Joint Precoding for Intelligent Reflecting Surface-Aided Millimeter Wave Secure Communications

Wenmeng Li, Yehua Zhang, Baoyin Bian, Hongzhen Yang, Lang Li, Xuan Wang, Jun-Bo Wang, Hua Zhang
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Abstract

In this paper, we investigate an intelligent reflecting surface (IRS) aided millimeter wave (mmWave) secure communication system. To maximize the secrecy rate at the legitimate receiver, we jointly optimize the active hybrid precoding at the transmitter and passive precoding at the IRS. Since the optimization problem is non-convex, an alternating optimization based algorithm is proposed, i.e., we iteratively solve digital baseband precoding, analog radio frequency precoding or one of the reflection coefficients with the others fixed. Simulation results show that our proposed algorithm can effectively improve the security performance of the system.
智能反射表面辅助毫米波安全通信的联合预编码
本文研究了智能反射面(IRS)辅助毫米波(mmWave)保密通信系统。为了最大限度地提高合法接收端的保密率,我们对发送端的主动混合预编码和IRS端的被动预编码进行了联合优化。针对优化问题的非凸性,提出了一种基于交替优化的算法,即在固定的条件下,迭代求解数字基带预编码、模拟射频预编码或其中一个反射系数。仿真结果表明,该算法能有效提高系统的安全性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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