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IEEE Vehicular Technology Magazine

Connecting the Mobile World

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June 2026, VOL. 21 NO. 2

FEATURES

From Passive Mirrors to Active Agents: Holonic Digital Twins for Physical Artificial Intelligence Over Networks

By Christo Kurisummoottil Thomas, Omar Hashash, Walid Saad

Fed-KAN: Federated Learning With Kolmogorov–Arnold Networks for Traffic Prediction: KAN-Based Learning

By Engin Zeydan, Cristian J. Vaca-Rubio, Luis Blanco Botana, Roberto Pereira, Màrius Caus López, Kapal Dev

Digital Twin-Oriented Integrated Terrestrial and Nonterrestrial Networks: New Perspectives, Challenges, and Enabling Technologies

By Minghui Dai, Yixuan Wang, Shan Chang, Ling Lyu, Shahid Mumtaz, Jiaming Pei

On-Demand Vehicular Service Deployment in 6G: A Collaborative Large-Small LM Architecture

By Amine Kidane Ghebreziabiher, Gordon Owusu Boateng, Daniel Ayepah-Mensah, Rabeb Mizouni, Azzam Mourad, Hadi Otrok, Jamal Bentahar, Sami Muhaidat

Channel Characterization and Emulation for Nonterrestrial Network Communications: Challenges and Solutions

By Hao Sun, Xiang Zhang, Yani Chi, Wei Fan

Artificial Intelligence-Programmable Wireless Connectivity: Challenges and Research Directions Toward Interactive and Immersive Industry

By Haris Gačanin

Distributed and Crowdsourced Artificial Intelligence: Enabling a Robust and Scalable 6G Network Architecture

By John S. Vardakas, Golshan Famitafreshi, Christoforos Christoforou, Iacovos Ioannou, Antonella Molinaro, Chaouki Ben Issaid, Juan Jose Vegas Olmos, Thanasis Charemis, Marius Iordache, Marios Sophocleous, Giacomo Bernini, Christos Verikoukis

Quantum Machine Learning-Based 6G Network: Enabling Adaptive Communication and Model Aggregation

By Wenjing Xiao, Jiatai Yan, Chenglong Shi, Shixin Chen, Miaojiang Chen, Min Chen, Saif Al-Kuwar, Ahmed Farouk

Trustworthy Semantic Communication for Vehicular Networks: Challenges and Solutions

By Yanghe Pan, Yuntao Wang, Shaolong Guo, Chengyu Yin, Ruidong Li, Zhou Su, Yuan Wu

Adaptive Contextual Caching for Mobile-Edge Large Language Model Service: A Proposed Framework

By Guangyuan Liu, Yinqiu Liu, Jiacheng Wang, Hongyang Du, Dusit Niyato, Jiawen Kang, Zehui Xiong

Columns/Departments

Through the Looking Glass [From the Editor]

Beyond GNSS: Cellular/NTN Positioning, LEO-PNT, and AI for Resilient Wireless Localization [Mobile Radio]

Land Transportation News [Transportation Systems]

6G Architectures and Enabling Intelligence for Next-Generation Connectivity [From the Guest Editors]

Autonomy Is Dead. Long Live Cooperation! [Connected and Automated Vehicles]

Electrifying Off-Road Machinery: The Rise of Intelligent Heavy Equipment [Automotive Electronics]

IEEE Vehicular Technology Society Standards Development: An Update After the IEEE Standards Association Standards Board March 2026 Meeting [Standards]

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About the Magazine

IEEE Vehicular Technology Magazine publishes peer-reviewed articles covering advances in areas of interest to the IEEE Vehicular Technology Society. The magazine focuses on intra-vehicular components, systems and applications. It includes tutorials, surveys, coverage of emerging technology, and serves as a means for the IEEE VTS governing body to communicate with its membership. Mobile radio technologies are appropriate to terrestrial mobile vehicular services. Motor vehicles include the components, systems and auxiliary functions. Land transportation includes the components and systems used in both automated and non-automated facets of ground transport technology, especially as they relate to vehicular systems.

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IEEE Vehicular Technology Magazine is published quarterly by the Institute of Electrical and Electronics Engineers, Inc. Headquarters: 3 Park Avenue, 17th Floor, New York, NY 10016-5997 USA.

The magazine is archived in IEEE Xplore, and articles from all issues are available for download.

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