A survey of online data-driven proactive 5G network optimisation using machine learning

Ma, B. orcid.org/0000-0001-9522-5920, Guo, W. and Zhang, J. (2020) A survey of online data-driven proactive 5G network optimisation using machine learning. IEEE Access, 8. pp. 35606-35637.

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © 2020 The Authors. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see http://creativecommons.org/licenses/by/4.0/.
Keywords: Online data; data analytics; proactive network optimisation; 5G
Dates:
  • Accepted: 5 February 2020
  • Published (online): 19 February 2020
  • Published: 28 February 2020
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Electronic and Electrical Engineering (Sheffield)
Funding Information:
FunderGrant number
European Commission - Horizon 2020778305
Depositing User: Symplectic Sheffield
Date Deposited: 17 Mar 2020 11:19
Last Modified: 17 Mar 2020 11:19
Status: Published
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Refereed: Yes
Identification Number: https://doi.org/10.1109/access.2020.2975004

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