Feature articles - January 2026
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 our journal’s 2025 Best Award Paper, 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; Jaya Rao
Published in volume 1, IEEE Open Journal of Vehicular Technology
Read on IEEE Xplore
Summary contributed by Prof. Xuemin Shen (author):
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.
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; Yi Wang
Published in volume 6, IEEE Open Journal of Vehicular Technology
Read on IEEE Xplore
Summary contributed by Giambattista Gruosso (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.
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About IEEE Open Journal of Vehicular Technology (OJVT)
The IEEE Open Journal of Vehicular Technology covers the theoretical, experimental and operational aspects of electrical and electronics engineering in mobile radio, motor vehicles and land transportation. (a) Mobile radio shall include all terrestrial mobile services. (b) Motor vehicles shall include the components and systems and motive power for propulsion and auxiliary functions. (c) Land transportation shall include the components and systems used in both automated and non-automated facets of ground transport technology.