Multi-Agent Reinforcement Learning-Based Digital Twin Migration Over Wireless Networks
Author:
Affiliation:
1. Queen Mary University of London,London,U.K.
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10622104/10622158/10622790.pdf?arnumber=10622790
Reference12 articles.
1. Digital Twin of Wireless Systems: Overview, Taxonomy, Challenges, and Opportunities
2. Data Synchronization in Vehicular Digital Twin Network: A Game Theoretic Approach
3. URLLC Edge Networks With Joint Optimal User Association, Task Offloading and Resource Allocation: A Digital Twin Approach
4. Edge Intelligence-Based Ultra-Reliable and Low-Latency Communications for Digital Twin-Enabled Metaverse
5. Low-Latency Federated Learning and Blockchain for Edge Association in Digital Twin Empowered 6G Networks
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