Structural knowledge-driven meta-learning for task offloading in vehicular networks with integrated communications, sensing and computing

Structural knowledge-driven meta-learning for task offloading in vehicular networks with integrated communications, sensing and computing

Task offloading is a potential solution to satisfy the strict requirements of computation-intensive and latency-sensitive vehicular applications due to the limited onboard computing resources. However, the overwhelming upload traffic may lead to unacceptable uploading time. To tackle this issue, for...

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Bibliographic Details
Main Authors: Ruijin Sun, Yao Wen, Nan Cheng, Wei Wang, Rong Chai, Yilong Hui
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2024-07-01
Series:Journal of Information and Intelligence
Subjects:
Knowledge-driven meta-learning
Integration of communication
Sensing and computing
Task offloading
Vehicular networks
Online Access:http://www.sciencedirect.com/science/article/pii/S2949715924000106
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