过引入Neumann级数展开(NSE)方法进一步降低了复杂度。仿真结果表明,该方法可以有效地降低算法复杂度,且不会造成明显的性能下降。
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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