Delay-Oriented Knowledge-Driven Resource Allocation in SAGIN-Based Vehicular Networks
Author:
Affiliation:
1. Xidian University,School of Telecommunications Engineering,Xi’an,China
2. Pengcheng Laboratory,Shenzhen,China
Funder
National Key Research and Development Program of China
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10118584/10118587/10118888.pdf?arnumber=10118888
Reference13 articles.
1. Machine Learning-Based Resource Allocation in Satellite Networks Supporting Internet of Remote Things
2. Space/Aerial-Assisted Computing Offloading for IoT Applications: A Learning-Based Approach
3. Green-Oriented Dynamic Resource-on-Demand Strategy for Multi-RAT Wireless Networks Powered by Heterogeneous Energy Sources
4. Learning-Based Intent-Aware Task Offloading for Air-Ground Integrated Vehicular Edge Computing
5. Edge-Cloud Resource Scheduling in Space-Air-Ground Integrated Networks for Internet of Vehicles
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