论文标题

有效量化多源下行链路大型MIMO系统的恒定信封预编码

Efficient Quantized Constant Envelope Precoding for Multiuser Downlink Massive MIMO Systems

论文作者

Wu, Zheyu, Liu, Ya-Feng, Jiang, Bo, Dai, Yu-Hong

论文摘要

量化恒定包络(QCE)预编码是一种新的传输方案,仅在每个天线允许传输QCE传输信号,由于其降低硬件成本和大量多重输入多输出(MIMO)系统的能源消耗的能力,因此获得了越来越多的研究兴趣。但是,QCE传输信号的离散性质非常复杂,使预码设计变得复杂。在本文中,我们考虑了具有相移键合(PSK)调制的大规模MIMO系统的QCE预编码问题,并开发了一种有效的方法来解决基于建设性干扰(CI)问题的问题。我们的方法基于定制设计的(连续)惩罚模型,该模型等同于原始离散问题。具体而言,惩罚模型放宽了离散的QCE约束,并以负$ \ ell_2 $ -norm术语对目标进行惩罚,从而导致非平滑的非凸优化问题。为了解决这个问题,我们求助于最近提出的交替优化(AO)算法。我们表明,当应用于我们的问题时,AO算法在每次迭代时都允许封闭形式的更新,因此可以有效地实施。仿真结果证明了所提出的方法比现有算法的优越性。

Quantized constant envelope (QCE) precoding, a new transmission scheme that only discrete QCE transmit signals are allowed at each antenna, has gained growing research interests due to its ability of reducing the hardware cost and the energy consumption of massive multiple-input multiple-output (MIMO) systems. However, the discrete nature of QCE transmit signals greatly complicates the precoding design. In this paper, we consider the QCE precoding problem for a massive MIMO system with phase shift keying (PSK) modulation and develop an efficient approach for solving the constructive interference (CI) based problem formulation. Our approach is based on a custom-designed (continuous) penalty model that is equivalent to the original discrete problem. Specifically, the penalty model relaxes the discrete QCE constraint and penalizes it in the objective with a negative $\ell_2$-norm term, which leads to a non-smooth non-convex optimization problem. To tackle it, we resort to our recently proposed alternating optimization (AO) algorithm. We show that the AO algorithm admits closed-form updates at each iteration when applied to our problem and thus can be efficiently implemented. Simulation results demonstrate the superiority of the proposed approach over the existing algorithms.

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