Handover management for drones in future mobile networks—A survey

I Shayea, P Dushi, M Banafaa, RA Rashid, S Ali… - Sensors, 2022 - mdpi.com
Drones have attracted extensive attention for their environmental, civil, and military
applications. Because of their low cost and flexibility in deployment, drones with …

A survey on handover management: From LTE to NR

M Tayyab, X Gelabert, R Jäntti - IEEE Access, 2019 - ieeexplore.ieee.org
To satisfy the high data demands in future cellular networks, an ultra-densification approach
is introduced to shrink the coverage of base station (BS) and improve the frequency reuse …

[HTML][HTML] Handover parameter for self-optimisation in 6G mobile networks: A survey

U Mahamod, H Mohamad, I Shayea, M Othman… - Alexandria Engineering …, 2023 - Elsevier
One of the most crucial issues in mobile networks is ensuring reliable and stable
connectivity during mobility. In recent years, numerous research has examined Fourth …

Auto tuning self-optimization algorithm for mobility management in LTE-A and 5G HetNets

A Alhammadi, M Roslee, MY Alias, I Shayea… - IEEE …, 2019 - ieeexplore.ieee.org
Ultra-dense networks represent the trend for future wireless 5G networks, which can provide
high transmission rates in dense urban environments. However, a massive number of small …

QoE-driven intelligent handover for user-centric mobile satellite networks

H Xu, D Li, M Liu, G Han, W Huang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Recently, many satellites are being launched for providing global internet broadband
service to individual consumers. Since satellites and users could move separately, providing …

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 …

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 …

Advanced mobility robustness optimization models in future mobile networks based on machine learning solutions

W Tashan, I Shayea, S Aldirmaz-Çolak, OA Aziz… - IEEE …, 2022 - ieeexplore.ieee.org
Ultra-dense heterogeneous networks (HetNets) are deployment scenarios in the advent of
fifth generation (5G) and beyond network generations. A massive number of small base …

Dynamic handover control parameters for LTE-A/5G mobile communications

A Alhammadi, M Roslee, MY Alias… - 2018 Advances in …, 2018 - ieeexplore.ieee.org
Deploying ultra-dense small-cell base stations in the next-generation mobile networks is
one of the most expected approaches to overcome the uncertainty of millimeter wave (mm …

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 …