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An Energy-Efficient In-Network Computing Paradigm for 6G

  • Published:2021-12 Issue:4 Volume:5 Page:1722-1733
  • ISSN:2473-2400
  • Container-title:IEEE Transactions on Green Communications and Networking
  • language:
  • Short-container-title:IEEE Trans. on Green Commun. Netw.

Author:

Hu NingORCID,Tian ZhihongORCID,Du XiaojiangORCID,Guizani MohsenORCID

Funder

National Natural Science Foundation of China

National Defence Science and Technology Key Laboratory Foundation

Guangdong Province Universities and Colleges Pearl River Scholar Funded Scheme

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Cited by 44 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Quantum-empowered federated learning and 6G wireless networks for IoT security: Concept, challenges and future directions;Future Generation Computer Systems;2024-11

2. Joint Network Slicing, Routing, and In-Network Computing for Energy-Efficient 6G;2024 IEEE Wireless Communications and Networking Conference (WCNC);2024-04-21

3. Native Support of AI Applications in 6G Mobile Networks Via an Intelligent User Plane;2024 IEEE Wireless Communications and Networking Conference (WCNC);2024-04-21

4. A survey on integrated computing, caching, and communication in the cloud-to-edge continuum;Computer Communications;2024-04

5. Early fault prediction for wind turbines based on deep learning;Sustainable Energy Technologies and Assessments;2024-04
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