Patient-Centric HetNets Powered by Machine Learning and Big Data Analytics for 6G Networks

Hadi, MS orcid.org/0000-0003-1422-5254, Lawey, AQ orcid.org/0000-0003-3571-4110, El-Gorashi, TEH et al. (1 more author) (2020) Patient-Centric HetNets Powered by Machine Learning and Big Data Analytics for 6G Networks. IEEE Access, 8. pp. 85639-85655. ISSN 2169-3536

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
Keywords: HetNet uplink optimization; MILP; machine learning; patient-centric; network optimization; naïve Bayesian classifier; decision tree; logistic regression; ensemble; 6G; resource allocation; spectrum allocation; big data analytics
Dates:
  • Published: 19 May 2020
  • Accepted: 17 April 2020
  • Published (online): 6 May 2020
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Institute of Communication & Power Networks (Leeds)
Funding Information:
FunderGrant number
EPSRC (Engineering and Physical Sciences Research Council)EP/S016570/1
EPSRC (Engineering and Physical Sciences Research Council)EP/H040536/1
EPSRC (Engineering and Physical Sciences Research Council)EP/K016873/1
Depositing User: Symplectic Publications
Date Deposited: 04 May 2020 11:40
Last Modified: 16 Jun 2020 14:11
Status: Published
Publisher: IEEE
Identification Number: https://doi.org/10.1109/ACCESS.2020.2992555

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