论文标题

可重新配置的智能表面辅助辅助毫米波系统的保密率最大化,低分辨率DAC

Secrecy Rate Maximization for Reconfigurable Intelligent Surface Aided Millimeter Wave System with Low-resolution DAC

论文作者

Xiu, Yue, Zhao, Jun, Zhang, Zhongpei

论文摘要

在这封信中,我们研究了具有硬件限制的可重构智能表面(RIS)辅助表面(MMWAVE)系统的保密率。与大多数现有作品中的RIS辅助系统相比,我们考虑了具有低分辨率数字到Analog转换器(LDACS)的RIS AID的MMWAVE系统的情况。我们制定了保密率最大化问题硬件约束。然后,通过优化RIS相移和发射光束形成以最大化保密率。由于问题的非偶像性,因此法式的问题是棘手的。为了解决问题,提出了一种基于交替的优化(AO)算法。具体而言,我们首先使用连续的凸近似(SCA)方法来获得发射光束成形。然后使用元素块坐标下降(BCD)方法来获得RIS相移。数值结果表明,RIS可以减轻硬件损失,并且基于AO的基于AO的算法的复杂性低优于基线。

In this letter, we investigate the secrecy rate of an reconfigurable intelligent surface (RIS)-aided millimeter-wave (mmWave) system with hardware limitations. Compared to the RIS-aided systems in most existing works, we consider the case of the RIS-aided mmWave system with low-resolution digital-to-analog converters (LDACs). We formulate a secrecy rate maximization problem hardware constraints. Then by optimizing the RIS phase shift and the transmit beamforming to maximize the secrecy rate. Due to the nonconvexity of the problem, the formulated problem is intractable. To handle the problem, an alternating optimization (AO)-based algorithm is proposed. Specifically, we first use the successive convex approximation (SCA) method to obtain the transmit beamforming. Then the element-wise block coordinate descent (BCD) method is used to obtain the RIS phase shift. Numerical results demonstrate that the RIS can mitigate the hardware loss, and the proposed AO-based algorithm with low complexity outperformances the baselines.

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