Advancements in Wireless Optical Communication: Integrating Visible Light and Beyond

A special issue of Photonics (ISSN 2304-6732). This special issue belongs to the section "Optical Communication and Network".

Deadline for manuscript submissions: 10 December 2024 | Viewed by 911

Special Issue Editors


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Guest Editor
State Key Laboratory of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications, School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, China
Interests: visible light communications; underwater optical wireless communications
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
State Key Laboratory of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications (BUPT), Beijing, China
Interests: visible light communications; underwater optical wireless communications
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In recent years, significant progress has been achieved in various key technologies in the field of visible light communications. Light sources have evolved from ordinary lighting LEDs to micro-LEDs, new-material LEDs, and laser diodes. Detectors have evolved from PIN diodes and APDs to single-photon detectors. Deep learning technology has been applied to demodulation, equalization, etc. Optical reconfigurable intelligent surface (ORIS) technology has been used to improve the robustness of visible light communication, and visible light communication based on laser diodes can reach a speed of 1Tbits/s. The application of new methods has improved the performance of visible light communication technologies. From an application perspective, visible light communication technology is considered one of the key technologies of 6G. It is a vital technology in the field of underwater short-range and high-speed communication and has multiple advantages in positioning. Recently, in particular, the Internet of Vehicles has attached great importance to visible light communication technology, and some important experiments are currently underway.

This Special Issue invites manuscripts that introduce recent advancements in wireless optical communications. All theoretical, numerical, and experimental papers are accepted. Topics can include, but are not limited to, the following:

  • Breakthroughs in light sources and detectors;
  • Pre-emphasis and post-equalization technologies;
  • Deep learning in visible light communication technologies;
  • Underwater optical wireless communications;
  • Visible light communication networking technology;
  • Li-Fi;
  • Laser-based wireless optical communications;
  • Visible light positioning;
  • Modulation and demodulation technologies;
  • Photon counting detection;
  • Experiment demonstrations;
  • Optical reconfigurable intelligent surface (ORIS);
  • Vehicle-to-vehicle visible light communications;
  • OWC between drones.

Prof. Dr. Minglun Zhang
Dr. Hongyu Zhou
Guest Editors

Manuscript Submission Information

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Keywords

• visible light communications
• underwater optical wireless communications
• deep learning
• channel model
• high-speed transmission

Published Papers (2 papers)

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18 pages, 12880 KiB  
Article
Low-Cost 3D Indoor Visible Light Positioning: Algorithms and Experimental Validation
by Sanjha Khan, Josep Paradells and Marisa Catalan
Photonics 2024, 11(7), 626; https://doi.org/10.3390/photonics11070626 - 29 Jun 2024
Viewed by 349
Abstract
Visible light technology presents significant advancement for indoor IoT applications. These systems offer enhanced bit rate transmission, enabling faster and reliable data transfer. Moreover, optical-based visible light systems facilitate improved location services within indoor environments. However, many of these systems still exhibit limited [...] Read more.
Visible light technology presents significant advancement for indoor IoT applications. These systems offer enhanced bit rate transmission, enabling faster and reliable data transfer. Moreover, optical-based visible light systems facilitate improved location services within indoor environments. However, many of these systems still exhibit limited accuracy within several centimeters, even when relying on costly high-resolution cameras. This paper introduces a novel low-cost visible light system for 3D positioning, designed to enhance indoor positioning accuracy using low-resolution images. Initially, we propose a non-integer pixel (NI-P) algorithm to enhance precision without the need for higher-resolution images. This algorithm allows the system to identify the precise light spot coordinates on the low-resolution images, enabling accurate positioning. Subsequently, we present an algorithm leveraging the precise coordinate data from the previous step to determine the 3D position of objects even in front of errors in the measures. Benefiting from high accuracy, reduced cost, and low complexity, the proposed system is suitable for implementation on low-end hardware platforms, thereby increasing the versatility and feasibility of visible light technologies in indoor settings. Experimental results show an average 2D positioning error of 1.08 cm and 3D error within 1.4 cm at 2.3 m separation between the object and camera, achieved with an average positioning time of 20 ms on a low-end embedded device. Consequently, the proposed system offers fast and highly accurate indoor positioning and tracking capabilities, making it suitable for applications like mobile robots, automated guided vehicles, and indoor parking management. Furthermore, it is easy to deploy and does not require re-calibration. Full article
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13 pages, 1736 KiB  
Article
Coalitional Game Theory-Based Resource Allocation Strategy for Robust IRS-VLC System
by Changling Liu, Jianping Wang, Lifang Feng, Huimin Lu, Haijian Sun and Rose Qingyang Hu
Photonics 2024, 11(6), 582; https://doi.org/10.3390/photonics11060582 - 20 Jun 2024
Viewed by 310
Abstract
This study investigates the optimization of energy efficiency in robust visible light communication (VLC)—intelligent reflecting surface (IRS) systems through a novel resource allocation strategy based on coalitional game theory. By employing coalitional game theory, the proposed strategy optimizes LED power and IRS energy [...] Read more.
This study investigates the optimization of energy efficiency in robust visible light communication (VLC)—intelligent reflecting surface (IRS) systems through a novel resource allocation strategy based on coalitional game theory. By employing coalitional game theory, the proposed strategy optimizes LED power and IRS energy consumption within practical constraints. IRS elements form coalitions centered around a central unit or units, enhancing the system performance through coordinated element management. Simulation results demonstrate significant improvements in energy efficiency and signal quality compared to conventional methods, validating the effectiveness of the proposed strategy. Full article
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