QoE-guaranteed optimization in MEC-enabled metaverse: an active inference deep reinforcement learning approach

Du, J., Gong, J., Chu, X. orcid.org/0000-0003-1863-6149 et al. (4 more authors) (2025) QoE-guaranteed optimization in MEC-enabled metaverse: an active inference deep reinforcement learning approach. IEEE Transactions on Cognitive Communications and Networking. ISSN 2332-7731

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Item Type: Article
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Copyright, Publisher and Additional Information:

© 2025 The Authors. Except as otherwise noted, this author-accepted version of a journal article published in IEEE Transactions on Cognitive Communications and Networking is made available via the University of Sheffield Research Publications and Copyright Policy under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/

Keywords: Mobile edge computing; metaverse; deep reinforcement learning; active inference
Dates:
  • Accepted: 15 March 2025
  • Published (online): 24 March 2025
  • Published: 24 March 2025
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > School of Electrical and Electronic Engineering
Funding Information:
Funder
Grant number
UK RESEARCH AND INNOVATION
101086219 EP/X038971/1
UK Research and Innovation
EP/X038971/1
Depositing User: Symplectic Sheffield
Date Deposited: 07 Apr 2025 08:07
Last Modified: 21 May 2025 15:42
Status: Published online
Publisher: Institute of Electrical and Electronics Engineers
Refereed: Yes
Identification Number: 10.1109/TCCN.2025.3554003
Open Archives Initiative ID (OAI ID):

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