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SDVEC: Software-Defined Vehicular Edge Computing with Ultra-Low Latency
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DOI：10.1109/MCOM.004.2001124.png)
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摘要
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New paradigm shifts and 6G technological rev-olution in vehicular services have emerged toward unmanned driving, automated transportation, and self-driving vehicles. As the technology for autonomous cars becomes mature, real challeng-es come from reliable, safe, real-time connected transportation operations to achieve ubiquitous and prompt information exchanges with massive connected and autonomous vehicles. This article introduces novel wireless distributed architectures that embed the edge computing capability inside software-defined vehicular networking infrastructure. Such edge networks consist of open-loop grant-free communications and computing-based control frameworks, which enable dynamic eco-routing with ultra-low latency and mobile data-driven orchestration. Thus, this work advanc-es the frontiers of machine learning potential and next-generation mobile systems in vehicular net-working applications.
Keyword:
Wireless communication
6G mobile communication
Transportation
Machine learning
Computer architecture
Real-time systems
Reliability
期刊
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8.2
论文数:
6.9K
被引数:
2.2W
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