基于矢量近似消息传递的上行海量MIMO检测器

Seyyed Akbar Hodudi Atigh, J. Pourrostam, Behzad Mozaffary Tazeh kand
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引用次数: 1

摘要

在大规模MIMO系统中,由于基站天线数量的不断增加,设计具有完美误码率和低计算成本的上行探测器成为关键问题。近年来,针对压缩感知提出的AMP算法已被应用于大规模MIMO检测中。虽然它具有较低的复杂度和较好的误码率性能,但也存在在轻度病态信道矩阵上发散等局限性。VAMP算法是为了克服AMP算法的局限性而引入的算法之一,本文研究了VAMP算法在大规模MIMO上行链路检测中的SVD。仿真结果表明,VAMP不仅对病态矩阵具有鲁棒性,而且与AMP不同,它在低信噪比和高信噪比下都表现出良好的误码率性能。同时,经过初始奇异值分解后,其计算复杂度与AMP相当。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Uplink Massive MIMO Detector Based on Vector Approximate Message Passing
In Massive MIMO systems because of increasing the number of antennas at the base station, designing uplink detector with perfect bit error rate and low computing costs becomes a key issue. Recently the AMP algorithm that was proposed for compressive sensing has been exploited in massive MIMO detection. Although it enjoys low complexity and perfect BER performance, it has some limitation like diverging at mild ill-conditioned channel matrices. VAMP is one of the algorithms that has been introduced to overcome the limitation of AMP. In this paper we investigate SVD form VAMP algorithm in massive MIMO uplink detection. According to the simulation results, the VAMP not only is robust against ill-conditioned matrices but also it unlike AMP shows perfect BER performance on both low and high SNRs. Meanwhile, after initial singular value decomposition, it has the same computational complexity with AMP.
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