Next-Generation Wireless Networks: Advances in 5G, 6G, and Broadband Communication

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Networks".

Deadline for manuscript submissions: 15 April 2026 | Viewed by 345

Special Issue Editors


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Guest Editor
State Key Laboratory of Advanced Rail Autonomous Operation, School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China
Interests: broadband mobile communication system and dedicated mobile communication; communication engineering; artificial intelligence
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
School of Computer Science and Engineering, Sun Yat-Sen University, Guangzhou 510006, China
Interests: edge computing; federated learning and multimedia system

Special Issue Information

Dear Colleagues,

5G technology is transforming industries worldwide, while 6G research has already begun with the vision of building an intelligent network that integrates communication, sensing, computing, and artificial intelligence. This vision aims for seamless space–air–ground–sea coverage, creating new challenges for network infrastructure, architectures, and computing capabilities.

This Special Issue highlights the latest advances in 5G, 6G, and broadband communications, spanning from theoretical foundations and system design to practical applications. Key topics include digital twins, integrated space–air–ground networks, terahertz and visible light communications, semantic communications, AI-driven wireless systems, intrinsic security and zero-trust architectures, reconfigurable intelligent surfaces, and 5G/6G-enabled vertical industries.

In this Special Issue, high-quality, original research articles and reviews are welcome. Research areas may include the following:

  • Digital twins;
  • Space–air–ground–sea integrated network;
  • Intelligent management toward B5G and 6G;
  • Semantic communications;
  • Terahertz and visible light communications;
  • Physical-layer security, intrinsic security, and zero-trust architectures;
  • Integrated communications, sensing, and computing;
  • Reconfigurable antennas, reconfigurable intelligent surface (RIS), and flexible antennas;
  • 5G/6G-enabled vertical industries;
  • Artificial intelligence in next-generation wireless communications.

We look forward to receiving your contributions.

Prof. Dr. Hao Wu
Dr. Miao Hu
Guest Editors

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Keywords

  • digital twins
  • space–air–ground–sea integrated network
  • intelligent management toward B5G and 6G
  • semantic communications
  • terahertz and visible light communications
  • physical-layer security, intrinsic security, and zero-trust architectures
  • integrated communications, sensing, and computing
  • reconfigurable antennas, reconfigurable intelligent surface (RIS), and flexible antennas
  • 5G/6G-enabled vertical industries
  • artificial intelligence in next-generation wireless communications

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Published Papers (1 paper)

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Research

27 pages, 2804 KB  
Article
Intelligent Cooperative Perception Technology for Vehicles and Experiments Based on V2V/V2I Semantic Communication
by Cheng Li, Huiping Liu, Qiqi Jia, Lei Xiong and Hao Wu
Electronics 2025, 14(24), 4969; https://doi.org/10.3390/electronics14244969 - 18 Dec 2025
Viewed by 179
Abstract
In recent years, intelligent driving has attracted more and more attention due to its potential to revolutionize transportation safety and efficiency, emerging as a disruptive technology that reshapes the future landscape of transportation. Environmental perception serves as the primary and fundamental cornerstone of [...] Read more.
In recent years, intelligent driving has attracted more and more attention due to its potential to revolutionize transportation safety and efficiency, emerging as a disruptive technology that reshapes the future landscape of transportation. Environmental perception serves as the primary and fundamental cornerstone of intelligent driving systems. To address the intrinsic blind spots in environmental perception, this paper presents a vehicle collaborative perception approach based on Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) semantic communication. Specifically, a Transformer-based semantic segmentation technique is proposed for application to images acquired from surrounding vehicles and ground-based cameras. Subsequently, the generated semantic segmentation maps are transmitted via V2V/V2I communication. In the receiver, a semantic-guided image reconstruction technique based on Generative Adversarial Networks (GANs) is developed to generate images with high realism. The generated Image images can be further fused with locally perceived data, facilitating intelligent collaborative perception. This method achieves effective elimination of blind spots. Furthermore, as only semantic segmentation maps—with a data size significantly smaller than that of raw images—are transmitted instead of the latter, it exhibits excellent adaptability to the dynamically time-varying characteristics of V2V/V2I channels. Even in poor channel condition, the proposed method maintains high reliability and real-time performance. Full article
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