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

Having a cognitive and self-optimizing network that proactively adapts not only to channel conditions, but also according to its users' needs can be one of the highest forthcoming priorities of future 6G Heterogeneous Networks (HetNets). In this paper, we introduce an interdisciplinary approach...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Mohammed S. Hadi, Ahmed Q. Lawey, Taisir E. H. El-Gorashi, Jaafar M. H. Elmirghani
Format:	Article
Language:	English
Published:	IEEE 2020-01-01
Subjects:	HetNet uplink optimization MILP machine learning patient-centric network optimization naïve Bayesian classifier
Online Access:	https://ieeexplore.ieee.org/document/9086596/