MADDPG-based joint service placement and task offloading in MEC empowered air-ground integrated networks

Du, J., Kong, Z., Sun, A. et al. (4 more authors) (2023) MADDPG-based joint service placement and task offloading in MEC empowered air-ground integrated networks. IEEE Internet of Things Journal, 11 (6). pp. 10600-10615. ISSN 2327-4662

Abstract

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Item Type: Article
Authors/Creators:
Copyright, Publisher and Additional Information:

© 2023 The Authors. Except as otherwise noted, this author-accepted version of a journal article published in IEEE Internet of Things Journal 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: Air-Ground Integrated Networks; computation offloading; service deployment; resource allocation; deep reinforcement learning
Dates:
  • Published: 24 October 2023
  • Published (online): 24 October 2023
  • Accepted: 18 October 2023
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Electronic and Electrical Engineering (Sheffield)
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: 26 Oct 2023 16:07
Last Modified: 30 Oct 2024 04:16
Status: Published
Publisher: Institute of Electrical and Electronics Engineers
Refereed: Yes
Identification Number: 10.1109/JIOT.2023.3326820
Open Archives Initiative ID (OAI ID):

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