An Optical Intelligent Reflecting Surface Assisted Underwater Wireless Communication System

Project Code :TMMACO157

Objective

This work enhances NLOS underwater wireless optical communication (UWOC) using OIRS and PMS, benchmarking against a TIR-based setup. Key performance metrics are analyzed, including SE, EE, BER, and outage probability, with an asymptotic study at high SNR.

Abstract

By altering the environment in which optical waves propagate, optical intelligent reflecting surfaces (OIRS) have the potential to increase the capacity of the upcoming generation of optical wireless communication systems. This work uses a planar mirror surface (PMS) and a submerged OIRS to construct establishing an underwater wireless optical communication (UWOC) system that is not in line of sight (NLOS). The benchmark against which the OIRS/PMS-assisted UWOC systems are evaluated is an NLOS UWOC setup that utilizes the total internal reflection (TIR) phenomena The closed-form expressions for the proposed systems' probability density function (PDF), cumulative distribution function (CDF), average spectral efficiency (SE), average energy efficiency (EE), outage probability, and average bit error rate (BER) are obtained with the aid of the Mellin inverse transform, Meijer's G function, and Fox's H-function. To provide a clearer picture of the performance of these suggested systems at high SNR, an asymptotic analysis of average SE is also carried out. According to the simulation results, the OIRS-assisted UWOC system performs better than the benchmark case. Furthermore, an analysis is conducted on the OIRS deployment's efficient zones

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Block Diagram

Specifications

Software: Matlab R2022b

Hardware:

Operating Systems:

• Windows 10

• Windows 7 Service Pack 1

• Windows Server 2019

• Windows Server 2016

Processors:

Minimum: Any Intel or AMD x86-64 processor

Recommended: Any Intel or AMD x86-64 processor with four logical cores and AVX2 instruction set support

Learning Outcomes

· Introduction to Matlab

· What is EISPACK & LINPACK

· How to start with MATLAB

· About Matlab language

· Matlab coding skills

· About tools & libraries

· Application Program Interface in Matlab

· About Matlab desktop

· How to use Matlab editor to create M-Files

· Features of Matlab

· Basics on Matlab

· What is Communication?

· About Communication

· Introduction to Communication

· How Communication Works?

· Importing the System Design, Characterization and Visualization

· Analyzing of BER tool

· Analyzing of Error Rate Test Console

· Generation of WSN

· WSN network creation

· Nodes Communication

· Clustering

· Routing

· Convolutional

· Equalization and Synchronization etc.,

· How to extend our work to another real time applications

· Project development Skills

o Problem analyzing skills

o Problem solving skills

o Creativity and imaginary skills

o Programming skills

o Deployment

o Testing skills

o Debugging skills

o Project presentation skills

o Thesis writing skills

Demo Video

Artificial Intelligence

Artificial Neural Network
Deep Learning

Image Processing

Fusion and Saliency
Image Segmentation
Image Compression
Image Detection
Image Retrieval
Security Applications
Image Enhancement
Image Denoising

Communications

Modulation Techniques
5G networks
MIMO Transmissions
Device-to-Device Communications

Wireless Sensor Networks

Routing Concepts
Protocols

Signal Processing

Security Applications
Denoising
Smoothing

Antenna

Reconfigurable Antenna
Patch Antenna