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Welcome to the October 2025 issue of VTS Mobile World – your IEEE Vehicular Technology Society newsletter.
This edition features news about the launch of IEEE Career Fair, enlightening articles contributed by experts, gathered from the Connected and Automated Vehicles, Transportation Systems, and Mobile Radio columns in the September 2025 edition of the IEEE Vehicular Technology Magazine. It also includes recently published papers from the IEEE Transactions on Vehicular Technology and the IEEE Open Journal of Vehicular Technology, providing valuable insights.
As always, I am always available to hear your feedback; just send me a note at Richard.Yu@ieee.org.
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| Upcoming Events |
| IEEE USA Virtual Career Fair |
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IEEE has launched IEEE Career Fair, and will host its inaugural event for IEEE Regions 1-6 (USA-wide) on 30 October 2025, bringing together students, young professionals, and members with employers from across the United States. Similar fairs will occur in other regions in the coming months.
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| Connected and Automated Vehicles |
| Robotaxis Will Always Need People |
| Katrin Sjoberg |
Tesla’s launch of a robotaxi service in Austin in June 2025 has received a great deal of attention.
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| Transportation Systems |
| AI in Rail Transportation |
| Yousef Kimiagar |
The rail industry has started taking advantage of artificial intelligence (AI) potentials, emerging technologies, and a digital approach.
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| Mobile Radio |
| Future 6G Standards |
| Bang Chul Jung |
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Initial 6G standards to be produced by the Third Generation Partnership Project (3GPP) are expected to be ready by the end of this decade, paving the way for the first 6G deployments in the early 2030s.
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| From the IEEE Open Journal of Vehicular Technology |
| Recent Articles, and the New Special Issue |
| Edward Au, IEEE Open Journal of Vehicular Technology Editor-in-Chief |
This month, the IEEE OJVT features two articles: one on automated vehicle marshalling (AVM), and another on the integration of software-defined radio (SDR) technology in UAV-based systems.
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| From the IEEE Transactions on Vehicular Technology |
| Integrated Sensing, Communication, and Computing for Energy Efficient RIS-aided Wireless Federated Learning |
| Mohammad Mansour Kesargheh, Pouya Hosseini, Nima Nouri, Abdulhamid Zahedi, Jamshid Abouei, and Arash Mohammadi |
This paper proposes an efficient user selection method based on local computing time concerning high-power processing to enhance user participation and employing reconfigurable intelligent surface (RIS) to improve channel reliability in the wireless FL system.
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Editor-in-Chief
F. Richard Yu
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