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Modeling turbulence in underwater wireless optical communications based on Monte Carlo simulation.

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    We developed a new Monte Carlo simulation model for underwater wireless optical communications (UWOC) affected by turbulence. This computationally efficient model accurately predicts performance under various turbulence conditions, matching experimental data.

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    Area of Science:

    • Optical Engineering
    • Fluid Dynamics
    • Underwater Communications

    Background:

    • Underwater wireless optical communication (UWOC) performance is significantly impacted by turbulence.
    • Existing physical simulation models do not adequately address turbulence effects in UWOC.
    • A computationally efficient and accurate simulation model for UWOC in turbulent environments is needed.

    Purpose of the Study:

    • To propose a novel Monte Carlo simulation model for UWOC in turbulent oceanic clear water.
    • To provide a less computationally intensive alternative to computational fluid dynamics (CFD) approaches.
    • To analyze the impact of refractive index variations on UWOC performance.

    Main Methods:

    • Development of a Monte Carlo simulation model based on refractive index variation in a horizontal link.
    • Simulation of UWOC performance under weak and moderate turbulence regimes.
    • Comparison of simulation results with experimental data for weak turbulence.

    Main Results:

    • The proposed model accurately reproduces the lognormal probability density function of received intensity for weak and moderate turbulence.
    • Simulation outcomes align well with existing experimental data for weak turbulence.
    • Scintillation index and turbulence-induced power loss are quantified against link span for varying refractive index changes.

    Conclusions:

    • The developed Monte Carlo model offers an efficient and accurate method for simulating UWOC in turbulent waters.
    • The model provides valuable insights into turbulence-induced performance degradation in UWOC systems.
    • This simulation approach can aid in the design and optimization of robust UWOC systems.