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Future Prospects of Wireless Transmission Based on Engineering Electrical Electronic...
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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 August 2025 | Viewed by 10804

Special Issue Editors

Dr. Muhammad Usman Hadi

E-Mail Website
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
Dr. Muhammad Ikram Ashraf

E-Mail Website
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

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

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

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Published Papers (6 papers)

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Research

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17 pages, 4137 KiB  
Article
Research on an Algorithm for High-Speed Train Positioning and Speed Measurement Based on Orthogonal Time Frequency Space Modulation and Integrated Sensing and Communication
by Jianli Xie, Yong Hao, Cuiran Li and Huiqin Wang
Electronics 2024, 13(22), 4397; https://doi.org/10.3390/electronics13224397 - 9 Nov 2024
Viewed by 1189
Abstract
The Doppler effect caused by the rapid movement of high-speed rail services has a great impact on the accuracy of train positioning and speed measurement. Existing train positioning algorithms require a large number of trackside equipment and sensors, resulting in high construction and [...] Read more.
The Doppler effect caused by the rapid movement of high-speed rail services has a great impact on the accuracy of train positioning and speed measurement. Existing train positioning algorithms require a large number of trackside equipment and sensors, resulting in high construction and maintenance costs. Aiming to solve the above two problems, this article proposes a train positioning algorithm based on orthogonal time–frequency space (OTFS) modulation and integrated sensing and communication (ISAC). Firstly, based on the OTFS, the positioning and speed measurement architecture of communication awareness integration is constructed. Secondly, a two-stage estimation (TSE) algorithm is proposed to estimate the delay Doppler parameters of HST. In the first stage, a low-complexity coarse grid search is used, and in the second stage, a refined off-grid search is used to obtain the delay Doppler parameters. Then, the time difference of arrival/frequency difference of arrival (TDOA/FDOA) algorithm based on multiple base stations is used to locate the target, the weighted least square method is used to calculate the location, and the Cramér–Rao lower bound (CRLB) for positioning and speed measurement is derived. The simulation results demonstrate that, compared to GNSS/INS and OFDM radars, the algorithm exhibits enhanced positioning and speed measurement accuracy. Full article
(This article belongs to the Special Issue Future Prospects of Wireless Transmission Based on Engineering Electrical Electronic and Telecommunications)
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17 pages, 1579 KiB  
Article
AIDETECT2: A Novel AI-Driven Signal Detection Approach for beyond 5G and 6G Wireless Networks
by Bibin Babu, Muhammad Yunis Daha, Muhammad Ikram Ashraf, Kiran Khurshid and Muhammad Usman Hadi
Electronics 2024, 13(19), 3821; https://doi.org/10.3390/electronics13193821 - 27 Sep 2024
Cited by 1 | Viewed by 1285
Abstract
Artificial intelligence (AI) is revolutionizing multiple-input-multiple-output (MIMO) technology, making it a promising contender for the coming sixth-generation (6G) and beyond-fifth-generation (B5G) networks. However, the detection process in MIMO systems is highly complex and computationally demanding. To address this challenge, this paper presents an [...] Read more.
Artificial intelligence (AI) is revolutionizing multiple-input-multiple-output (MIMO) technology, making it a promising contender for the coming sixth-generation (6G) and beyond-fifth-generation (B5G) networks. However, the detection process in MIMO systems is highly complex and computationally demanding. To address this challenge, this paper presents an optimized AI-based signal detection method known as AIDETECT-2 which is based on feed forward neural network (FFNN) for MIMO systems. The proposed AIDETECT-2 network model demonstrates superior efficiency in signal detection in comparison with conventional and AI-based MIMO detection methods, particularly in terms of symbol error rate (SER) at various signal-to-noise ratios (SNR). This paper thoroughly explores various signal detection aspects using FFNN, including the design of system architecture, preparation of data, training processes of the network model, and performance evaluation. Simulation results show that the proposed model demonstrates a significant performance improvement ranging between 13.75% to 99.995% better SER compared to the best conventional method and also achieved between 56.52% to 97.69 better SER compared to benchmark AI-based MIMO detectors at 20 dB SNR for given MIMO scenarios respectively. It also presented the computational complexity analysis of different conventional and AI-based MIMO detectors. We believe that this optimized AI-based network model can serve as a comprehensive guide for deploying deep-learning (DL) neural networks for signal detection in the forthcoming 6G wireless networks. Full article
