Deep reinforcement learning-based resource allocation strategy for energy harvesting-powered cognitive machine-to-machine networks

Xu, Y.-H., Tian, Y.-B., Searyoh, P.K. et al. (2 more authors) (2020) Deep reinforcement learning-based resource allocation strategy for energy harvesting-powered cognitive machine-to-machine networks. Computer Communications, 160. pp. 706-717. ISSN 0140-3664

Abstract

Metadata

Authors/Creators:
  • Xu, Y.-H.
  • Tian, Y.-B.
  • Searyoh, P.K.
  • Yu, G.
  • Yong, Y.-T.
Copyright, Publisher and Additional Information: © 2020 Elsevier B.V. This is an author produced version of a paper subsequently published in Computer Communications. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/).
Keywords: Energy Harvesting; M2M communication; Resource allocation; Deep Reinforcement Learning
Dates:
  • Accepted: 8 July 2020
  • Published (online): 11 July 2020
  • Published: 11 July 2020
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Electronic and Electrical Engineering (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 10 Feb 2021 14:40
Last Modified: 11 Jul 2021 00:38
Status: Published
Publisher: Elsevier BV
Refereed: Yes
Identification Number: https://doi.org/10.1016/j.comcom.2020.07.015

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