大规模MIMO OFDM系统下行链路的削波噪声消除接收机
Clipping noise cancellation receiver for the downlink of massive MIMO OFDM system
AI总结：
本文提出了一种用于mMIMO OFDM系统下行链路的多天线削波噪声消除（MCNC）算法及其简化版本，有效消除了由射频前端非线性引起的失真，且在直视信道下简化版性能仅略有下降。
摘要：
大规模多输入多输出（mMIMO）技术被认为是5G及未来无线网络的关键使能技术。在大多数无线通信系统中，mMIMO与正交频分复用（OFDM）结合使用，后者表现出高峰均功率比（PAPR）。当OFDM信号通过常见的有限线性射频前端之一时，可以预期传输信号会发生显著失真。在mMIMO系统中，这个问题仍然相关，因为在某些信道中，失真分量与期望信号在相同方向上被波束成形。在这项工作中，我们提出了一种用于mMIMO OFDM系统下行链路的多天线削波噪声消除（MCNC）算法。计算机仿真表明，即使在严重非线性条件下，它也能消除非线性失真。接下来，提出了该算法的简化版本。观察到，对于直视信道，其性能仅比MCNC算法略有下降。
英文摘要：
Massive multiple-input multiple-output (mMIMO) technology is considered a key enabler for the 5G and future wireless networks. In most wireless communication systems, mMIMO is employed together with orthogonal frequency-division multiplexing (OFDM) which exhibits a high peak-to-average-power ratio (PAPR). While passing the OFDM signal through one of the common RF front-ends of limited linearity, significant distortion of the transmitted signal can be expected. In mMIMO systems, this problem is still relevant as in some channels the distortion component is beamformed in the same directions as the desired signal. In this work, we propose a multi-antenna clipping noise cancellation (MCNC) algorithm for the downlink of the mMIMO OFDM system. Computer simulations show it can remove nonlinear distortion even under severe nonlinearity. Next, a simplified version of the algorithm is proposed. It was observed that for the direct visibility channels, its performance is only slightly degraded with respect to the MCNC algorithm.
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