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Performance analysis and parameter optimization for intelligent reflecting mirror array-aided visible light

Xiao-Di Shi, Li-Hua Hong, Peng-Fei Yu

    Journal of the Optical Society of America. A, Optics, Image Science, and Vision
    |October 10, 2022
    PubMed
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    Intelligent reflecting mirror arrays (IRMA) improve visible light communication (VLC) systems by enhancing channel quality. This study analyzes IRMA performance, optimizes parameters, and verifies results, boosting system reliability.

    Area of Science:

    • Optical Communications
    • Wireless Networks
    • Signal Processing

    Background:

    • Visible Light Communication (VLC) systems offer high bandwidth potential.
    • Intelligent Reflecting Mirror Arrays (IRMA) can mitigate signal degradation in VLC.
    • Optimizing IRMA deployment is crucial for maximizing VLC system performance.

    Purpose of the Study:

    • To analyze the performance of an IRMA-aided VLC system.
    • To derive a theoretical expression for the average bit error rate (ABER) considering line-of-sight (LoS) blockage.
    • To optimize IRMA parameters for improved system performance.

    Main Methods:

    • Channel gain analysis for LoS and non-LoS links.
    • Derivation of ABER expression incorporating LoS blockage probability.

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  • Formulation and solution of IRMA parameter optimization problems.
  • Hardware implementation of IRMA.

    • Main Results:

    • Accurate theoretical expression for ABER derived.
    • Effective schemes proposed for IRMA parameter optimization.
    • Numerical results validate the ABER expression and optimization effectiveness.

    Conclusions:

    • IRMA deployment significantly enhances channel quality in VLC systems.
    • The proposed optimization schemes effectively improve IRMA-aided VLC performance.
    • The study provides a validated framework for IRMA deployment in VLC.