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Our journal welcomes not only original high-quality papers covering the theoretical, experimental and operational aspects of electrical and electronics engineering in mobile radio, motor vehicles and land transportation, but also industry-focused publication focusing on research findings and suggesting ideas that may be useful to those conducting similar research.
Below, we highlight two featured peer-reviewed articles:
Our first monthly feature paper is the OJVT’s 2025 Best Paper Award, which is written by academic and industry authors from University of Waterloo and Huawei Technologies Canada Co., Ltd., explore the evolution of wireless networks beyond 5G.
Complementing this award-winning paper is an invited paper co-authored by researchers and industry practitioners from AUMOVIO GmbH and University of Lübeck, which proposed a set of practical requirements and a taxonomy specifically tailored for evaluating defense mechanisms against evasion attacks within the automotive context, emphasizing industry applicability.
We’ve provided short summaries of these feature articles, written in accessible language that we hope will make your reading experience enjoyable.
AI-Assisted Network-Slicing Based Next-Generation Wireless Networks
Xuemin Shen, Jie Gao, Wen Wu, Kangjia Lyu, Mushu Li, Weihua Zhuang, Xu Li, and Jaya Rao
Summary by Xuemin Shen: This study is among the earliest initiatives to explore the evolution of wireless networks beyond 5G. Recognizing the increasing network heterogeneity and dynamics, as well as the growing service diversity and stringency of the future networks, this paper outlines a transformative paradigm for empowering next-generation wireless networks: integrating artificial intelligence (AI) and network slicing.
The authors present a novel functional architecture for AI-assisted slice-based wireless networks, highlighting the interplays among various stages and components of network management within the architecture. Building on this architecture, they further introduce AI-driven solutions in three key areas: radio access network (RAN) slicing, automated radio access technology (RAT) selection, and mobile edge caching. For each area, they review existing approaches, identify open research challenges, and outline promising directions enabled by the synergy between AI and network slicing. Overall, this paper provides a forward-looking roadmap for flexible, scalable, and intelligent wireless networks beyond 5G.
Full article: IEEE Open Journal of Vehicular Technology, Volume 1
Defenses Against Evasion Attacks in the Eyes of Automotive Industry: Review from a Practical Perspective
Aidmar Wainakh, Gesina Schwalbe, Antje Elisabeth Loyal, Rujiao Yan, Tanmay Chakraborty, Dilara Fietta, and Yi Wang
Summary by Aidmar Wainakh: Self-driving cars rely heavily on AI systems to understand and recognize what’s happening around them. These systems can be tricked if someone changes the environment in a way that confuses the AI, causing it to see things incorrectly. This can put the safety and reliability of autonomous vehicles at risk. Many defense methods have been suggested to protect against such attacks.
However, it’s hard to pick the right one for a specific situation because some technical aspects of these methods haven’t been fully evaluated. In our work, we propose a set of key requirements that defense methods should meet for the automotive industry. We review these methods against those requirements and introduce a practical approach to help choose the most suitable defense. Our methodology is based on an in-depth review of more than 75 existing methods.
Full article: IEEE Open Journal of Vehicular Technology, Volume 6
Call for Papers—Special Issue on Vehicular Digital Twins: Architectures, Communication Protocols, and Applications for Internet of Vehicles Systems
With the convergence of digital modelling, 6G vehicular communication, and AI-driven autonomy, Vehicular Digital Twins (VDTs) are set to redefine how vehicles interact, adapt, and evolve in real-time. This special issue solicits high-quality contributions in systems, protocols, simulations, and real-world deployment of VDTs, with emphasis on vehicular technologies and secure communications.
We invite original contributions on, but not limited to:
- VDT architecture and multi-layer modelling
- Communication protocols (5G/6G, C-V2X) for real-time VDTs
- AI and ML for adaptive twin control
- Cybersecurity, quantum-safe VDT communication
- Blockchain and trust management
- Edge/cloud integration
- Use cases (e.g., fleet management, predictive maintenance, autonomous driving)
Submission Deadlines
Manuscript Due Date: 1 February 2026
Editorial decision – first round of review: 1 March 2026
Deadline for resubmission for manuscripts with Reject & Resubmit editorial decision: 1 May 2026
Final editorial decision: 1 June 2026
Tentative Publication Date: July/August 2026
Submission Guidelines
Prospective authors should: review the author instructions and paper submission instructions. Initial submissions may have up to 14 pages.
Authors should submit manuscripts through the IEEE Author Portal.
Lead Guest Editor
Sunil Prajapat, Gachon University, Republic of Korea
Guest Editors
Joel Rodrigues, Federal University of Piauí, Brazil
Jianwei Niu, Beihang University, China
Ahmed Farouk Metwaly, Hamad Bin Khalifa University, Qatar
About the IEEE Open Journal of Vehicular Technology (OJVT)
The IEEE OJVT covers the theoretical, experimental and operational aspects of electrical and electronics engineering in mobile radio, motor vehicles and land transportation. A brief summary of these fields of interest are as follows:
- Mobile radio shall include all terrestrial mobile services
- Motor vehicles shall include the components and systems and motive power for propulsion and auxiliary functions
- Land transportation shall include the components and systems used in both automated and non-automated facets of ground transport technology
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