Learning IoV in 6G: Intelligent Edge Computing for Internet of Vehicles in 6G Wireless Communications

Abstract--In sixth-generation (6G) wireless communications, deep learning will still be essential for the Internet of Vehicles (IoV). 6G will bring new opportunities and challenges to current deep learning systems applied in the IoV environment. This article introduces a new framework named Learning...

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Bibliographic Details
Published in:IEEE wireless communications 2023-12, Vol.30 (6), p.1-6
Main Authors: Li, He, Ota, Kaoru, Dong, Mianxiong
Format: Article
Language:English
Subjects:
6G mobile communication
Artificial intelligence
Deep learning
Edge computing
Internet of Vehicles
Satellites
Servers
Task analysis
Wireless communications
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Summary:Abstract--In sixth-generation (6G) wireless communications, deep learning will still be essential for the Internet of Vehicles (IoV). 6G will bring new opportunities and challenges to current deep learning systems applied in the IoV environment. This article introduces a new framework named Learning IoV in 6G, focusing on the deep learning applications for IoV in 6G. We also apply the proposed framework in a flying base station (FBS) to evaluate the performance for future IoV in 6G.
ISSN:1536-1284
1558-0687
DOI:10.1109/MWC.017.2200089