An overview of reinforcement learning algorithms for handover management in 5G ultra-dense small cell networks

J Tanveer, A Haider, R Ali, A Kim - Applied Sciences, 2022 - mdpi.com
The fifth generation (5G) wireless technology emerged with marvelous effort to state, design,
deployment and standardize the upcoming wireless network generation. Artificial …

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 …

Handover management of drones in future mobile networks: 6G technologies

J Angjo, I Shayea, M Ergen, H Mohamad… - IEEE …, 2021 - ieeexplore.ieee.org
Drones will be a significant part of future mobile communication networks, serving as mobile
users or acting as mobile base stations at sky. Although they will provide several solutions …

Mobility robustness optimization in future mobile heterogeneous networks: A survey

W Tashan, I Shayea, S Aldirmaz-Colak, M Ergen… - IEEE …, 2022 - ieeexplore.ieee.org
Ensuring reliable and stable communication during the movements of mobile users is one of
the key issues in mobile networks. In the recent years, several studies have been conducted …

A double-beam soft handover scheme and its performance analysis for mmwave UAV communications in windy scenarios

Z Liu, E Zhou, J Cui, Z Dong… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) acting as users to access the cellular network over the
millimeter wave (mmWave) spectrum form a promising solution to guarantee high data rate …

Performance analysis of multi-antenna UAV networks with 3D interference coordination

W Tang, H Zhang, Y He, M Zhou - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Exploiting multiple-input multiple-output (MIMO) technology in UAV networks will mine the
potential of spatial multiplexing. However, considering UAVs 3D distribution and line-of-sight …

Proactive handover decision for UAVs with deep reinforcement learning

Y Jang, SM Raza, M Kim, H Choo - Sensors, 2022 - mdpi.com
The applications of Unmanned Aerial Vehicles (UAVs) are rapidly growing in domains such
as surveillance, logistics, and entertainment and require continuous connectivity with …

Effect of channel fading and time-to-trigger duration on handover performance in UAV networks

Y He, W Huang, H Wei, H Zhang - IEEE Communications …, 2020 - ieeexplore.ieee.org
Owning to the agility and the transform between line-of-sight (LoS) and non-LoS (NLoS)
links, the time-varying channel in unmanned aerial vehicle (UAV) networks leads to the …

3D boundary modeling and handover analysis of aerial users in heterogeneous networks

Y Guo, H Zhang - IEEE Transactions on Vehicular Technology, 2023 - ieeexplore.ieee.org
Aerial user equipments (AUEs) levitating in the air are growingly used in various
applications for the agility, but leads to link fluctuation and deterioration of handover (HO) …

Equivalent Modelling and Analysis of Handover Process in K-tier UAV Networks

H Wei, H Zhang - IEEE Transactions on Wireless …, 2023 - ieeexplore.ieee.org
Featured by flexible deployment, unmanned aerial vehicles (UAVs) can form multi-tier
networks in 3D space, enhancing the capacity, but this heterogeneity causes more …