MEC-assisted immersive VR video streaming over terahertz wireless networks: A deep reinforcement learning approach

Du, J., Yu, F.R., Lu, G. et al. (3 more authors) (2020) MEC-assisted immersive VR video streaming over terahertz wireless networks: A deep reinforcement learning approach. IEEE Internet of Things, 7 (10). pp. 9517-9529. ISSN 2327-4662

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Copyright, Publisher and Additional Information: © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. Reproduced in accordance with the publisher's self-archiving policy.
Keywords: Computation offloading; virtual reality; THz communication; deep reinforcement learning; asynchronous advantage actor-critic
Dates:
  • Accepted: 8 June 2020
  • Published (online): 18 June 2020
  • Published: October 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: 21 Jul 2020 10:07
Last Modified: 24 May 2022 10:33
Status: Published
Publisher: Institute of Electrical and Electronics Engineers
Refereed: Yes
Identification Number: https://doi.org/10.1109/jiot.2020.3003449

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