Optimization on Multi-User Physical Layer Security of Intelligent Reflecting Surface-Aided VLC

Shiyuan Sun; Fang Yang; Jian Song; Zhu Han

Optimization on Multi-User Physical Layer Security of Intelligent Reflecting Surface-Aided VLC

Information Theory 2022-01-04 v1 math.IT

Authors: Shiyuan Sun , Fang Yang , Jian Song , Zhu Han

Abstract

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.

Cite

@article{arxiv.2201.00705,
  title  = {Optimization on Multi-User Physical Layer Security of Intelligent Reflecting Surface-Aided VLC},
  author = {Shiyuan Sun and Fang Yang and Jian Song and Zhu Han},
  journal= {arXiv preprint arXiv:2201.00705},
  year   = {2022}
}

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