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 …

Data driven optimization of inter-frequency mobility parameters for emerging multi-band networks

MUB Farooq, M Manalastas, W Raza… - … 2020-2020 IEEE …, 2020 - ieeexplore.ieee.org
Densification and multi-band operation in 5G and beyond pose an unprecedented
challenge for mobility management, particularly for inter-frequency handovers. The …

A data-driven self-optimization solution for inter-frequency mobility parameters in emerging networks

MUB Farooq, M Manalastas, W Raza… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Densification and multi-band operation means inter-frequency handovers can become a
bottleneck for mobile user experience in emerging cellular networks. The challenge is …

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 …

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 …

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 …

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 …

A survey on handover optimization in beyond 5G mobile networks: Challenges and solutions

S Alraih, R Nordin, A Abu-Samah, I Shayea… - IEEE …, 2023 - ieeexplore.ieee.org
Handover (HO) management is essential in mobile cellular networks. It ensures seamless
connectivity to the User Equipment (UE) while moving from one Base Station (BS) to another …

[HTML][HTML] Velocity-aware handover self-optimization management for next generation networks

A Alhammadi, M Roslee, MY Alias, I Shayea… - Applied Sciences, 2020 - mdpi.com
The fifth generation (5G) network is an upcoming standard for wireless communications that
coexists with the current 4G network to increase the throughput. The deployment of ultra …

Self-Optimization of Handover Control Parameters for 5G Wireless Networks and Beyond

AI Mbulwa, HT Yew, A Chekima, JA Dargham - IEEE Access, 2023 - ieeexplore.ieee.org
Fifth-generation (5G) networks consist of relatively smaller cells compared to legacy
networks. Therefore, a user will take a shorter time toward the cell edge. This exposes the …