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 …

Adaptive hysteresis margin based on fuzzy logic for handover in mobile networks with dense small cells

KDC Silva, Z Becvar, CRL Frances - IEEE Access, 2018 - ieeexplore.ieee.org
To satisfy requirements on future mobile network, a large number of small cells should be
deployed. In such scenario, mobility management becomes a critical issue in order to …

Machine learning aided holistic handover optimization for emerging networks

MUB Farooq, M Manalastas, SMA Zaidi… - ICC 2022-IEEE …, 2022 - ieeexplore.ieee.org
In the wake of network densification and multi-band operation in emerging cellular networks,
mobility and handover management is becoming a major bottleneck. The problem is further …

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 …

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 …

Machine-learning-based predictive handover

A Masri, T Veijalainen, H Martikainen… - 2021 IFIP/IEEE …, 2021 - ieeexplore.ieee.org
Good mobility performance is critical in cellular networks for ensuring that each user is
always connected to the best possible cell and that the handovers are executed timely to …

O-RAN intelligent application for cellular mobility management

BH Prananto, A Kurniawan - … on ICT for Smart Society (ICISS …, 2022 - ieeexplore.ieee.org
Machine Learning (ML) is gaining a more important role in cellular networks. Mobility
management can be improved using ML due to its complexity and criticality to network …

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 …

Evolutionary 4G/5G network architecture assisted efficient handover signaling

A Jain, E Lopez-Aguilera, I Demirkol - IEEE access, 2018 - ieeexplore.ieee.org
Future wireless networks are expected to be ultra-dense and heterogeneous not just in
terms of the number and type of base stations but also in terms of the number of users and …

Efficient mobility management in mobile edge computing networks: Joint handover and service migration

F Guo, M Peng - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
Mobile edge computing (MEC) has been envisioned as an essential technology for latency-
critical applications by providing computing services in close proximity to mobile users …