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Electronics
Special Issues
Next-Generation Industrial Wireless Communication
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Next-Generation Industrial 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: 15 July 2025 | Viewed by 803

Special Issue Editor

Dr. Xiuzhen Guo

E-Mail Website
Guest Editor
College of Control Science and Engineering, Zhejiang University, Hangzhou 310027, China
Interests: Industrial Internet of Things/internet; wireless networks; intelligent perception; mobile computing

Special Issue Information

Dear Colleagues,

The advent of Industry 4.0 has sparked a revolution in industrial operations, emphasizing automation, real-time data processing, and enhanced connectivity. Wireless communication technologies are pivotal in this transformation, providing the backbone for seamless machine-to-machine (M2M) communication, real-time monitoring, and control systems. The transition to next-generation wireless technologies, including 5G, 6G, and beyond, promises to address the growing demands for higher data rates, lower latency, and increased reliability in industrial environments.

This Special Issue on "Next-Generation Industrial Wireless Communication" seeks to gather cutting-edge research and developments that push the boundaries of wireless communication technologies tailored to industrial applications. The focus will be on innovative solutions that enhance performance, reliability, and security in harsh industrial environments.

Scope and Topics:

This Special Issue invites original research articles, comprehensive reviews, and case studies on topics including, but not limited to, the following:

Advanced Wireless Technologies for Industry 4.0:

  • 5G and 6G applications in industrial settings;
  • Time sensitive network (TSN);
  • Wireless sensor networks (WSNs) and their integration with next-gen networks;
  • Backscatter communication and battery-free networks.
Network Architecture and Protocols:
  • New protocols and architectures for industrial wireless networks;
  • Software-defined networking (SDN) for industrial applications;
  • Edge computing and its impact on industrial wireless communication;
  • Industrial Internet of Things (IIoT) and network slicing.
Security and Reliability:
  • Cybersecurity challenges in industrial wireless networks;
  • Secure and reliable communication protocols;
  • Fault-tolerant and resilient network design;
  • Privacy-preserving technologies for industrial communication.
Applications and Case Studies:
  • Wireless communication in smart factories and digital twins;
  • Real-time monitoring and predictive maintenance using wireless networks;
  • AI-driven optimization of wireless communication in industrial settings;
  • Case studies on the deployment of next-gen wireless technologies in industry.
Emerging Trends and Future Directions:
  • Quantum communication for industrial networks;
  • Convergence of wireless communication with AI and machine learning;
  • Energy-efficient wireless communication technologies for industry;

Dr. Xiuzhen Guo
Guest Editor

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

  • Industrial Internet of Things (IIoT)
  • wireless networking
  • next-generation communication

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Published Papers (2 papers)

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12 pages, 642 KiB  
Article
Fast-Fading Modeling in Wireless Industrial Communications
by Mohammad Hossein Zadeh, Marina Barbiroli and Franco Fuschini
Electronics 2025, 14(7), 1378; https://doi.org/10.3390/electronics14071378 - 29 Mar 2025
Viewed by 311
Abstract
Wireless channel properties in industrial environments are significantly impacted by heavy machinery, leading to complex multipath propagation and strong blockage effects. Conventional empirical models employed in factory settings are constrained by their limited flexibility and applicability to diverse industrial conditions. In this study, [...] Read more.
Wireless channel properties in industrial environments are significantly impacted by heavy machinery, leading to complex multipath propagation and strong blockage effects. Conventional empirical models employed in factory settings are constrained by their limited flexibility and applicability to diverse industrial conditions. In this study, this limitation is tackled in a twofold way. First, machine learning algorithms, including linear regression and a Multi-Layer Perceptron, are employed to capture the complex relationships between fast-fading effects and key features of the industrial layout. Second, a flexible empirical formula is proposed to model fast-fading phenomena with enhanced adaptability, providing a comprehensive solution for diverse industrial contexts. The results align with previous studies and provide some trends in fast-fading sensitivity to different industrial features. The machine learning model demonstrates superior accuracy compared to the empirical formula, which nevertheless still achieves reasonable performance despite its simplicity. Full article
(This article belongs to the Special Issue Next-Generation Industrial Wireless Communication)
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Review

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51 pages, 2715 KiB  
Review
Interference Mitigation Strategies in Beyond 5G Wireless Systems: A Review
by Osamah Thamer Hassan Alzubaidi, Salah Alheejawi, Mhd Nour Hindia, Kaharudin Dimyati and Kamarul Ariffin Noordin
Electronics 2025, 14(11), 2237; https://doi.org/10.3390/electronics14112237 - 30 May 2025
Viewed by 205
Abstract
Over the past few years, wireless communication has grown dramatically, and the consumer demand for wireless services has seen a significant jump. One of the main challenges for beyond fifth generation (B5G) networks is the increased capacity of the network. The continuously increasing [...] Read more.
Over the past few years, wireless communication has grown dramatically, and the consumer demand for wireless services has seen a significant jump. One of the main challenges for beyond fifth generation (B5G) networks is the increased capacity of the network. The continuously increasing number of network users and the limited radio spectrum in wireless technologies have led to severe congestion in communication channels. This issue leads to traffic congestion at base stations and introduces interference in the network, thereby degrading system capability and quality of service. Interference reduction has thus become a major design challenge in wireless communication systems. This review paper comprehensively explores interference management (IM) strategies in B5G networks. We critically analyze and summarize existing research on interference issues related to device-to-device communication, heterogeneous networks, inter-cell interference, and artificial intelligence (AI)-based frameworks. The paper reviews a wide range of methodologies, highlights the strengths and limitations of state-of-the-art approaches, and discusses standardized techniques such as power control, resource allocation, spectrum separation and mode selection, carrier aggregation, load balancing and cell range expansion, enhanced inter-cell interference coordination, coordinated scheduling and beamforming, coordinated multipoint, and AI-based interference prediction methods. A structured taxonomy and comparative summary are introduced to help categorize these techniques. Several related works based on their methodologies, shortcomings, and future directions have been critically reviewed. In addition, the paper identifies open research challenges and outlines key trends that are shaping future B5G IM systems. A comparative visualization is also provided to highlight dominant and underexplored optimization objectives across IM domains. This review serves as a valuable reference for researchers aiming to understand and evaluate current and emerging solutions for interference mitigation in B5G wireless systems. Full article
(This article belongs to the Special Issue Next-Generation Industrial Wireless Communication)
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