Statistical Studies Using Goodness-of-Fit Techniques With Dynamic Underwater Visible Light Communication Channel Modeling

In this paper, we studied the probability distribution function (PDF) of channel gain dynamic underwater visible light communication (UVLC) model for different types water using goodness-of-fit (GoF). We used channels at system parameters with scenarios. First, Zemax Optics Studio simulator is to simulate UVLC channels. links are examined Monte Carlo Ray-Tracing (MCRT) simulation three channels; namely, pure sea channel, clear ocean and coastal configuration types. With presence blocking divers, added a movement in single input multiple users (SIMU) scenario. Our based on Programming Language (ZPL) sequence Studio. The GoF tests get degree fitness between data set well-known candidate distributions determine best fit. R statistical programming language applied predefined algorithms optimum fitting each result. Kolmogorov-Smirnov (KS), Chi-Square (CS), Cramer-Von-Mises (CVM) Anderson-Darling (AD) represent four computation techniques received power enhanced by 35% when detector area increases from 25 m 2 100 channel. obtained results reveal that represented Weibull, Gamma or Lognormal distributions.