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A Self-Calibration Scheme for TDD Massive MIMO with Imperfect Channel Estimation

机译:具有不完美信道估计的TDD大规模MIMO自校准方案

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摘要

Exploiting channel reciprocity, time-division-duplexing (TDD) operated massive multiple-input multiple-output (MIMO) systems are able to acquire the channel state information with a reasonable overhead of channel estimation. However, in practical scenarios, the imperfections in channel reciprocity can significantly degrade the system performance. In this work, we propose a novel self calibration scheme for the maximum ratio transmission in TDD multi-user massive MIMO systems to compensate for the imperfect channel reciprocity, with considerations of imperfect channel estimation. The proposed scheme shows the greater robustness to a compound effect of channel reciprocity error and channel estimation error, compared with the traditional self calibration scheme that is widely used in massive MIMO systems.
机译:利用信道互惠,时分双工(TDD)操作的大规模多输入多输出(MIMO)系统能够以合理的信道估计开销获取信道状态信息。但是,在实际情况下,信道互惠的缺陷会显着降低系统性能。在这项工作中,我们提出了一种新的自我校准方案,用于TDD多用户大量MIMO系统中的最大比率传输,以便在不完美信道估计考虑不完美的信道互动。与广泛用于大规模MIMO系统广泛应用的传统自校准方案相比,该方案表明了对信道互惠误差和信道估计误差的复合效应的鲁棒性。

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