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Main Authors: Shang, Shunyuan, Shi, Ziyuan, Alouini, Mohamed-Slim
Format: Preprint
Published: 2025
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Online Access:https://arxiv.org/abs/2511.09680
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author Shang, Shunyuan
Shi, Ziyuan
Alouini, Mohamed-Slim
author_facet Shang, Shunyuan
Shi, Ziyuan
Alouini, Mohamed-Slim
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2511_09680
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle SLIPT for Underwater IoT: System Modeling and Performance Analysis
Shang, Shunyuan
Shi, Ziyuan
Alouini, Mohamed-Slim
Numerical Analysis
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.
title SLIPT for Underwater IoT: System Modeling and Performance Analysis
topic Numerical Analysis
url https://arxiv.org/abs/2511.09680