Computing Force Network self-intelligence Based on Intent Driven and Digital Twin-Reference-Cited by-同舟云学术

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Computing Force Network self-intelligence Based on Intent Driven and Digital Twin

Published:2023-09-22 Issue: Volume:49 Page:929-936
ISSN:
Container-title:2023 3rd International Conference on Electronic Information Engineering and Computer Science (EIECS)
language:
Short-container-title:

Author:

Li Xiangning¹,Cai Yuqian¹,Tian Jingyue¹

Affiliation:

1. China Telecom Beijing Research Institude,6G Research Centre,Beijing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10434935/10434274/10435576.pdf?arnumber=10435576

Reference13 articles.

1. Research on Key Issues and Implementation Paths of computing force Scheduling;Yu;Information and Communication Technology and Policy,2023

2. Deterministic Scheduling and Routing Joint Initelligent Optimization Scheme in computing force Networks;Sun;Journal of Beijing University of Posts and Telecommunications,2023

3. Efficient Method for Measuring computing force Resources in computing force Networks;Chai;JComputer Research and Development,2023

4. Computing Force Networks in 6G: Architecture and Key Technologies;Fengxian;Radio Communications Technology,2023

5. A Solution of computing force Trading Mechanism Based on Blockchain and Smart Contract;Hang;ZTE Technology Journal,2022

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