2018/10/15 by Emna Zedini, Zedini, Emna, Hassan M. Oubei +9 · 1 citation
Engineering · Environmental Science · #FOS: Computer and information sciences #Information Theory (cs.IT) #Optical Wireless Communication Technologies #Underwater Vehicles and Communication Systems #Water Quality Monitoring Technologies
paper · pdf · doi:10.48550/arxiv.1810.06314
openalex publication_date 2018/10/15 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
A unified statistical model is proposed to characterize turbulence-induced\nfading in underwater wireless optical communication (UWOC) channels in the\npresence of air bubbles and temperature gradient for fresh and salty waters,\nbased on experimental data. In this model, the channel irradiance fluctuations\nare characterized by the mixture Exponential-Generalized Gamma (EGG)\ndistribution. We use the expectation maximization (EM) algorithm to obtain the\nmaximum likelihood parameter estimation of the new model. Interestingly, the\nproposed model is shown to provide a perfect fit with the measured data under\nall channel conditions for both types of water. The major advantage of the new\nmodel is that it has a simple mathematical form making it attractive from a\nperformance analysis point of view. Indeed, we show that the application of the\nEGG model leads to closed-form and analytically tractable expressions for key\nUWOC system performance metrics such as the outage probability, the average\nbit-error rate, and the ergodic capacity. To the best of our knowledge, this is\nthe first-ever comprehensive channel model addressing the statistics of optical\nbeam irradiance fluctuations in underwater wireless optical channels due to\nboth air bubbles and temperature gradient.\n