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Efficient Precoding for Massive MIMO Downlink Under PA Nonlinearities

机译:PA非线性下大规模MIMO下行链路的高效预编码

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摘要

This letter investigates the compensation of the power amplifier (PA) nonlinear distortion (NLD) in large-scale multi-user (MU) multiple-input multiple-output (MIMO) downlink systems. We introduce a PA-aware precoding approach that exploits the high-dimensional degrees of freedom (DoFs), allowed by equipping the base station (BS) by a high number of antennas, and performs the precoded signals that when amplified and passed through the channel, guarantee excellent transmission quality. Specifically, we formulate the proposed PA-aware precoding approach as a simple convex optimization problem which enables efficient, low-complexity, and reliable algorithm implementations. The simulation results demonstrate the strong potential of the proposed approach in terms of improving the link quality and reducing the required computational complexity.
机译:这封信调查了大规模多用户(MU)多输入多输出(MIMO)下行链路系统中功率放大器(PA)非线性失真(NLD)的补偿。我们引入了一种PA感知的预编码方法,该方法利用了高维自由度(DoF),并通过为基站(BS)配备大量天线来实现该功能,并执行了预编码信号,该信号在放大并通过信道后会通过,保证优良的传输质量。具体来说,我们将提出的PA感知预编码方法公式化为简单的凸优化问题,从而实现高效,低复杂度和可靠的算法实现。仿真结果证明了该方法在提高链路质量和降低所需计算复杂度方面的强大潜力。

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