This letter investigates physical layer security in intelligent reflecting surface (IRS)-aided VL 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.

中文翻译：

---

智能反射表面辅助VLC多用户物理层安全优化


这封信研究了智能反射表面 (IRS) 辅助的 VL 通信 (VLC) 中的物理层安全性。在点源假设下，我们首先详细阐述了多个合法用户和一个窃听者场景下的系统模型，其中通过目标函数逼近将保密率最大化问题转化为分配问题。然后，提出迭代Kuhn-Munkres算法来优化变换问题，其计算复杂度为IRS单元和发射机数量的二阶形式。此外，还进行了数值模拟来验证IRS的近似性能和VLC保密率的提高。