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Constant Envelope Precoding in Multi-Cell Massive MIMO Systems: A High-Throughput Pilot Contamination Aware Scheme

机译:多小区大规模MIMO系统中的恒定包络预编码:高通量飞行员污染感知方案

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In this paper, we study the downlink transmission of a massive multiple input multiple output (M-MIMO) system in which constant envelop precoding (CEP) is utilized. We consider the realistic case of a multi-cell M-MIMO using full cooperation in the system, and aim to increase the system throughput by presenting a partially cooperative structure. We focus on a scenario where the channel state information (CSI) is imperfect due to pilot contamination, and seek to compensate for this effect using a pilot contamination aware CEP (PCA-CEP) algorithm. Finally, we attempt to reduce the system complexity by presenting a relaxed form of the proposed PCA-CEP algorithm. Numerical results demonstrate that for a large decrease in the system overhead in the partially cooperative structure compared to the fully cooperative one, the performance faces merely an insignificant degradation. Moreover, the effect of pilot contamination on the system performance is depicted and it is shown how the PCA-CEP algorithm can compensate for these effects. Also, this algorithm is compared with its relaxed form based on the comparison benchmarks of complexity and average data rate, and it is illustrated that in the relaxed PCA-CEP, in spite of a slight drop in performance, the complexity is reduced immensely.
机译:在本文中,我们研究了使用恒定包络预编码(CEP)的大规模多输入多输出(M-MIMO)系统的下行链路传输。我们考虑了在系统中使用完全协作的多小区M-MIMO的实际情况,并旨在通过提出部分协作结构来提高系统吞吐量。我们重点研究由于导频污染导致信道状态信息(CSI)不完美的情况,并寻求使用导频污染感知CEP(PCA-CEP)算法来补偿这种影响。最后,我们尝试通过提出所提出的PCA-CEP算法的宽松形式来降低系统复杂性。数值结果表明,与完全协作的系统相比,部分协作的系统的系统开销大大降低,性能仅面临微不足道的降低。此外,还描述了飞行员污染对系统性能的影响,并显示了PCA-CEP算法如何补偿这些影响。此外,基于复杂度和平均数据速率的比较基准,将该算法与其松弛形式进行了比较,结果表明,在松弛PCA-CEP中,尽管性能略有下降,但复杂度却大大降低了。

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