An Exemplification of Decisions of Machine Learning Classifiers to Predict Handover in a 5G/4G/3G Cellular Communications Network

A Tahat, F Wahhab, TA Edwan - 2024 20th International …, 2024 - ieeexplore.ieee.org
Mobile applications and high-end Internet-of-Things (loT) devices are progressively
becoming reliant on high-data rates and high endurance content delivery, while the …

Handover predictions as an enabler for anticipatory service adaptations in next-generation cellular networks

CL Vielhaus, JVS Busch, P Geuer, A Palaios… - Proceedings of the 20th …, 2022 - dl.acm.org
Next-generation networks are envisioned to be empowered by artificial intelligence with
predictive capabilities. Predicting handovers in high mobility scenarios enables networks …

Handover prediction integrated with service migration in 5G systems

H Abdah, JP Barraca, RL Aguiar - ICC 2020-2020 IEEE …, 2020 - ieeexplore.ieee.org
As the research community inclines toward adopting increasingly complex techniques for
future networks, and simple methods are often ignored, being labeled as trivial. In this paper …

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 …

Realistic modeling of handover events in a multi-carrier 5G network: A preliminary step towards COP-KPI relationship realization

M Manalastas - 2020 - shareok.org
The ever-increasing demand for mobile data traffic along with new use cases are set to
make the current cellular network technology obsolete and give rise to a newer and better …

[PDF][PDF] Machine Learning-assisted Partially Blind Handover Prediction in 5G Network Systems

İ Yazici, E Gures - Authorea Preprints, 2024 - essopenarchive.org
Handover is the process of transferring a cellular call or data session from one base station
(BS) to another. This process aims to establish reliable and uninterrupted connection …

Model-Free QoE-Aware Seamless Handoff in Heterogeneous Wireless Networks

KR Singh, R Chaudhry, V Rishiwal, M Yadav - Mobile Networks and …, 2024 - Springer
Next-generation wireless networks (NGWN) consist of the integration of various
technologies, such as Mobile ad-hoc networks (MANET), Wi-Fi, WiMAX, and LTE which are …

Big data and machine learning driven handover management and forecasting

LP Tung, BSP Lin - 2017 IEEE Conference on Standards for …, 2017 - ieeexplore.ieee.org
Handover (HO), as a key aspect of mobility management, plays an important role in
improving network quality and mobility performance in mobile networks. Especially, in 5G …

Mobility Management Paradigm Shift: from Reactive to Proactive Handover using AI/ML

HS Park, H Kim, C Lee, H Lee - IEEE Network, 2024 - ieeexplore.ieee.org
Mobility management is one of the most essential functionalities in mobile networks,
providing seamless services for users. Mobility performance has been one of the main …

Deep learning-based handover prediction for 5G and beyond networks

JPSH Lima, ÁAM de Medeiros… - ICC 2023-IEEE …, 2023 - ieeexplore.ieee.org
Although the 5G New Radio standard empowers the mobile communication networks with
diverse technologies such as Massive MIMO, mmWave deployments, and much more, some …