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Modelling and Simulation of Visible Light Communication
Alammari, Eithar Alashwali, Sara Alamro, Joud
Alammari, Eithar
Alashwali, Sara
Alamro, Joud
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Abstract
Visible Light Communication (VLC) also known as Light Fidelity (Li-Fi), has emerged as a promising alternative to traditional communication systems due to its ability to offer highspeed, secure, and energy-efficient data transmission. However, underwater communication systems face significant challenges such as high attenuation, scattering, and limited bandwidth, which impede reliable, high-speed data transmission. This project focuses on the design and implementation of two advanced underwater communication systems using Visible Light Communication (VLC) technology: an RGB laser-based Non-Return-to-Zero On-Off Keying (NRZ-OOK) system and a Blue Laser-based 4-Quadrature Amplitude Modulation (4-QAM) Orthogonal Frequency Division Multiplexing (OFDM) system. The primary objective is to overcome traditional communication system limitations by increasing available bandwidth, enhancing spectral efficiency, and optimizing system performance through machine learning (ML). The RGB laser NRZ-OOK system employs Wavelength Division Multiplexing (WDM) to transmit data across three distinct red, green, and blue laser wavelengths, enabling simultaneous data streams with minimal interference. To enhance system performance, a Random Forest Classifier (RFC) is used to classify water conditions, allowing the system to adjust transmission parameters according to the predicted class dynamically. In contrast, the 4- QAM-OFDM system, using a blue laser at 450 nm, maximizes data rate and bandwidth. XGBoost is applied to classify environmental conditions in real-time, dynamically adjusting laser power based on water quality to ensure optimal signal strength and communication reliability. Integrating these ML techniques RFC for the RGB system and XGBoost for the 4- QAM-OFDM system enables adaptive control that optimizes system performance in real-world underwater conditions. The results demonstrate that both systems achieve high-speed, reliable communication, with optimized bandwidth and robust signal integrity.