A survey of machine learning applications to handover management in 5G and beyond

MS Mollel, AI Abubakar, M Ozturk, SF Kaijage… - IEEE …, 2021 - ieeexplore.ieee.org
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 …

Intelligent handover decision scheme using double deep reinforcement learning

MS Mollel, AI Abubakar, M Ozturk, S Kaijage… - Physical …, 2020 - Elsevier
Handovers (HOs) have been envisioned to be more challenging in 5G networks due to the
inclusion of millimetre wave (mm-wave) frequencies, resulting in more intense base station …

[HTML][HTML] An overview of reinforcement learning algorithms for handover management in 5G ultra-dense small cell networks

J Tanveer, A Haider, R Ali, A Kim - Applied Sciences, 2022 - mdpi.com
The fifth generation (5G) wireless technology emerged with marvelous effort to state, design,
deployment and standardize the upcoming wireless network generation. Artificial …

PBPHS: a profile-based predictive handover strategy for 5G networks

J Sun, Y Zhang, M Trik - Cybernetics and Systems, 2022 - Taylor & Francis
One of the necessities of mobile networks is uninterrupted access to wireless services,
taking into account the requirements of quality of service. With the development of the fifth …

Advanced handover self-optimization approach for 4G/5G HetNets using weighted fuzzy logic control

A Alhammadi, M Roslee, MY Alias… - 2019 15th …, 2019 - ieeexplore.ieee.org
The future fifth generation (5G) wireless communications support the ultra-dense networks
where deployments of a large number of small cells coexist with current 4G networks …

5G handover using reinforcement learning

V Yajnanarayana, H Rydén… - 2020 IEEE 3rd 5G World …, 2020 - ieeexplore.ieee.org
In typical wireless cellular systems, the handover mechanism involves reassigning an
ongoing session handled by one cell into another. In order to support increased capacity …

Intelligent handover triggering mechanism in 5G ultra-dense networks via clustering-based reinforcement learning

Q Liu, CF Kwong, S Wei, L Li, S Zhang - Mobile Networks and Applications, 2021 - Springer
Ultra-dense networks (UDNs) are considered as key 5G technologies. They provide mobile
users a high transmission rate and efficient radio resource management. However, UDNs …

Handover control in wireless systems via asynchronous multiuser deep reinforcement learning

Z Wang, L Li, Y Xu, H Tian, S Cui - IEEE Internet of Things …, 2018 - ieeexplore.ieee.org
In this paper, we propose a two-layer framework to learn the optimal handover (HO)
controllers in possibly large-scale wireless systems supporting mobile Internet-of-Things …

Mobility management in 5G and beyond: a novel smart handover with adaptive Time-to-trigger and hysteresis margin

R Karmakar, G Kaddoum… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The 5th Generation (5G) New Radio (NR) and beyond technologies will support enhanced
mobile broadband, very low latency communications, and huge numbers of mobile devices …

Handover parameters optimisation techniques in 5G networks

WK Saad, I Shayea, BJ Hamza, H Mohamad… - Sensors, 2021 - mdpi.com
The massive growth of mobile users will spread to significant numbers of small cells for the
Fifth Generation (5G) mobile network, which will overlap the fourth generation (4G) network …