Optical Wireless Communication in 5G 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: 20 July 2025 | Viewed by 1680

Special Issue Editors


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Guest Editor
Electronics Engineering Department, University of Rome “Tor Vergata”, 00133 Rome, Italy
Interests: antennas and wave-propagations; array antennas; metamaterials and metasurfaces; synthetic aperture radars (SAR); multiple-input multiple-output (MIMO) systems; waveguide slotted antenna arrays; substrate integrated waveguides (SIWs); antenna impedance matching networks; filters; on-chip antennas; microwave; millimeter-waves and terahertz applications; terahertz integrated circuits; and electromagnetic compatibilities
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Guest Editor
Department of Electrical and Electronics Engineering, Dogus University, 34775 Istanbul, Turkey
Interests: RF high power amplifier (HPA) design; automated circuit design; optimization algorithms applied to HPA designs using machine learning; antenna designs; analog circuit and system designs (CMOS)
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue is gathering recent research and developments to overcome the existing challenges in “Optical Wireless Communication in 5G and Beyond”.

Optical wireless communications is a promising technology covering high-data rates in 5G and beyond with extensive connectivity. Due to its relative superiorities, such as low power consumption, improved capacity, inherent security, simplicity of deployment, decreased time-to-market, low-mass equipment, license-free operation, and exemption to electromagnetic interference, it can be an alternative and/or complementary technology to its RF counterparts. Hence, there have been remarkable technological developments in optical communications to guarantee an exceptional quality of service.

Here, we broadly cover the main perspectives of such systems, including (i) the fundamental principles, (ii) devices and networks, (iii) modulation approaches, and (iv) channel models and system performance analysis. In addition, this Special Issue deals with various drawbacks encountered in optical wireless communications, along with planning feasible solutions and recent research trends. It aims to offer an in-depth discussion of the 5G and Beyond applications. In view of this, prospective authors are invited to present their research findings on perspectives for network requirements and transmission techniques that are obligatory to improve the efficiency of future optical wireless communications. Original research articles and reviews are welcome for submission. Research areas may include (but are not limited to) the following:

  • Optical wireless-based communication technologies;
  • Hybrid architecture and network systems;
  • Optical sources and detectors;
  • Optical links for space applications;
  • Indoor and outdoor optical wireless communication channel modeling;
  • Modulation schemes;
  • Innovative photonic devices and components;
  • Mm-wave and MIMO architectures;
  • Transceiver design/optimization;
  • Terahertz bands.

We look forward to receiving your contributions.

Dr. Mohammad Alibakhshikenari
Dr. Chen Chen
Dr. Lida Kouhalvandi
Guest Editors

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Keywords

  • 5G and beyond networks
  • diverse approaches
  • system models
  • visible-light communications
  • channel characterization
  • millimeter-wave and terahertz devices
  • metamaterials and metasurfaces
  • waveguides and transmission lines
  • wave propagations and beamforming
  • wireless communications
  • space and satellite applications
  • high-frequency circuits
  • optimization methods
  • optical networks
  • reconfigurable intelligent surface (RIS)
  • internet of things (IoT) networks
  • 6G communications

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Published Papers (1 paper)

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Research

39 pages, 7224 KiB  
Article
A Deep Learning-Based Approach for the Detection of Various Internet of Things Intrusion Attacks Through Optical Networks
by Nouman Imtiaz, Abdul Wahid, Syed Zain Ul Abideen, Mian Muhammad Kamal, Nabila Sehito, Salahuddin Khan, Bal S. Virdee, Lida Kouhalvandi and Mohammad Alibakhshikenari
Photonics 2025, 12(1), 35; https://doi.org/10.3390/photonics12010035 - 3 Jan 2025
Cited by 1 | Viewed by 1261
Abstract
The widespread use of the Internet of Things (IoT) has led to significant breakthroughs in various fields but has also exposed critical vulnerabilities to evolving cybersecurity threats. Current Intrusion Detection Systems (IDSs) often fail to provide real-time detection, scalability, and interpretability, particularly in [...] Read more.
The widespread use of the Internet of Things (IoT) has led to significant breakthroughs in various fields but has also exposed critical vulnerabilities to evolving cybersecurity threats. Current Intrusion Detection Systems (IDSs) often fail to provide real-time detection, scalability, and interpretability, particularly in high-speed optical network environments. This research introduces XIoT, which is a novel explainable IoT attack detection model designed to address these challenges. Leveraging advanced deep learning methods, specifically Convolutional Neural Networks (CNNs), XIoT analyzes spectrogram images transformed from IoT network traffic data to detect subtle and complex attack patterns. Unlike traditional approaches, XIoT emphasizes interpretability by integrating explainable AI mechanisms, enabling cybersecurity analysts to understand and trust its predictions. By offering actionable insights into the factors driving its decision making, XIoT supports informed responses to cyber threats. Furthermore, the model’s architecture leverages the high-speed, low-latency characteristics of optical networks, ensuring the efficient processing of large-scale IoT data streams and supporting real-time detection in diverse IoT ecosystems. Comprehensive experiments on benchmark datasets, including KDD CUP99, UNSW NB15, and Bot-IoT, demonstrate XIoT’s exceptional accuracy rates of 99.34%, 99.61%, and 99.21%, respectively, significantly surpassing existing methods in both accuracy and interpretability. These results highlight XIoT’s capability to enhance IoT security by addressing real-world challenges, ensuring robust, scalable, and interpretable protection for IoT networks against sophisticated cyber threats. Full article
(This article belongs to the Special Issue Optical Wireless Communication in 5G and Beyond)
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