• Nakka Abbulu Pavan
• Dr.Maruvada Sailaja

Three key degradation phenomena impact optical signal transmission under water: absorption, scattering, and turbulence. However, the statistical distribution of turbulence-induced fading is still poorly understood. In this paper, we evaluate the performance of underwater wireless optical communication (UWOC) systems in relation to well-known statistical distributions for optical turbulence such as lognormal, Gamma, K, Weibull, and exponentiated Weibull distributions in order to investigate the effect of different probability density functions (PDFs) proposed for the statistical behaviour of fading under water. For accuracy, we use a generic channel model with absorption and scattering effects that is based on the Monte Carlo (MC) numerical approach, and we treat the fading effect as a multiplicative coefficient with the aforementioned PDFs. We construct closedform formulas for the average bit error rate (BER) and outage probability, as system performance measures, with regard to all of the channel degrading effects and the statistical distributions indicated above. Our findings show that as turbulence strength, as measured by the scintillation index value, increases, the gap between system performance predicted by different statistical distributions widens, and this gap manifests primarily as a change in the slope of average BER or outage probability curves versus average transmitted power per bit. This highlights the significance of precise channel models in the design of UWOC systems.

"An analysis of the performance of underwater wireless optical communication system over a wide range of optical turbulence", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 10, page no.d447-d454, October-2022, Available :http://www.jetir.org/papers/JETIR2210370.pdf

"An analysis of the performance of underwater wireless optical communication system over a wide range of optical turbulence", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 10, page no. ppd447-d454, October-2022, Available at : http://www.jetir.org/papers/JETIR2210370.pdf