论文标题
智能反映表面辅助上行链路频道的保密中断概率公平性
Secrecy Outage Probability Fairness for Intelligent Reflecting Surface-Assisted Uplink Channel
论文作者
论文摘要
本文研究了智能反射表面（IRS）辅助多用户上行链路通道中的物理层安全性（PLS）。由于无法使用瞬时窃听的通道状态信息（CSI），因此无法测量保密率。在这种情况下，现有的调查通常集中于多个用户中信号的最小值（最大值）对干扰加噪声功率比（SINR）的最大化，并且不考虑由窃听者造成的保密中断概率。在本文中，我们首先制定了多个用户中最大值（最小）保密概率的最小化。通过交替优化接收矩阵和相移矩阵来解决该法式问题。模拟表明，与Max-Min SINR策略相比，所提出的算法的最大保密中断概率大大降低，这意味着我们的方案具有更高的安全性能。
This paper investigates physical layer security (PLS) in the intelligent reflecting surface (IRS)-assisted multiple-user uplink channel. Since the instantaneous eavesdropper's channel state information (CSI) is unavailable, the secrecy rate can not be measured. In this case, existing investigations usually focus on the maximization of the minimum (max-min) of signal to interference plus noise power ratio (SINRs) among multiple users, and do not consider secrecy outage probability caused by eavesdroppers. In this paper, we first formulate the minimization of the maximum (min-max) secrecy outage probability among multiple users. The formulated problem is solved by alternately optimizing receiving matrix and phase shift matrix. Simulations demonstrate that the maximum secrecy outage probability is significantly reduced with the proposed algorithm compared to max-min SINR strategies, meaning our scheme has a higher security performance.
