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A Low Complexity Detector for Massive MIMO Uplink Systems
National Academy Science Letters ( IF 1.1 ) Pub Date : 2021-01-30 , DOI: 10.1007/s40009-020-01034-7
Mahmoud A. Albreem

Fifth generation wireless communication system is implemented by several mobile companies where important technologies are employed such as the massive multiple-input multiple-output (MIMO). Although it improves the spectrum and energy efficiencies, it is not a trivial to propose an efficient detector for massive MIMO systems because a large number of antennas increases the computational complexity. In this paper, approximate message passing (AMP) is exploited in the massive MIMO uplink (UL) data detection. Although the AMP method is suffering from a considerable performance in special cases, an efficient selection of the initial solution affects greatly the convergence rate, the bit-error-rate performance, and the computational complexity. In this paper, three efficient initialization methods of the AMP-based massive MIMO UL detector are proposed based on iterative methods, namely, the successive overrelaxation, the Gauss–Seidel, and the Jacobi. In addition, a stair matrix is exploited to achieve high convergence rate. Numerical results show that the proposed detector achieved a considerable performance improvement and complexity reduction in comparison with the traditional AMP-based detector.



中文翻译:

用于大规模MIMO上行链路系统的低复杂度检测器

第五代无线通信系统由数家移动公司实施,这些公司采用了重要技术,例如大规模多输入多输出(MIMO)。尽管它提高了频谱和能效,但为大量MIMO系统提出一种有效的检测器并不是一件容易的事,因为大量天线会增加计算复杂性。本文在大规模MIMO上行(UL)数据检测中采用了近似消息传递(AMP)。尽管在特殊情况下AMP方法的性能相当可观,但是有效选择初始解决方案会极大地影响收敛速度,误码率性能和计算复杂度。在本文中,基于迭代方法,提出了基于AMP的大规模MIMO UL检测器的三种有效的初始化方法,即连续过松弛,高斯-塞德尔和雅可比。另外,利用阶梯矩阵来实现高收敛速度。数值结果表明,与传统的基于AMP的检测器相比,提出的检测器在性能上得到了显着提高,并且复杂度降低了。

更新日期:2021-01-31
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