Improper Signaling for SISO Two-User Interference Channels With Additive Asymmetric Hardware Distortion
Improper Signaling for SISO Two-User Interference Channels With Additive Asymmetric Hardware Distortion
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DOI：
10.1109/tcomm.2019.2939310
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发表时间：
2019-01
影响因子：
8.3
通讯作者：
M. Soleymani;C. Lameiro;I. Santamaría;P. Schreier
中科院分区：
文献类型：
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作者：
M. Soleymani;C. Lameiro;I. Santamaría;P. Schreier
硬件非理想性是即将到来的无线通信系统的主要性能限制之一。当I/Q分支的损伤相关或不平衡时，就会发生非对称硬件失真(HWD)，这反过来会在接收端产生不适当的附加干扰。当干扰不适当时，以及在其他干扰受限的情况下，不适当的高斯信令(IGS)已被证明可提供速率和/或功率效率优势。在本文中，我们研究了当干扰被视为噪声时，IGS在加性非对称HWD的两用户干扰信道(IC)中的速率收益。我们提出了两种迭代算法来优化不正确发射信号的参数。我们首先将速率区域重写为pseudo-signal-to-interference-plus-noise-ratio区域，并使用优化、最小化和分式规划来寻找可实现的用户速率的次优解。然后，我们提出了一种基于用户功率和互补方差单独优化的简化算法，该算法具有较低的计算复杂度。结果表明，IGS可以提高双用户集成电路的性能。我们提出的算法比文献中没有考虑非对称HWD的适当的高斯信令和竞争的IGS算法性能更好。
Hardware non-idealities are among the main performance restrictions for upcoming wireless communication systems. Asymmetric hardware distortions (HWD) happen when the impairments of the I/Q branches are correlated or imbalanced, which in turn generate improper additive interference at the receiver side. When the interference is improper, as well as in other interference-limited scenarios, improper Gaussian signaling (IGS) has been shown to provide rate and/or power efficiency benefits. In this paper, we investigate the rate benefits of IGS in a two-user interference channel (IC) with additive asymmetric HWD when interference is treated as noise. We propose two iterative algorithms to optimize the parameters of the improper transmit signals. We first rewrite the rate region as an pseudo-signal-to-interference-plus-noise-ratio (PSINR) region and employ majorization minimization and fractional programming to find a suboptimal solution for the achievable user rates. Then, we propose a simplified algorithm based on a separate optimization of the powers and complementary variances of the users, which exhibits lower computational complexity. We show that IGS can improve the performance of the two-user IC with additive HWD. Our proposed algorithms outperform proper Gaussian signaling and competing IGS algorithms in the literature that do not consider asymmetric HWD.