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Performance of Vertical Underwater Wireless Optical Communications With Cascaded Layered Modeling

Yi Lou, Julian Cheng, Donghu Nie, Gang Qiao

2022IEEE Transactions on Vehicular Technology38 citationsDOI

Abstract

This paper investigates the performance of vertical underwater wireless optical communication (UWOC) systems in the presence of air bubbles and temperature gradients. We consider a generalized UWOC channel model that contains <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$N$</tex-math></inline-formula> layers, each having the same distribution but with different parameters to consider the vertically inhomogeneous nature of the underwater environment. To capture the effects of air bubbles and temperature gradients on channel statistics, we model each layer with a mixture exponential-generalized Gamma distribution. A closed-form probability density function (PDF) is presented for the end-to-end signal-to-noise ratio. Based on the PDF, we derive the average bit-error-rate (BER) and the ergodic capacity. Moreover, we provide asymptotic BER and ergodic capacity results in simple forms. The performance and behavior of vertical UWOC systems are thoroughly analyzed, and all the derived expressions are verified via Monte Carlo simulations.

Topics & Concepts

Ergodic theoryProbability density functionChannel (broadcasting)UnderwaterExponential functionWirelessBit error rateGamma distributionMonte Carlo methodExponential distributionSignal-to-noise ratio (imaging)Computer scienceStatistical physicsElectronic engineeringApplied mathematicsMathematicsPhysicsMathematical analysisTelecommunicationsEngineeringStatisticsGeologyOceanographyOptical Wireless Communication TechnologiesUnderwater Vehicles and Communication SystemsAdvanced Wireless Communication Technologies
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