Advanced Mobility Robustness Optimization Models in Future Mobile Networks Based on Machine Learning Solutions

Advanced Mobility Robustness Optimization Models in Future Mobile Networks Based on Machine Learning Solutions

Ultra-dense heterogeneous networks (HetNets) are deployment scenarios in the advent of fifth generation (5G) and beyond network generations. A massive number of small base stations (SBSs) and connected devices have been exponentially increasing. This has subsequently led to a rise of several mobilit...

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Bibliographic Details
Main Authors: Waheeb Tashan, Ibraheem Shayea, Sultan Aldirmaz-Colak, Omar Abdul Aziz, Abdulraqeb Alhammadi, Yousef Ibrahim Daradkeh
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Machine learning
handover
self-optimization
mobility robustness optimization
handover margin
time-to-trigger
Online Access:https://ieeexplore.ieee.org/document/9924163/

Internet

https://ieeexplore.ieee.org/document/9924163/

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