Trends and Prospects in 6G Wireless Communication

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Microwave and Wireless Communications".

Deadline for manuscript submissions: closed (15 April 2025) | Viewed by 7543

Special Issue Editor


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Guest Editor
Science, Engineering & Environment, University of Salford, Manchester M5 4WT, UK
Interests: telecom and mobile; beyond 5G systems; sensor networks and IoT; green ICT; smart environment

Special Issue Information

Dear Colleagues,

Wireless communication technology has revolutionized the way we live, work, and communicate. With each new generation of wireless communication, we have seen significant improvements in data rates, reliability, and connectivity. The development of 6G wireless communication promises to bring even greater advances, enabling new applications and use cases that were previously unimaginable.

However, the development and deployment of 6G wireless communication present significant scientific and technological challenges, as well as social and environmental considerations. The success of 6G will depend on the ability of researchers, engineers, and policymakers to work together to address these challenges and seize the opportunities that 6G presents.

This Special Issue on trends and prospects in 6G wireless communication aims to bring together the latest research and insights from experts in the field to highlight the most promising approaches and solutions for the development and deployment of 6G. This Special Issue will cover a range of topics, from the technical challenges of 6G network architecture and technologies to the societal and environmental implications of 6G deployment. By exploring these issues, we hope to provide a comprehensive overview of the state of the art in 6G wireless communication and to identify the most promising areas for future research and development.

The aim of this Special Issue on trends and prospects in 6G wireless communication is to provide a platform for researchers, engineers, and policymakers to share their latest research and insights on the development and deployment of 6G wireless communication. This Special Issue will cover a range of topics related to 6G, including network architecture and technologies, spectrum management, security and privacy, applications and use cases, standards and regulations, and the environmental impact of 6G.

The subject of 6G wireless communication is highly relevant to the scope of the Electronics journal, which publishes cutting-edge research in the field of electronic engineering and technology. Electronics covers a wide range of topics related to electronics, including wireless communication, signal processing, semiconductor devices, and power electronics. This Special Issue, “Trends and Prospects in 6G Wireless Communication”, is particularly relevant to the journal, as it addresses one of the most exciting and rapidly evolving areas of electronic engineering today. By publishing this Special Issue, Electronics aims to contribute to the ongoing development of 6G wireless communication and to provide a forum for researchers and engineers to share their latest research and insights.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

  • 6G network architecture and technologies;
  • 6G spectrum management;
  • Security and privacy in 6G networks;
  • 6G applications and use cases;
  • Standards and regulations for 6G;
  • 6G and the environment.

I look forward to receiving your contributions.

Dr. Omar Younis Alani
Guest Editor

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Keywords

  • 6G networks
  • terahertz communication
  • spectrum management
  • dynamic spectrum access
  • cognitive radio
  • security and privacy
  • applications and use cases
  • autonomous vehicles
  • virtual reality
  • energy-efficient hardware

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Published Papers (3 papers)

