Multi-Agent Reinforcement Learning-Based Digital Twin Migration Over Wireless Networks

To reduce the synchronization latency in digital twin (DT)-enabled wireless edge networks, the DT migration provides an efficient roaming solution among edge servers by following users' trajectories. In this work, we formulate a joint DT migration, communication and computation resource managem...

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Bibliographic Details

Published in:	IEEE International Conference on Communications (2003) pp. 2779 - 2784
Main Authors:	Chen, Zhixiong, Yi, Wenqiang, Nallanathan, Arumugam
Format:	Conference Proceeding
Language:	English
Published:	IEEE 09.06.2024
Subjects:	Convex functions Digital twin migration Digital twins multi-agent reinforcement learning Reinforcement learning Simulation Trajectory Transforms Wireless networks
ISSN:	1938-1883
Online Access:	Get full text
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