In this paper, we propose to use hybrid relay-intelligent reflecting surface (HR-IRS) to improve the security performance of directional modulation (DM) system. In particular, the eavesdropper in this system works in full-duplex (FD) mode and he will eavesdrop on the confidential message (CM) as well as send malicious jamming. We aim to maximize the secrecy rate (SR) by jointly optimizing the receive beamforming, transmit beamforming and phase shift matrix (PSM) of HR-IRS. Since the optimization problem is un-convex and the variables are coupled to each other, we solve this problem by iteratively optimizing these variables. The receive beamforming and transmit beamforming are obtained based on generalized Rayleigh-Ritz theorem and Dinkelbach's Transform respectively. And for PSM, two methods, called separate optimization of PSM (SO-PSM) and joint optimization of PSM (JO-PSM) are proposed. Thus, two iterative algorithms are proposed accordingly, namely maximizing SR based on SO-PSM (Max-SR-SOP) and maximizing SR based on JO-PSM (Max-SR-JOP). The former has better performance and the latter has lower complexity. The simulation results show that when HR-IRS has sufficient power budget, the proposed Max-SR-SOP and Max-SR-JOP can enable HR-IRS-aided DM network to obtain higher SR than passive IRS-aided DM network.
翻译:本文中,我们提出使用混合中继-智能反射面 (HR-IRS) 来提高方向调制 (DM) 系统的安全性能。特别地,系统中的窃听者以全双工 (FD) 模式工作,他将监听保密消息 (CM) 并发送恶意干扰。我们旨在通过联合优化 HR-IRS 接收波束成形、发送波束成形和相移矩阵 (PSM) 来最大化保密速率 (SR)。由于优化问题不可凸,且变量相互耦合,因此我们通过迭代优化这些变量来解决该问题。接收波束成形和发送波束成形分别基于广义 Rayleigh-Ritz 定理和 Dinkelbach 变换获取。对于 PSM,提出了两种方法,分别称为相移矩阵的分离优化 (SO-PSM) 和相移矩阵的联合优化 (JO-PSM)。因此,相应地提出了两个迭代算法,分别是基于 SO-PSM 最大化 SR (Max-SR-SOP) 和基于 JO-PSM 最大化 SR (Max-SR-JOP)。前者性能更好,后者复杂度更低。模拟结果表明,当 HR-IRS 具有足够的功率预算时,所提出的 Max-SR-SOP 和 Max-SR-JOP 可使 HR-IRS 辅助 DM 网络获得比被动 IRS 辅助 DM 网络更高的 SR。