论文标题
强大的IRS辅助保密传输，并优化位置
Robust IRS-aided Secrecy Transmission with Location Optimization
论文作者
论文摘要
在本文中，我们提出了一种强大的保密传输方案，用于智能反射表面（IRS）辅助通信系统。与已经在固定位置部署的IRS部署的所有现有作品不同，我们将IRS的位置作为变量，以最大程度地在停机概率限制下最大化保密率（SR），通过共同优化IRS的位置，传输光束形成器和IRS相位偏移的位置，并以EVE的不完善渠道信息（CSI）的位置，我们考虑了两个情况下的位置：A） b）只有夏娃的可疑区域。我们表明，CSI模型在IRS部署前后是不同的观察结果，因此可以通过两阶段框架分解和解决优化问题。对于案例A），在第一阶段，仅得出与IRS位置相关的中断概率的通用上限，可以通过连续的凸近似（SCA）方法进行优化。在第二阶段，我们开发了一种替代优化（AO）算法，以优化波束形式并迭代地移动。对于案例b），我们根据两个阶段框架提出了一个最大速度SR方案，其中根据EVE的最差位置优化了IRS的位置。仿真结果表明IRS优化位置的重要性。
In this paper, we propose a robust secrecy transmission scheme for intelligent reflecting surface (IRS) aided communication systems. Different from all the existing works where IRS has already been deployed at a fixed location, we take the location of IRS as a variable to maximize the secrecy rate (SR) under the outage probability constraint by jointly optimizing the location of IRS, transmit beamformer and IRS phase shifts with imperfect channel state information (CSI) of Eve, where we consider two cases: a) the location of Eve is known; b) only a suspicious area of Eve is available. We show a critical observation that CSI models are different before and after IRS deployment, thus the optimization problem could be decomposed and solved via a two-stage framework. For case a), in the first stage, universal upper bounds of outage probabilities only related to the location of IRS are derived which can be optimized via successive convex approximation (SCA) method. In the second stage, we develop an alternative optimization (AO) algorithm to optimize beamformer and phase shifts iteratively. For case b), we propose a Max-Min SR scheme based on two-stage framework, where the location of IRS is optimized based on the worst location of Eve. Simulation results indicate the importance of the location of IRS optimization.
