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Article

Bi-LSTM-Augmented Deep Neural Network for Multi-Gbps VCSEL-Based Visible Light Communication Link

Department of Information and Telecommunication Engineering, Incheon National University, Incheon 22012, Korea
*
Authors to whom correspondence should be addressed.
These authors contributed equally to this work.
Academic Editors: Danshi Wang, Min Zhang and Zhiguo Zhang
Sensors 2022, 22(11), 4145; https://doi.org/10.3390/s22114145
Received: 30 April 2022 / Revised: 20 May 2022 / Accepted: 25 May 2022 / Published: 30 May 2022
(This article belongs to the Special Issue Optical Network and Optical Communication Technology with Sensors)
With the remarkable advances in vertical-cavity surface-emitting lasers (VCSELs) in recent decades, VCSELs have been considered promising light sources in the field of optical wireless communications. However, off-the-shelf VCSELs still have a limited modulation bandwidth to meet the multi-Gb/s data rate requirements imposed on the next-generation wireless communication system. Recently, employing machine learning (ML) techniques as a method to tackle such issues has been intriguing for researchers in wireless communication. In this work, through a systematic analysis, it is shown that the ML technique is also very effective in VCSEL-based visible light communication. Using a commercial VCSEL and bidirectional long short-term memory (Bi-LSTM)-based ML scheme, a high-speed visible light communication (VLC) link with a data rate of 13.5 Gbps is demonstrated, which is the fastest single channel result from a cost-effective, off-the-shelf VCSEL device, to the best of the authors’ knowledge. View Full-Text
Keywords: visible light communication (VLC); machine learning (ML); optical wireless communication (OWC); long short-term memory (LSTM) visible light communication (VLC); machine learning (ML); optical wireless communication (OWC); long short-term memory (LSTM)
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MDPI and ACS Style

Oh, S.; Yu, M.; Cho, S.; Noh, S.; Chun, H. Bi-LSTM-Augmented Deep Neural Network for Multi-Gbps VCSEL-Based Visible Light Communication Link. Sensors 2022, 22, 4145. https://doi.org/10.3390/s22114145

AMA Style

Oh S, Yu M, Cho S, Noh S, Chun H. Bi-LSTM-Augmented Deep Neural Network for Multi-Gbps VCSEL-Based Visible Light Communication Link. Sensors. 2022; 22(11):4145. https://doi.org/10.3390/s22114145

Chicago/Turabian Style

Oh, Seoyeon, Minseok Yu, Seonghyeon Cho, Song Noh, and Hyunchae Chun. 2022. "Bi-LSTM-Augmented Deep Neural Network for Multi-Gbps VCSEL-Based Visible Light Communication Link" Sensors 22, no. 11: 4145. https://doi.org/10.3390/s22114145

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