Message from the EiC |
Welcome to the December 2024 issue of VTS Mobile World – your IEEE Vehicular Technology Society newsletter.
This edition features enlightening articles contributed by experts, gathered from the Mobile Radio, Vehicular Electronics, and Transportation Systems columns in the IEEE Vehicular Technology Magazine, September 2024 edition. 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. Read More...
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Mobile Radio |
Generative AI on Snapdragon |
Claudio Casetti |
On 21 March 2024, Qualcomm announced the new Snapdragon 7+ Gen 3 mobile platform, bringing on-device generative AI (genAI) into the Snapdragon 7 series. Read More... |
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Automotive Electronics |
CE Models for Automotive Electronics |
Binh-Minh Nguyen and João P. Trovão |
The scale and concept of collaborative education (CE) can be extended beyond the boundaries of a company, school, country, or continent to tackle the new challenges in automotive electronics. To demonstrate this idea, this article examines three CE models, namely, PPBL, hierarchically decentralized CE (HDCE), and university social CE (USCE). Read More... |
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Transportation Systems |
New Light Rail East of the Puget Sound |
Bih-Yuan Ku |
Starting 27 April 2024, passengers on the east side of the Puget Sound region were able to use Sound Transit Link light rail to travel quickly and safely to destinations throughout Bellevue and Redmond, WA, USA. Read More... |
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From the IEEE Open Journal of Vehicular Technology |
Recent Articles in the IEEE OJVT |
Edward Au, IEEE Open Journal of Vehicular Technology Editor-in-Chief |
Terahertz communications, electrical vehicle charging, and artificial intelligence for wireless communications are some of the popular topics for publications. This article is your one-stop destination to know about the latest publications in these areas. We hope that the short summary accompanying each of these feature articles, written in layman language, will make your reading a pleasure! Read More... |
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From the IEEE Transactions on Vehicular Technology |
Vehicular Edge Computing Through Deep Reinforcement Learning |
Ashab Uddin, Ahmed Hamdi Sakr, and Ning Zhan |
This paper focuses on optimizing offloading and scheduling these tasks, with an emphasis on task prioritization to maximize task completion within deadlines while minimizing latency and energy consumption across all priority levels. Read More... |
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Editor-in-Chief
F. Richard Yu
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