Future Prospects of Wireless Transmission Based on Engineering Electrical Electronic and Telecommunications

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

Deadline for manuscript submissions: 15 July 2024 | Viewed by 2586

Special Issue Editors


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Guest Editor
School of Engineering, Ulster University, Belfast BT15 1AP, UK
Interests: microwave Photonics; wireless communication; Internet of Things 4.0
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Nokia, Espoo 02610, Finland
Interests: AI/ML; positioning; industrial; URLLC; V2X; small cells

Special Issue Information

Dear Colleagues,

The rapid advancement of wireless transmission technologies has revolutionized various aspects of modern life, ranging from communication and information exchange to industrial automation and healthcare. This Special Issue aims to explore the current state-of-the-art and future prospects of wireless transmission systems within the domains of electrical, electronic, and telecommunications engineering, specifically in relation to 5G and 6G networks. By examining the latest developments and emerging trends in wireless technologies, this Special Issue seeks to shed light on their potential future applications, challenges, and opportunities in today's world. It also aims to provide a comprehensive overview of the existing wireless transmission technologies, including, but not limited to, Wi-Fi, cellular networks, satellite communication, and wireless sensor networks. By analyzing their strengths, limitations, and the ongoing research efforts surrounding them, this Special Issue aims to gauge the current state-of-the-art in wireless transmission systems.

Exploring Emerging Trends: With the constant evolution of wireless communication, new trends and paradigms are emerging. This Special Issue aims to explore promising concepts with conventional and AI such as 5G and beyond, Internet of Things (IoT), edge computing, massive MIMO (Multiple-Input Multiple-Output) detection, millimeter-wave communication, and visible light communication (VLC). By examining these emerging trends, we seek to identify their potential impact on wireless transmission and their implications in various domains.

Applications and Use Cases: Wireless transmission has permeated numerous sectors, including healthcare, transportation, smart cities, agriculture, and entertainment. This Special Issue aims to delve into the potential applications and use cases of wireless transmission technologies in these domains. By highlighting real-world scenarios and case studies, we aim to showcase the transformative power of wireless transmission in enabling innovative solutions and enhancing efficiency.

Addressing Challenges and Opportunities: As wireless transmission technologies continue to evolve, they face various challenges such as spectrum scarcity, security vulnerabilities, energy efficiency, and interoperability. This Special Issue aims to identify these challenges and explore potential solutions. Additionally, it seeks to highlight the opportunities presented by emerging technologies, policies, and standards, such as the use of artificial intelligence and machine learning in wireless transmission.

Future Perspectives and Roadmap: Finally, this Special Issue aims to provide insights into the future prospects of wireless transmission. By considering ongoing research and development efforts, industry trends, and regulatory frameworks, this issue seeks to outline a roadmap for the advancement of wireless transmission technologies. It aims to identify key research directions, potential collaborations, and policy recommendations to shape the future landscape of wireless communication.

Dr. Muhammad Usman Hadi
Dr. Muhammad Ikram Ashraf
Guest Editors

Manuscript Submission Information

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Keywords

  • trends in 5G and beyond
  • wireless communication
  • massive MIMO
  • Internet of Things
  • URLLC

Published Papers (2 papers)

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Research

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17 pages, 831 KiB  
Article
LEO-Assisted Aerial Deployment in Post-Disaster Scenarios Using a Combinatorial Bandit and Genetic Algorithmic Approach
by Ehab Mahmoud Mohamed, Sherief Hashima, Kohei Hatano and Haithem S. Khallaf
Electronics 2023, 12(24), 4964; https://doi.org/10.3390/electronics12244964 - 11 Dec 2023
Viewed by 617
Abstract
This paper proposes integrating low earth orbit satellites (LEO-Sats) and multiple aerials to provide rescue services in post-disaster areas. Aerials are distributed to provide wireless connectivity to survivors and rescue workers, while LEO-Sat exhibits backhaul linkages to aerials to connect them with the [...] Read more.
This paper proposes integrating low earth orbit satellites (LEO-Sats) and multiple aerials to provide rescue services in post-disaster areas. Aerials are distributed to provide wireless connectivity to survivors and rescue workers, while LEO-Sat exhibits backhaul linkages to aerials to connect them with the closest surviving ground base station (GBS). In this context, the aerials’ deployment should maximize the total system rate while guaranteeing fairness among the served post-disaster regions within aerials’ limited battery budget and LEO-Sat’s limited bandwidth resources. Therefore, a combinatorial bandit model with arms fairness and budget constraints (CB-FBC) is proposed to address the aerials’ deployment while maintaining fairness in covering post-disaster regions within the aerials’ limited battery resources. Additionally, the aerials’ transmit communication powers and LEO-Sat’s bandwidth resources are optimized according to traffic requests of LEO-aerial linkages using a genetic algorithm (GA). By means of numerical analysis, the proposed GA shows superior performance over other naïve benchmarks. Full article
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Review

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31 pages, 8161 KiB  
Review
The Current Progress and Future Prospects of Path Loss Model for Terrestrial Radio Propagation
by Jian Wang, Yulong Hao and Cheng Yang
Electronics 2023, 12(24), 4959; https://doi.org/10.3390/electronics12244959 - 10 Dec 2023
Cited by 1 | Viewed by 1640
Abstract
The radio channel model is a major factor supporting the whole life cycle of the terrestrial radio system, including the demonstration, design, validation, operation, and so on. To improve the spectrum sharing and spectral efficiency in terrestrial radio services, we analyze three types [...] Read more.
The radio channel model is a major factor supporting the whole life cycle of the terrestrial radio system, including the demonstration, design, validation, operation, and so on. To improve the spectrum sharing and spectral efficiency in terrestrial radio services, we analyze three types of path loss models in detail: deterministic, empirical, and semi-empirical models, to meet the requirements of path loss modeling for supporting traditional band expansion and reuse. Then, we conduct a comparative analysis based on the characteristics of the current models. Furthermore, a preview of the future terrestrial path loss modeling methods is provided, including intelligent modeling processes and multi-model hybridization methods. Finally, we look forward to the potential technology that can be used in future wireless communication, such as terahertz communication, reconfigurable intelligent surface technology, and integrated communication and sensing technology. The above research can provide a reference for the development of terrestrial radio channel modeling, promoting the technologies of terrestrial channel modeling. We hope this paper will stimulate more interest in modeling terrestrial radio channels. Full article
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