SLIPT for Underwater IoT: System Modeling and Performance Analysis

TL;DR

This paper develops a comprehensive analytical framework for underwater optical communication systems that combine data transmission and energy harvesting, enabling self-powered underwater sensors with detailed performance metrics.

Contribution

It introduces a unified model for SLIPT in UWOC systems, incorporating channel effects and deriving closed-form expressions for key performance indicators.

Findings

Derived closed-form expressions for outage probability and bit error rate.

Quantified the impact of absorption, turbulence, and misalignment on system performance.

Provided design insights for optimizing underwater optical communication systems.

Abstract

This paper presents a unified analytical framework for a two phase underwater wireless optical communication (UWOC) system that integrates Simultaneous Lightwave Information and Power Transfer (SLIPT) using a photovoltaic (PV) panel receiver. The proposed architecture enables self powered underwater sensor nodes by leveraging wide area and low cost PV panels for concurrent optical signal detection and energy harvesting. We develop a composite statistical channel that combines distance dependent absorption, turbulence induced fading characterized by the mixture Exponential Generalized Gamma (EGG )distribution, and beam misalignment due to pointing errors. Based on this model we derive closed form expressions for the probability density function, the cumulative distribution function, the outage probability (OP), the average bit error rate, the ergodic capacity, and the harvested power using Meijer G and Fox H functions. Overall, the paper introduces a practical analytical framework that provides clear guidance for design, optimization, and operation of SLIPT based UWOC systems.