Deep learning-aided binary visible light communication systems

Hoon Lee, Tony Q.S. Quek, Sang Hyun Lee

研究成果: Conference contribution

1 引文 斯高帕斯(Scopus)

摘要

This paper investigates a deep learning (DL) method for on-off keying (OOK) based visible light communication (VLC) systems where a lighting emitting diode transmits binary optical pulses to a receiver. Universal dimming abilities are considered such that the VLC transceiver meets arbitrary dimming requirement of external users. This poses a combinatorial formulation optimizing binary codewords under multiple dimming constraints. To tackle this, DL techniques are employed to design an OOK encoder-decoder pair over noisy optical channels. For universal dimming support, the training of the DL-based VLC transceiver turns out to be a constrained training problem with multiple dimming constraints. This paper employs a dual formulation to develop a constrained training strategy. Numerical results show the effectiveness of the proposed transceiver design.

原文English
主出版物標題2019 IEEE Globecom Workshops, GC Wkshps 2019 - Proceedings
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9781728109602
DOIs
出版狀態Published - 2019 十二月
事件2019 IEEE Globecom Workshops, GC Wkshps 2019 - Waikoloa, United States
持續時間: 2019 十二月 92019 十二月 13

出版系列

名字2019 IEEE Globecom Workshops, GC Wkshps 2019 - Proceedings

Conference

Conference2019 IEEE Globecom Workshops, GC Wkshps 2019
國家United States
城市Waikoloa
期間19-12-0919-12-13

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Hardware and Architecture
  • Software
  • Control and Optimization

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