Deep-mobility: A deep learning approach for an efficient and reliable 5g handover
RA Paropkari, A Thantharate… - … Conference on Wireless …, 2022 - ieeexplore.ieee.org
5G cellular networks are being deployed all over the world and this architecture supports
ultra-dense network (UDN) deployment. Small cells have a very important role in providing …
ultra-dense network (UDN) deployment. Small cells have a very important role in providing …
Efficient handover algorithm in 5G networks using deep learning
ZH Huang, YL Hsu, PK Chang… - GLOBECOM 2020-2020 …, 2020 - ieeexplore.ieee.org
In 5G networks, microcells are densely deployed for the spatial reuse to cooperate with the
traditional macrocells, and thus a moving user equipment (UE) usually experiences a more …
traditional macrocells, and thus a moving user equipment (UE) usually experiences a more …
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 …
networks that need to be properly managed since it poses multiple threats to quality-of …
Predictive handover strategy in 6g and beyond: A deep and transfer learning approach
I Panitsas, A Mudvari, A Maatouk… - arXiv preprint arXiv …, 2024 - arxiv.org
Next-generation cellular networks will evolve into more complex and virtualized systems,
employing machine learning for enhanced optimization and leveraging higher frequency …
employing machine learning for enhanced optimization and leveraging higher frequency …
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 …
always connected to the best possible cell and that the handovers are executed timely to …
Handover prediction integrated with service migration in 5G systems
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 …
future networks, and simple methods are often ignored, being labeled as trivial. In this paper …
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 …
providing seamless services for users. Mobility performance has been one of the main …
Literature Review of Handover Decision Algorithms in 5G Networks
As data traffic and mobile device usage continue to surge, ensuring the provision of reliable
and stable services becomes paramount. While 5G networks hold the promise of addressing …
and stable services becomes paramount. While 5G networks hold the promise of addressing …
[HTML][HTML] Machine learning algorithms in proactive decision making for handover management from 5G & beyond 5G
A Priyanka, P Gauthamarayathirumal… - Egyptian Informatics …, 2023 - Elsevier
In recent years, heterogeneous networks (HetNets) have drawn a lot of attention to
connecting devices that will enable everything to become smart, efficient, and fast. These …
connecting devices that will enable everything to become smart, efficient, and fast. These …
[HTML][HTML] Autonomous handover parameter optimisation for 5G cellular networks using deep deterministic policy gradient
The ultra-dense network (UDN) is considered a vital technology for 5G mobile
communications due to its ability to transmit high data rates in high-traffic environments …
communications due to its ability to transmit high data rates in high-traffic environments …