Improper Gaussian Signaling for the $K$-User MIMO Interference Channels With Hardware Impairments
Improper Gaussian Signaling for the $K$-User MIMO Interference Channels With Hardware Impairments
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DOI：
10.1109/tvt.2020.3015558
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发表时间：
2020-01
影响因子：
6.8
通讯作者：
M. Soleymani;I. Santamaría;P. Schreier
中科院分区：
文献类型：
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作者：
M. Soleymani;I. Santamaría;P. Schreier
本文研究了非正常高斯信号（IGS）在具有硬件损伤（HWI）的K$用户多输入多输出（MIMO）干扰信道（IC）中的性能。HWI可能由于设备中的缺陷（如I/Q不平衡、相位噪声等）而出现。在I/Q不平衡的情况下，接收信号是发射信号和噪声的广泛线性变换。因此，接收机处的有效噪声变得不适当，这意味着其真实的和虚部是相关的和/或具有不相等的功率。IGS可以在不适当的噪声和/或不适当的干扰的情况下改善系统性能。在本文中，我们研究IGS的好处，这种情况下的两个性能指标：可实现的速率和能源效率（EE）。我们考虑率区域，和率，EE区域和全局EE优化问题，以充分评估IGS的性能。为了解决这些非凸问题，我们采用优化框架的基础上优化最小化算法，这使我们能够获得一个稳定点的任何优化问题，其中无论是目标函数和/或约束是线性函数的利率。我们的数值结果表明，IGS可以显着提高性能的$K$用户MIMO IC与HWI和I/Q的不平衡，其好处增加的用户数，$K$，和不平衡的水平，并减少与天线的数量。
This paper investigates the performance of improper Gaussian signaling (IGS) for the $K$-user multiple-input, multiple-output (MIMO) interference channel (IC) with hardware impairments (HWI). HWI may arise due to imperfections in the devices like I/Q imbalance, phase noise, etc. With I/Q imbalance, the received signal is a widely linear transformation of the transmitted signal and noise. Thus, the effective noise at the receivers becomes improper, which means that its real and imaginary parts are correlated and/or have unequal powers. IGS can improve system performance with improper noise and/or improper interference. In this paper, we study the benefits of IGS for this scenario in terms of two performance metrics: achievable rate and energy efficiency (EE). We consider the rate region, the sum-rate, the EE region and the global EE optimization problems to fully evaluate the IGS performance. To solve these non-convex problems, we employ an optimization framework based on majorization-minimization algorithms, which allow us to obtain a stationary point of any optimization problem in which either the objective function and/or constraints are linear functions of rates. Our numerical results show that IGS can significantly improve the performance of the $K$-user MIMO IC with HWI and I/Q imbalance, where its benefits increase with the number of users, $K$, and the imbalance level, and decrease with the number of antennas.