(This article belongs to the Special Issue Future Prospects of Wireless Transmission Based on Engineering Electrical Electronic and Telecommunications)
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17 pages, 4713 KiB  
Article
High-Speed Rail Multiple-Input–Multiple-Output Channel Model Based on Reconfigurable Intelligent Surface System
by Qiong Xu, Jianli Xie and Zepeng Zhang
Electronics 2024, 13(14), 2868; https://doi.org/10.3390/electronics13142868 - 21 Jul 2024
Viewed by 1120
Abstract
This paper presents a geometry-based stochastic model (GBSM) for a reconfigurable intelligent surface (RIS)-assisted multiple-input–multiple-output (MIMO) system tailored to high-speed rail environments, addressing energy leakage at space lattice points caused by the time-dependent reception direction and differing antenna array resolutions. Initially, this study [...] Read more.
This paper presents a geometry-based stochastic model (GBSM) for a reconfigurable intelligent surface (RIS)-assisted multiple-input–multiple-output (MIMO) system tailored to high-speed rail environments, addressing energy leakage at space lattice points caused by the time-dependent reception direction and differing antenna array resolutions. Initially, this study explores the spatial domain feature map and spreading antenna lobe characteristics from various RIS array configurations to reshape the polarization distribution and facilitate a virtual antenna array. Subsequently, the time-dependent reception direction and position are derived by integrating the dynamics of train operations. Finally, the received signal is aligned with the polarization direction to assess the signal reception efficiency and finalize the model output. Research findings indicate that the number of RIS elements, spacing between RIS elements, and mobile relay (MR) movement characteristics significantly influence the performance of the system. Compared to existing models, the proposed model proficiently captures the effects of time-dependent receiver angle properties and RIS array configuration. Full article
(This article belongs to the Special Issue Future Prospects of Wireless Transmission Based on Engineering Electrical Electronic and Telecommunications)
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21 pages, 6185 KiB  
Article
Inkjet-Printed Reflectarray Antenna Integrating Feed and Aperture on a Flexible Substrate Using Origami Techniques
by Yi-Xin Lin, Kuan-Yu Ko, Fei-Peng Lai and Yen-Sheng Chen
Electronics 2024, 13(13), 2505; https://doi.org/10.3390/electronics13132505 - 26 Jun 2024
Viewed by 1567
Abstract
This paper presents an innovative method for fabricating reflectarray antennas using inkjet printing technology on flexible substrates, markedly enhancing integration and manufacturability compared to traditional PCB methods. The technique employs inkjet printing to deposit conductive inks directly onto a flexible polyethylene naphthalate (PEN) [...] Read more.
This paper presents an innovative method for fabricating reflectarray antennas using inkjet printing technology on flexible substrates, markedly enhancing integration and manufacturability compared to traditional PCB methods. The technique employs inkjet printing to deposit conductive inks directly onto a flexible polyethylene naphthalate (PEN) substrate, seamlessly integrating feed and reflectarray components without complex assembly processes. This streamlined approach not only reduces manufacturing complexity and costs but also improves mechanical flexibility, making it ideal for applications requiring deployable antennas. The design process includes an origami-inspired folding of the substrate to achieve the desired three-dimensional antenna structures, optimizing the focal length to dimension ratio (F/D) to ensure maximum efficiency and performance. The feed and the reflectarray geometry are optimized for an F/D of 0.6, which achieves high gain and aperture efficiency, demonstrated through detailed simulations and measurements. For normal incidence, the configuration achieves a peak gain of 9.3 dBi and 48% radiation efficiency at 10 GHz; for oblique incidence, it achieves 7.3 dBi and 40% efficiency. The study underscores the significant potential of inkjet-printed antennas in terms of cost-efficiency, precision, and versatility, paving the way for new advancements in antenna technology with a substantial impact on future communication systems. Full article
(This article belongs to the Special Issue Future Prospects of Wireless Transmission Based on Engineering Electrical Electronic and Telecommunications)
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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
Cited by 1 | Viewed by 1209
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
(This article belongs to the Special Issue Future Prospects of Wireless Transmission Based on Engineering Electrical Electronic and Telecommunications)
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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 4 | Viewed by 3396
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
(This article belongs to the Special Issue Future Prospects of Wireless Transmission Based on Engineering Electrical Electronic and Telecommunications)
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