Energy-Efficient Virtual Resource Allocation of Slices in Vehicles-Assisted B5G Networks-Reference-Cited by-同舟云学术

Energy-Efficient Virtual Resource Allocation of Slices in Vehicles-Assisted B5G Networks

Published:2022-09 Issue:3 Volume:6 Page:1408-1417
ISSN:2473-2400
Container-title:IEEE Transactions on Green Communications and Networking
language:
Short-container-title:IEEE Trans. on Green Commun. Netw.

Author:

Cao Haotong¹^ORCID,Zhao Haitao¹^ORCID,Jindal Anish²^ORCID,Aujla Gagangeet Singh²,Yang Longxiang¹^ORCID

Affiliation:

1. Jiangsu Key Laboratory of Wireless Communications, Nanjing University of Posts and Telecommunications, Nanjing, China

2. Department of Computer Science, Durham University, Durham, U.K.

Funder

National Natural Science Foundation of China

Key Research and Development Program of Jiangsu Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Renewable Energy, Sustainability and the Environment

Link

http://xplorestaging.ieee.org/ielx7/7511293/9863718/09733912.pdf?arnumber=9733912

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4. A Hybrid Deep Reinforcement Learning For Autonomous Vehicles Smart-Platooning

5. Secure-Enhanced Federated Learning for AI-Empowered Electric Vehicle Energy Prediction

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