Adaptive Digital Twin for UAV-Assisted Integrated Sensing, Communication, and Computation Networks-Reference-Cited by-同舟云学术

Adaptive Digital Twin for UAV-Assisted Integrated Sensing, Communication, and Computation Networks

Published:2023-12 Issue:4 Volume:7 Page:1996-2009
ISSN:2473-2400
Container-title:IEEE Transactions on Green Communications and Networking
language:
Short-container-title:IEEE Trans. on Green Commun. Netw.

Author:

Li Bin¹^ORCID,Liu Wenshuai¹,Xie Wancheng¹^ORCID,Zhang Ning²^ORCID,Zhang Yan³^ORCID

Affiliation:

1. School of Computer Science, Nanjing University of Information Science and Technology, Nanjing, China

2. Department of Electrical and Computer Engineering, University of Windsor, ON N9B 3P4, Windsor, Canada

3. University of Oslo, Oslo, Norway

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Open Research Fund of Key Laboratory of Broadband Wireless Communication and Sensor Network Technology (Nanjing University of Posts and Telecommunications), Ministry of Education

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

http://xplorestaging.ieee.org/ielx7/7511293/10325381/10190734.pdf?arnumber=10190734

Reference29 articles.

1. Adaptive Digital Twin and Multiagent Deep Reinforcement Learning for Vehicular Edge Computing and Networks

2. Secure and Latency-Aware Digital Twin Assisted Resource Scheduling for 5G Edge Computing-Empowered Distribution Grids

3. Integrated Sensing and Communication Assisted Mobile Edge Computing: An Energy-Efficient Design via Intelligent Reflecting Surface

4. Deep Reinforcement Learning for Flocking Motion of Multi-UAV systems: Learn from a Digital Twin

5. Digital-Twin-Assisted Task Offloading Based on Edge Collaboration in the Digital Twin Edge Network

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