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Screen-Based Visible Light Communication

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Electrical, Electronics and Communications Engineering".

Deadline for manuscript submissions: closed (20 April 2025) | Viewed by 603

Special Issue Editors


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Guest Editor
Department of Electronic Engineering, Yeungnam University, Gyeongsan 38541, Republic of Korea
Interests: signal processing for wireless communications; optical wireless communications; electromagnetic nanocommunications; molecular communications; 5G and 6G communications
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Guest Editor Assistant
Department of Electronic Engineering, Yeungnam University, Gyeongsan 38541, Republic of Korea
Interests: electromagnetic nanonetworks; molecular communications; optical camera communication

Special Issue Information

Dear Colleague,

Screen-based visible light communication (SB-VLC), often referred to as screen– (or display)–camera communication (SCC) or visual MIMO (multiple input, multiple output), is a burgeoning field at the intersection of computer vision, human–computer interaction, and wireless communications that has witnessed significant advancements in recent years. The proliferation of smartphones, tablets, and other devices equipped with high-quality cameras has facilitated this application of optical camera communication (OCC). This Special Issue aims to gather innovative research, reviews, and practical implementations that explore the use of screens and cameras (or photodiodes) as communication devices. It will provide a platform for researchers and practitioners to share advancements, challenges, and future directions in this emerging field.

We welcome submissions on any topic related to screen-based VLC. Below is the nonexclusive list of principal topics:

  • Multitechnology SB-VLC/OCC/SCC/visual MIMO transceiver design;
  • Channel modeling, high data rates, and digital signal processing in SB-VLC;
  • Conventional and non-orthogonal modulation, coding, and multiple access in SCC;
  • Optical camera communication (OCC);
  • Underwater OCC;
  • Adaptive VLC;
  • Applications of visual MIMO/OCC/SB-VLC in intelligent transport systems;
  • Machine learning and neural networks in SB-VLC, OCC, SCC, and visual MIMO;
  • New architectures in SB-VLC;
  • IEEE 802.15.7 standardization;
  • Security and privacy issues in SB-VLC, OCC, and SCC.

Prof. Dr. Sung-Yoon Jung
Guest Editor

Dr. Pankaj Singh
Guest Editor Assistant

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Keywords

  • visible light communication
  • visual MIMO
  • screen–camera communication
  • optical camera communication
  • underwater communication
  • vehicular communication
  • near field communication
  • color barcodes
  • QR codes
  • screen–camera links
  • mobile devices
  • image processing
  • short-range smartphone communication
  • speaker–microphone links
  • photdiodes
  • encoding
  • decoding

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Published Papers (1 paper)

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Research

13 pages, 2180 KiB  
Article
Wide Field-of-View Air-to-Water Rolling Shutter-Based Optical Camera Communication (OCC) Using CUDA Deep-Neural-Network Long-Short-Term-Memory (CuDNNLSTM)
by Yung-Jie Chen, Yu-Han Lin, Guo-Liang Shih, Chi-Wai Chow and Chien-Hung Yeh
Appl. Sci. 2025, 15(11), 5971; https://doi.org/10.3390/app15115971 - 26 May 2025
Viewed by 345
Abstract
Nowadays, underwater activities are becoming more and more important. As the number of underwater sensing devices grows rapidly, the amount of bandwidth needed also increases very quickly. Apart from underwater communication, direct communication across the water–air interface is also highly desirable. Air-to-water wireless [...] Read more.
Nowadays, underwater activities are becoming more and more important. As the number of underwater sensing devices grows rapidly, the amount of bandwidth needed also increases very quickly. Apart from underwater communication, direct communication across the water–air interface is also highly desirable. Air-to-water wireless transmission is crucial for sending control information or instructions from unmanned aerial vehicles (UAVs) or ground stations above the sea surface to autonomous underwater vehicles (AUVs). On the other hand, water-to-air wireless transmission is also required to transmit real-time information from AUVs or underwater sensor nodes to UAVs above the water surface. Previously, we successfully demonstrated a water-to-air optical camera-based OWC system, which is also known as optical camera communication (OCC). However, the reverse transmission (i.e., air-to-water) using OCC has not been analyzed. It is worth noting that in the water-to-air OCC system, since the camera is located in the air, the image of the light source is magnified due to diffraction. Hence, the pixel-per-symbol (PPS) decoding of the OCC pattern is easier. In the proposed air-to-water OCC system reported here, since the camera is located in the water, the image of the light source in the air will be diminished in size due to diffraction. Hence, the PPS decoding of the OCC pattern becomes more difficult. In this work, we propose and experimentally demonstrate a wide field-of-view (FOV) air-to-water OCC system using CUDA Deep-Neural-Network Long-Short-Term-Memory (CuDNNLSTM). Due to water turbulence and air turbulence affecting the AUV and UAV, a precise line-of-sight (LOS) between the AUV and the UAV is difficult to achieve. OCC can provide wide FOV without the need for precise optical alignment. Results revealed that the proposed air-to-water OCC system can support a transmission rate of 7.2 kbit/s through a still water surface, and 6.6 kbit/s through a wavy water surface; this satisfies the hard-decision forward error correction (HD-FEC) bit-error-rate (BER). Full article
(This article belongs to the Special Issue Screen-Based Visible Light Communication)
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