AI Article Synopsis

  • This paper analyzes the security performance of a visible light communication (VLC) system using LEDs and multiple users in an indoor setting while accounting for eavesdropping threats.
  • To improve system confidentiality, the authors propose maximizing the total secrecy rate for users by selecting the best LED for each one, using a tabu search algorithm to efficiently navigate the complex optimization problem.
  • Simulation results show the algorithm's secrecy performance is nearly optimal, with a gap of less than 1% from the theoretical best, while the new selection strategies achieve about 28% lower performance compared to the optimal value.

Article Abstract

In this paper, we explore the secrecy performance of a visible light communication (VLC) system consisting of distributed light-emitting diodes (LEDs) and multiple users (UEs) randomly positioned within an indoor environment while considering the presence of an eavesdropper. To enhance the confidentiality of the system, we formulate a problem of maximizing the sum secrecy rate for UEs by searching for an optimal LED for each UE. Due to the non-convex and non-continuous nature of this security maximization problem, we propose an LED selection algorithm based on tabu search to avoid getting trapped in local optima and expedite the search process by managing trial vectors from previous iterations. Moreover, we introduce three LED selection strategies with a low computational complexity. The simulation results demonstrate that the proposed algorithm achieves a secrecy performance very close to the global optimal value, with a gap of less than 1%. Additionally, the proposed strategies exhibit a performance gap of 28% compared to the global optimal.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10975767PMC
http://dx.doi.org/10.3390/s24061906DOI Listing

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