论文标题
对智能反射表面辅助VLC的多用户物理层安全性的优化
Optimization on Multi-User Physical Layer Security of Intelligent Reflecting Surface-Aided VLC
论文作者
论文摘要
这封信研究了智能反射表面（IRS）辅助的可见光通信（VLC）中的物理层安全性。在点源假设下，我们首先使用多个合法用户和一个窃听者来详细说明系统模型，其中保密率最大化问题通过目标函数近似将其转化为分配问题。然后，提出了一种迭代的库恩 - 蒙克雷斯算法来优化变换的问题，其计算复杂性是IRS单元和发射机数量的二阶形式。此外，进行数值模拟以验证IRS的近似性能和VLC保密率提高。
This letter investigates physical layer security in intelligent reflecting surface (IRS)-aided visible light communication (VLC). Under the point source assumption, we first elaborate the system model in the scenario with multiple legitimate users and one eavesdropper, where the secrecy rate maximization problem is transformed into an assignment problem by objective function approximation. Then, an iterative Kuhn-Munkres algorithm is proposed to optimize the transformed problem, and its computational complexity is in the second-order form of the numbers of IRS units and transmitters. Moreover, numerical simulations are carried out to verify the approximation performance and the VLC secrecy rate improvement by IRS.
