Using Machine Learning and Big Data Analytics to Prioritize Outpatients in HetNets

Hadi, M orcid.org/0000-0003-1422-5254, Lawey, A orcid.org/0000-0003-3571-4110, El-Gorashi, T et al. (1 more author) (2019) Using Machine Learning and Big Data Analytics to Prioritize Outpatients in HetNets. In: IEEE INFOCOM 2019 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS). INFOCOM 2019, 29 Apr - 02 May 2019, Paris, France. IEEE , pp. 726-731. ISBN 978-1-7281-1878-9

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Copyright, Publisher and Additional Information: © 2019 IEEE. This is an author produced version of a paper published in IEEE INFOCOM 2019 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS). Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, 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 component of this work in other works. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: HetNet Optimization, Machine Learning, Patientcentric Network Optimization, Naïve Bayesian Classifier, MILP, Resource Allocation, Spectrum Allocation, Big Data Analytics
Dates:
  • Published: 23 September 2019
  • Accepted: 21 February 2019
  • Published (online): 23 September 2019
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Institute of Communication & Power Networks (Leeds)
Funding Information:
FunderGrant number
EPSRCEP/H040536/1
EPSRCEP/K016873/1
EPSRCEP/S016570/1
Depositing User: Symplectic Publications
Date Deposited: 15 Mar 2019 13:39
Last Modified: 14 Nov 2019 19:38
Status: Published
Publisher: IEEE
Identification Number: https://doi.org/10.1109/INFCOMW.2019.8845225

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