物理层
计算机科学
保密
最大化
可见光通信
最优化问题
数学优化
计算复杂性理论
迭代法
人为噪声
功能(生物学)
算法
无线
电信
数学
光学
物理
计算机安全
进化生物学
生物
发光二极管
作者
Shiyuan Sun,Fang Yang,Jian Song,Zhu Han
标识
DOI:10.1109/lwc.2022.3167108
摘要
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.
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