Author(s)

Shuo Tang ¹, Tong Xi ¹, Liang Wu ¹

Affiliation(s)

¹ College of Information Science and Technology, Tibet University, Lhasa, Tibet, 850000, China

Corresponding Author

Shuo Tang

ABSTRACT

Intelligent Reflecting Surface (IRS), as an emerging technology, brings a brand new optimization approach for future wireless communications and environment perception by dynamically regulating the propagation path of electromagnetic waves. This paper focuses on the optimization of secure communications and perception based on IRS, and proposes a joint optimization framework that aims to balance the needs of communication security and perception accuracy. By constructing a multi-objective optimisation model and designing an innovative algorithm, this paper achieves a significant improvement in secrecy capacity and signal-to-noise ratio (SNR) in single-user and multi-user scenarios. Experimental results show that the optimisation method combined with machine learning shows strong adaptability and performance advantages in dynamic environments. The research results of this paper provide technical support for scenarios such as the Internet of Things and driverless vehicles that require the coordination of communication and perception, and provide a theoretical basis for the intelligent design of next-generation wireless communication networks.

KEYWORDS

IRS; secure communication; environment perception; joint optimisation; physical layer security

CITE THIS PAPER

Shuo Tang, Tong Xi, Liang Wu, Optimised secure communication and perception based on intelligent reflective surfaces. Journal of Electronics and Information Science (2024) Vol. 9: 124-134. DOI: http://dx.doi.org/10.23977/10.23977/jeis.2024.090317.

REFERENCES

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