Transmission Parameter-based Demodulation in Visible Light Communications using Deep Learning
Subject Areas : Optical Communication
Sarah Ayashm
1
,
Seyed Sadra Kashef
2
*
,
Morteza Valizadeh
3
,
Hasti Akhavan
4
1 - Department of Telecommunication, Faculty of Electrical and Computer and Advanced Technologies, Urmia University, Urmia, Iran
2 - Urmia University
3 - Department of Telecommunication, Faculty of Electrical and Computer and Advanced Technologies, Urmia University, Urmia, Iran
4 - Urmia University
Keywords: Demodulation, VLC, Distances, Convolutional Neural Network, ISI,
Abstract :
Recently, topics within the realm of demodulation in Visible Light Communication (VLC) using Artificial Intelligence have gained significant popularity due to their potential to revolutionize communication systems. This paper proposes an innovative approach by employing a one-dimensional Convolutional Neural Network (CNN) for demodulation in VLC systems. The dataset utilized in this study is both real and publicly available, providing a robust foundation for analysis. It encompasses modulated signals in seven different modulation types, with distances ranging from 0 centimeters to 140 centimeters. This variety ensures a comprehensive evaluation of the model's performance across different conditions. In the proposed model, incorporating distance information is a crucial factor that enhances demodulation accuracy. By accounting for the varying distances between the transmitter and receiver, the model can more accurately interpret the received signals. Additionally, the study suggests utilizing memory to learn previous symbols, which is essential for mitigating the effects of inter-symbol interference (ISI). ISI can significantly degrade the performance of communication systems, and addressing it is vital for reliable demodulation. The results of this research are promising, indicating that the proposed model can significantly improve demodulation accuracy. This advancement in demodulation techniques for VLC systems could lead to more efficient and reliable communication technologies in the future. Overall, the integration of Artificial Intelligence in VLC demodulation presents a cutting-edge solution that could overcome many of the current challenges faced in optical wireless communication, paving the way for enhanced data transmission capabilities.
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