A Survey of Machine Learning Applications to Handover Management in 5G and Beyond

A Survey of Machine Learning Applications to Handover Management in 5G and Beyond

Handover (HO) is one of the key aspects of next-generation (NG) cellular communication networks that need to be properly managed since it poses multiple threats to quality-of-service (QoS) such as the reduction in the average throughput as well as service interruptions. With the introduction of new...

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Bibliographic Details
Main Authors: Michael S. Mollel, Attai Ibrahim Abubakar, Metin Ozturk, Shubi Felix Kaijage, Michael Kisangiri, Sajjad Hussain, Muhammad Ali Imran, Qammer H. Abbasi
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Handover
machine learning
mobility management
fifth generation
Online Access:https://ieeexplore.ieee.org/document/9381854/

Internet

https://ieeexplore.ieee.org/document/9381854/

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