论文标题
基于ADMM的一位量化信号检测，用于大量MIMO系统具有硬件障碍
ADMM-Based One-Bit Quantized Signal Detection for Massive MIMO Systems with Hardware Impairments
论文作者
论文摘要
本文考虑了具有一般添加性硬件障碍和一位量化的大量多输入多输出（MIMO）系统中的信号检测。首先，我们通过将基于量化的线性接收器概括为经过考虑的硬件损伤模型，介绍基于量化的unaware和Bussgang分解接收器。我们提出了一个优化问题，通过选择合适的成本函数来估计上行链路数据信号，该功能将基本站的未量化接收信号视为变量。我们通过包括适当的约束来利用一位量化和信号调制的附加结构。为了求解非凸二次约束二次编程（QCQP）问题，我们提出了一种具有封闭形式更新方程的基于ADMM的算法。然后，我们将更新中的苛刻投影仪替换为其软版本，以提高检测性能。我们表明，所提出的基于ADMM的算法在位错误率（BER）方面胜过最新的线性接收器，并且随着天线和用户的数量，性能增益增加。
This paper considers signal detection in massive multiple-input multiple-output (MIMO) systems with general additive hardware impairments and one-bit quantization. First, we present the quantization-unaware and Bussgang decomposition-based linear receivers by generalizing them for the considered hardware impairment model. We propose an optimization problem to estimate the uplink data signals by choosing a suitable cost function that treats the unquantized received signal at the base station as the variable. We exploit the additional structure of the one-bit quantization and signal modulation by including proper constraints. To solve the non-convex quadratically-constrained quadratic programming (QCQP) problem, we propose an ADMM-based algorithm with closed-form update equations. Then, we replace the harsh projectors in the updates with their soft versions to improve the detection performance. We show that the proposed ADMM-based algorithm outperforms the state-of-the-art linear receivers significantly in terms of bit error rate (BER) and the performance gain increases with the number of antennas and users.
