Intelligent Reflecting Surfaces aided Task Offloading in Digital Twin Edge Networks
Author:
Affiliation:
1. Huazhong University of Science and Technology,School of Cyber Science and Engineering,Wuhan,China
2. Beijing Jiaotong University,State Key Laboratory of Advanced Rail Autonomous Operation,Beijing,China
Funder
National Natural Science Foundation of China
China Postdoctoral Science Foundation
State Key Laboratory of Rail Traffic Control and Safety
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10333258/10333344/10333669.pdf?arnumber=10333669
Reference16 articles.
1. 6g white paper on edge intelligence;Peltonen,2020
2. Digital-Twin-Enabled 6G: Vision, Architectural Trends, and Future Directions
3. Digital Twin-Driven Vehicular Task Offloading and IRS Configuration in the Internet of Vehicles
4. Efficiency and Fairness Oriented Dynamic Task Offloading in Internet of Vehicles
5. A Novel Framework of Federated and Distributed Machine Learning for Resource Provisioning in 5G and Beyond using Mobile-Edge SCBS
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