Machine Learning-Based Load Balancing Algorithms in Future Heterogeneous Networks: A Survey

Machine Learning-Based Load Balancing Algorithms in Future Heterogeneous Networks: A Survey

The massive growth of mobile users and the essential need for high communication service quality necessitate the deployment of ultra-dense heterogeneous networks (HetNets) consisting of macro, micro, pico and femto cells. Each cell type provides different cell coverage and distinct system capacity i...

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Bibliographic Details
Main Authors: Emre Gures, Ibraheem Shayea, Mustafa Ergen, Marwan Hadri Azmi, Ayman A. El-Saleh
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Mobility management
load balancing
heterogeneous networks
handover
handover problems
handover self-optimization
Online Access:https://ieeexplore.ieee.org/document/9740126/

Internet

https://ieeexplore.ieee.org/document/9740126/

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