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Chi N, Chen H. Progress and prospect of high-speed visible light communication[J]. Opto-Electron Eng, 2020, 47(3): 190687. doi: 10.12086/oee.2020.190687
Citation: Chi N, Chen H. Progress and prospect of high-speed visible light communication[J]. Opto-Electron Eng, 2020, 47(3): 190687. doi: 10.12086/oee.2020.190687
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Progress and prospect of high-speed visible light communication

  • Key Laboratory for Information Science of Electromagnetic Waves (MoE), Department of Communication Science and Engineering, Fudan University, Shanghai 200433, China

    • Fund Project: Supported by National Key R&D Program of China (2017YFB0403603) and National Natural Science Foundation of China (61571133)
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Received Date 13 November 2019
Revised Date 11 February 2020
Published Date 01 March 2020
    Abstract
  • Based on visible light communication technology which has been a research hotspot in the field of communication, this paper reviews the background of visible light communication, illustrates the basic system architecture and explores the research progress of visible light communication around five frontier directions: material chips, high-speed systems, multiplexing networks, underwater visible light communication and machine learning. The challenges faced by visible light communication are analyzed. Finally, looking forward to the prospect of visible light communication: in the intelligent era of future, visible light communication will become an indispensable part of communication networks with its advantages of high-speed transmission, and cooperate with other communication technologies to complement human life.
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    • Overview

  • Overview: Visible light communication (VLC) is a wireless optical transmission technology that utilizes visible light with a wavelength in the range of 380 nm to 790 nm. It can realize high-speed data transmission by using LED (light emitting diode) with fast response characteristics as a transmitter. VLC has offered several advantages such as license-free, cost-effective, immunity to electromagnetic interference and high security, comparing with traditional wireless communication. The biggest advantage of VLC is high speed. The existing VLC experiment can achieve a transmission rate of more than ten gigabits per second. This advantage makes VLC inevitable in the future intelligent era B5G/6G ultra-high speed ubiquitous optical networking. With such advantages, VLC has become an important scientific theme supported by governments since its inception. This paper explores the research progress of VLC around five frontier directions: material chips, high-speed systems, multiplexing networks, underwater visible light communication and applications of machine learning in VLC. Among them, material chips mainly include new light-emitting devices and light-receiving devices; high-speed systems introduce the development of VLC transmission rates; multiplexing networks are built around VLC access networks; underwater visible light communication and machine learning are the rapid and popular research directions in the field of VLC currently. High performance materials including light transmitters and receivers are indispensable for high-speed VLC. Many researchers have been concentrated on the fabrication of new LED materials. In order to further improve the transmission rate of VLC, researchers have done a lot of research from advanced modulation technology, signal pre-equalization and post-equalization, and made a series of breakthroughs. Studying how to connect VLC to an existing communication network and how to build a visible light wireless system composed of multiple visible light access points (VAPs), are the keys to the practical use of VLC. Under the intelligent era of the Internet of Everything, the underwater visible light communication is an indispensable component. Along with the constant exploration of researchers, underwater visible light communication achieves higher and higher transmission rates. However, due to the harsh underwater environment, there are few relevant theoretical models for the effects of suspended matter and particulate matter, the influence of underwater turbulence on the VLC channel. These disturbances increase the uncertainty of the performance of underwater visible light communication systems and require further research in the future. Some classical machine learning algorithms such as K-means, DBSCAN, deep learning, etc. have shown great potential and been tried by researchers to solve the problems in VLC. Looking forward to the prospect of VLC: in the intelligent era of future, VLC will become an indispensable part of communication networks with its advantages of high-speed transmission, and cooperate with other communication technologies to complement human life.

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