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Research

19 pages, 1960 KiB  
Article
Proposed Explainable Interference Control Technique in 6G Networks Using Large Language Models (LLMs)
by H. Ahmed Tahir, Walaa Alayed, Waqar Ul Hassan and Amir Haider
Electronics 2024, 13(22), 4375; https://doi.org/10.3390/electronics13224375 - 8 Nov 2024
Cited by 3 | Viewed by 1611
Abstract
After the advent of 5th generation (5G) and 6th generation (6G) cellular networks, the complexity of managing real-time signal interference has increased in dense and dynamic environments. Traditional interference techniques, such as frequency reuse and allocation, while effective, lack robust adaptability and transparency [...] Read more.
After the advent of 5th generation (5G) and 6th generation (6G) cellular networks, the complexity of managing real-time signal interference has increased in dense and dynamic environments. Traditional interference techniques, such as frequency reuse and allocation, while effective, lack robust adaptability and transparency needed to reduce interference in advanced communication networks. This paper introduces a novel approach that fuses large language models (LLMs) and Explainable Artificial Intelligence (XAI) to mitigate interference and enhance interference management in the mathematical foundations of 6G networks. The proposed approach provides accurate interference predictions, which the LLM balances with its complex architecture, necessary to meet the demands of beyond 5G and 6G networks, along with interpretable explanations to ensure transparency in decision-making. The proposed framework has been evaluated across various performance metrics. Interference latency consistently achieves lower rates of 0.95 s, compared to traditional techniques, which average around 1 s. Furthermore, the confidence score of the LLM shows a stable value of 0.87 throughout the system, compared to 0.85 in techniques without LLMs. Overall, the XAI-driven LLM demonstrates the potential of incorporating LLMs and XAI into wireless networks to improve resilience in next-generation networks. This proof of concept introduces a novel framework that offers new dimensions in wireless communication, particularly for interference management, prediction, and mitigation. Full article
(This article belongs to the Special Issue Trends and Prospects in 6G Wireless Communication)
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13 pages, 4749 KiB  
Article
Characterization of Unit Cells of a Reconfigurable Intelligence Surface Integrated with Sensing Capability at the mmWave Frequency Band
by Biswarup Rana, Sung-Sil Cho and Ic-Pyo Hong
Electronics 2024, 13(9), 1689; https://doi.org/10.3390/electronics13091689 - 26 Apr 2024
Cited by 2 | Viewed by 1823
Abstract
Integrated sensing and communication (ISAC) is emerging as a main feature for 5G/6G communications. To enhance spectral and energy efficiencies in wireless environments, reconfigurable intelligent surfaces (RISs) will play a significant role in beyond-5G/6G communications. Multi-functional RISs, capable of not only reflecting or [...] Read more.
Integrated sensing and communication (ISAC) is emerging as a main feature for 5G/6G communications. To enhance spectral and energy efficiencies in wireless environments, reconfigurable intelligent surfaces (RISs) will play a significant role in beyond-5G/6G communications. Multi-functional RISs, capable of not only reflecting or transmitting the beam in desired directions but also sensing the signal, wirelessly transferring power to nearby devices, harvesting energy, etc., will be highly beneficial for beyond-5G/6G applications. In this paper, we propose a nearly 2-bit unit cell of RISs integrated with sensing capabilities in the millimeter wave (mmWave) frequency band. To collect a very small fraction of the impinging signals through vias, we employed substrate integrated waveguide (SIW) technology at the bottom of the unit cell and a via. This enabled the sensing of incoming signals, requiring only a small amount of the impinging signal to be collected through SIW. Initially, we utilized Floquet ports and boundary conditions to obtain various parameters of the unit cells. Subsequently, we examined 1 × 3-unit cells, placing them on the waveguide model to obtain the required parameters of the unit cell. By using the waveguide and 1 × 3-unit cell arrays, the sensing amount was also determined. Full article
(This article belongs to the Special Issue Trends and Prospects in 6G Wireless Communication)
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19 pages, 12747 KiB  
Article
Unveiling the Impact: Human Exposure to Non-Ionizing Radiation in the Millimeter-Wave Band of Sixth-Generation Wireless Networks
by Naser Al-Falahy and Omar Y. Alani
Electronics 2024, 13(2), 246; https://doi.org/10.3390/electronics13020246 - 5 Jan 2024
Cited by 1 | Viewed by 3160
Abstract
The investigation into potential hazards linked with millimeter-wave (mmWave) radiation is crucial, given the widespread adoption of body-centric wireless sensor nodes operating within this frequency band. This is particularly pertinent in light of its envisaged use for the upcoming 5G/6G networks and beyond. [...] Read more.
The investigation into potential hazards linked with millimeter-wave (mmWave) radiation is crucial, given the widespread adoption of body-centric wireless sensor nodes operating within this frequency band. This is particularly pertinent in light of its envisaged use for the upcoming 5G/6G networks and beyond. As 6G is anticipated to leverage a broad spectrum, including both sub-6 GHz and mmWave bands (30–300 GHz), concerns arise regarding increased human exposure to non-ionizing radiation (NIR). This work highlights the advantages of deploying 6G in the mmWave band, focusing on evaluating human body exposure to NIR interactions. Additionally, this research aims to address mmWave NIR exposure by introducing a Distributed Base Station (DBS) network. Utilizing low-power remote antennas to extend network coverage, the DBS architecture seeks to effectively minimize NIR’s impact without compromising overall network performance. The findings underscore the significant potential of the DBS approach in mitigating NIR-related concerns associated with mmWave utilization in 6G networks. Full article
(This article belongs to the Special Issue Trends and Prospects in 6G Wireless Communication)
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