论文标题
通过利用味o系统中的多个智能反射表面来确保传输
Secure Transmission by Leveraging Multiple Intelligent Reflecting Surfaces in MISO Systems
论文作者
论文摘要
由于无线通信的广播性质，物理层安全始终是一个基本但具有挑战性的问题。智能反射表面（IRS）的最新进展通过重新配置传输环境引入了一个新的维度，以实现安全通信。在本文中，我们通过利用多个协作IRSS来为多用户误差系统设计安全的传输方案。具体而言，为了确保多个合法用户之间最糟糕的案例可实现的保密率，我们制定了一个最大的问题问题，可以通过替代优化方法解决该问题，以将其解散为多个子问题。基于半决赛松弛和连续的凸近似，每个子问题可以进一步转化为凸问题并易于解决。广泛的实验结果表明，我们提出的方案可以适应多个用户的复杂方案，并在可实现的保密率方面获得显着增益。我们提出的计划的保密率与传统的总和最大化和我们的结果之间的差距表明，从我们的方案中获得的保密率会收敛到从传统的总和结果最大化时，在增加了IRS的元素数量时。
Due to the broadcast nature of wireless communications, physical layer security has always been a fundamental but challenging problem. Recent advance of Intelligent Reflecting Surface (IRS) introduces a new dimension for secure communications by reconfiguring the transmission environments. In this paper, we devise a secure transmission scheme for multi-user MISO systems by leveraging multiple collaborative IRSs. Specifically, to guarantee the worst-case achievable secrecy rate among multiple legitimate users, we formulate a max-min problem that can be solved by an alternative optimization method to decouple it into multiple sub-problems. Based on semidefinite relaxation and successive convex approximation, each sub-problem can be further converted into convex problem and easily solved. Extensive experimental results demonstrate that our proposed scheme can adapt to complex scenarios for multiple users and achieve significant gain in terms of achievable secrecy rate. The gap between the secrecy rate from our proposed scheme and that from the traditional sum-rate maximization and our results show that the secrecy rate obtained from our scheme converges to that achieved from the traditional sum-rate maximization when increasing the number of elements on IRSs.
