International Scientific Journal of Engineering and Management

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An Optical Intelligent Reflecting Surface-Assisted Underwater Wireless Communication System

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Published 7 April 2026
Updated 7 April 2026

An Optical Intelligent Reflecting Surface-Assisted Underwater Wireless Communication System

 

Authors:

Mr. R. S. Pratap Singh¹, B. Siva Rama Raju², C. Harshitha³, A. Aravind Kumar⁴, G. Ganesh⁵, K. Balaji6

 ¹ Associate Professor, Department of Electronics and Communication Engineering,

PBR Visvodaya Institute of Technology & Science, Kavali, Andhra Pradesh, India

²³⁴⁵6 Department of Electronics and Communication Engineering,

PBR Visvodaya Institute of Technology & Science, Kavali (Autonomous), SPSR Nellore (Dt.), Andhra Pradesh – 524201, India

To Cite this Article

Author Names, “Title of the Paper”, International Journal for Modern Trends in Science and Technology, Vol. 06, Issue 06, June 2020, pp.-09-15.

Article Info

Received on 18-November-2020, Revised on 16-December-2020, Accepted on 19-December-2020, Published on 23-December-2020.

 

Abstract:

Optical intelligent reflecting surfaces (OIRS) offer a promising solution for enhancing non-line-of-sight (NLOS) underwater wireless optical communication (UWOC) by adaptively controlling optical wave propagation. This work analyzes PMS- and OIRS-assisted NLOS UWOC systems and compares them with a benchmark scheme based on total internal reflection (TIR). Closed-form expressions for the PDF, CDF, average spectral efficiency (SE), energy efficiency (EE), outage probability, and bit error rate (BER) are derived using the Mellin inverse transform, Meijer’s G-function, and Fox’s H-function, along with an asymptotic SE analysis at high SNR. A machine learning–based OIRS configuration framework is further introduced, employing deep reinforcement learning for dynamic surface optimization and neural network–based channel prediction to adapt to underwater turbulence.

MATLAB Simulation results shows that the proposed learning-enabled OIRS-assisted UWOC system significantly outperforms PMS-assisted and TIR-based schemes, achieving higher SE and EE with reduced outage probability and BER.

Keywords—Optical Intelligent Reflecting Surfaces, Underwater Wireless Optical Communication, Non-Line-of-Sight Communication, Machine Learning–Based Optimization, Deep Reinforcement Learning.

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