Abstract

A comprehensive multiparameter model is proposed for underwater wireless optical communication (UWOC) channels to integrate the effects of absorption, scattering, and dynamic turbulence. The simulation accuracy is further improved by the combined use of the subharmonic method and the strict sampling constraint method by comparing the phase structure function with the theoretical value. The average light intensity and scintillation index are analyzed using the channel parameters of absorption, scattering, turbulence, flow velocity, and transmission distance. Under weak or medium turbulence, the bit error rate (BER) performance can be effectively improved by increasing the transmitting light power. The power penalty of a 50 m UWOC channel is 5.8 dBm from pure seawater to ocean water and 1.0 dBm from weak turbulence to medium turbulence, with the BER threshold of 10−6.

Highlights

  • A comprehensive multiparameter model is proposed for underwater wireless optical communication (UWOC) channels to integrate the effects of absorption, scattering, and dynamic turbulence

  • Under weak turbulence in pure seawater, the bit error rate (BER) is below 10−6 with a transmitting power higher than 0.7 dBm, but it becomes about 10−2 under medium turbulence in ocean water

  • The subharmonic method and the strict sampling constraint method have been applied in combination to improve the modeling accuracy to 96.19% in line with the theoretical statistics

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Summary

Comprehensive Multiparameter Model for UWOC Channels

The underwater optical channel is affected by absorption, scattering, and turbulence. The refractive index of water will slightly increase as the pressure increases or the temperature decreases within the normal range [24], and the dissipation rate of mean-squared temperature χ T in the PSD function in Equation (4) is related to the temperature gradient of water [23] In this way, the phase values on the screen can be obtained to model the effect of underwater turbulence. Based on the above channel model, the comprehensive analysis of all the relevant parameters’ effects on the UWOC channel can be carried out, including the absorption and scattering coefficients ( a, b), the turbulence inherent properties (ε, χT , ω ), the macroscopic velocity of water flow (ν), and the total transmission distance (z). Both can be obtained from the PDFs through numerical simulations. σN 2 is the additive white Gaussian noise (AWGN) introduced by the communication system

Optimization of the Phase Screen Model
Received Light Spots
PDF of the UWOC Channel
Average Intensity and Scintillation Index of the Received Light
Findings
BER Performance of the UWOC System
Conclusions
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