Vehicle-to-Everything (V2X) Communication Networks 2024–2025

Dear Colleagues,

Vehicle-to-everything (V2X) communication networks are pivotal in advancing modern transportation systems, where vehicles can communicate with each other (V2V), infrastructure (V2I), pedestrians (V2P), and networks (V2N). This technology has the potential to improve road safety and traffic efficiency. However, various challenges still exist in implementing effective V2X networks, including, but not limited to, fault-resistant communication networks for reliable information distribution, minimizing delays and data loss, and ensuring user security and privacy in diverse V2X environments.

Recent advancements in edge computing, 5G communication technologies, reinforcement learning, and federated learning provide promising solutions to these challenges. These technologies facilitate ultra-reliable and low-latency communication, intelligent network collaboration, and optimized resource allocation in V2X networks. By integrating these innovations, V2X communications not only support safer and more efficient transportation systems but also facilitate the development of autonomous driving, smart industries, vehicular networking, and space technology. The ongoing research and development of V2X promise to revolutionize the transportation landscape by addressing existing limitations and enabling new innovative applications to be realized in transportation systems. 

This Special Issue focuses on a wide range of research topics in the field of V2X communications, including, but not limited to, the following:

• Ultra-reliable and low-latency communications (URLLC) for V2X communications.
• New communication technologies based on 5G NR and other applications for V2X communications.
• Modeling of routing and MAC protocol for V2X communications.
• Federated learning-based security and privacy issues for V2X communications.
• Machine learning-based resource management for V2X communications.
• Reinforcement learning for V2X communications.
• Artificial intelligence-assisted data collection and analysis for V2X communications.
• Collaborative communication and self-organization technologies for V2X communications.
• Sensing for V2X communications.
• Positioning for V2X communications.
• Cloud computing and edge computing for V2X communications.
• Emerging applications for V2X communications.

We are pleased to invite researchers and professionals to submit original papers to this Special Issue, and look forward to your contributions. 

Dr. Qiong Wu
Dr. Qiang Fan
Guest Editors

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