Analysis of the Underwater Wireless Optical Communication Channel Based on a Comprehensive Multiparameter Model

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.

An Alternative Experimental Method for Determination of Light Beam Attenuation Coefficient in Underwater Wireless Optical Communication

“…AND WATER TYPES The most widely used theoretical basis to model the effects of attenuation is the Beer-Lambert's law [15]. In UWOC, the received power through the water medium can be obtained via the law as expressed in (1) [1].…”

“…The data rate and the transmission distance are reduced in the presence of salt. Cai et al [15] proposed a multiparameter model to integrate the effects of absorption, scattering and turbulence in underwater optical communication systems using Beer Lambert's law and Monte Carlo. An increase in transmission distance worsens the attenuation and significantly increases the fluctuation of light signals.…”

A Review on Feasible and Reliable Underwater Wireless Optical Communication System for achieving High Data Rate and Longer Transmission Distance

“…A performance evaluation and analysis has been illustrated in [37], where in order to examine the effects of turbulence and further-induced fading in UWOC channels, the fading effect has been treated as a multiplicative coefficient together with the coefficients of scattering and absorption. In their work of Cai, R. et al [38], the authors have developed a detailed multiparameter model for the UWOC channel. The findings showed that by boosting the transmitting light power, bit error rate (BER) performance may be significantly improved under weak or medium turbulence.…”

Improvement of a Monte-Carlo-simulation-based turbulence-induced attenuation model for an underwater wireless optical communications channel

“…The PDF models fitted based on WOS statistics are forcefully supported by the hydrodynamics and wave optics theories, making their accuracy and validity guaranteed. Relevant researches have been reported over the years [22]- [24]. Zhang et al and Shishter et al selected the Log-normal distribution [22] and Gamma distribution [23] to fit the simulation data, respectively.…”

“…Zhang et al and Shishter et al selected the Log-normal distribution [22] and Gamma distribution [23] to fit the simulation data, respectively. Gao et al applied the Weibull distribution to model the fading effect under various turbulent situations [24]. While progress has been made in PDF modeling based on WOS, the simulation scenarios are still confined to atmospheric turbulence, other than that, the simulation process and the details of parameter design are not provided.…”