EventsThe 8th International Electronic Conference on Atmospheric Sciences
Published
This submission belongs to the session S3. Aerosols of the event The 8th International Electronic Conference on Atmospheric Sciences
Published date
09 Oct, 2026
Academic Editor
author-avatarDimitris Kaskaoutis
Citation
Anton Lepilin, Vladimir Toporovsky, Oleg Kolesnikov, Ilya Galaktionov, Numerical modeling of the efficiency of optical communication channels taking into account the combined effects of hydrometeors and atmospheric turbulence, in Proceedings of The 8th International Electronic Conference on Atmospheric Sciences, 14 October–16 October 2026, MDPI: Basel, Switzerland
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Numerical modeling of the efficiency of optical communication channels taking into account the combined effects of hydrometeors and atmospheric turbulence

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Ilya Galaktionov 2,3
1. Optical and quantum communications department, Moscow Technical University of Communications and Informatics, Moscow 111024, Russia
2. Quantum Center, Moscow Technical University of Communications and Informatics, Moscow, 111024, Russia
3. Physics Department, Moscow Polytechnic University, Moscow, 107023, Russia
Abstract

Aerosols and hydrometeors are primary modulators of near-infrared radiative transfer, governing extinction and visibility degradation in FSO links. We analyze size-dependent scattering regimes via the size parameter x=2πr/λ. Rayleigh scattering (r≪λ) is negligible in the NIR under high aerosol loading; Mie scattering (r≈λ) dominates for accumulation-mode aerosols, while geometric scattering (r≫λ) applies to coarse particles and fog droplets.

We estimate path attenuation from meteorological visibility using the empirical Kim model as a fitting surrogate. For V<0.5 km, q=0 yields wavelength-independent attenuation, consistent with geometric optics for large droplets, though no direct Mie integration over the size distribution is performed. Power laws handle rain and snow. Turbulence-induced intensity scintillation is modeled separately: lognormal for weak turbulence (σ²_R<0.3) and Gamma–Gamma for moderate-to-strong. Aerosol attenuation is determined as fixed path loss, reducing average received power, while turbulence provides multiplicative stochastic modulation of instantaneous intensity. Average BER integrates instantaneous BER over the turbulence-induced probability density function, BER_avg = ∫ BER(I·S) p(I) dI, where S = P_avg/P_sens is the ratio of average power to receiver sensitivity.

The system assumes OOK at λ=1550 nm, P_tx=5 dBm, P_sens=-30 dBm (at BER=1e-9), L=1.0 km, and L_sys=3 dB. For severe aerosol loading (V=0.15 km, C_n²=1e-14), the Kim model yields an attenuation of 26.08 dB/km; total loss is 29.08 dB. The combined model predicts BER=1.038e-9, confirming that empirical attenuation and statistical turbulence parameterizations, integrated into a single pipeline, quantitatively assess link operability under dense fog and strong turbulence.

Our contribution integrates classical attenuation and turbulence sub-models into a unified, open-source computational pipeline with automatic regime selection, enabling rapid end-to-end link performance assessment for urban FSO deployments. When combined with multi-wavelength extinction data and appropriate regularization, the forward model could also serve in aerosol characterization; however, retrieval of microphysical properties is beyond the scope.

Keywords
atmospheric turbulence
aerosols
light scattering
remote sensing
urban optical links
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