Proactive handover decision for UAVs with deep reinforcement learning
The applications of Unmanned Aerial Vehicles (UAVs) are rapidly growing in domains such
as surveillance, logistics, and entertainment and require continuous connectivity with …
as surveillance, logistics, and entertainment and require continuous connectivity with …
UAVs handover decision using deep reinforcement learning
Cellular networks provide the necessary connectivity to the Unmanned Aerial Vehicles
(UAV), however, these net-works are primarily designed for ground users. The in place …
(UAV), however, these net-works are primarily designed for ground users. The in place …
D3QN-Based Trajectory and Handover Management for UAVs Co-existing with Terrestrial Users
The ubiquitous cellular network is a strong candidate for providing UAVs' wireless
connectivity. Due to the maneuverability advantage and higher altitude, UAVs could have …
connectivity. Due to the maneuverability advantage and higher altitude, UAVs could have …
A deep learning approach to efficient drone mobility support
The growing deployment of drones in a myriad of applications relies on seamless and
reliable wireless connectivity for safe control and operation of drones. Cellular technology is …
reliable wireless connectivity for safe control and operation of drones. Cellular technology is …
Machine learning assisted handover and resource management for cellular connected drones
Cellular connectivity for drones comes with a wide set of challenges as well as opportunities.
Communication of cellular-connected drones is influenced by 3-dimensional mobility and …
Communication of cellular-connected drones is influenced by 3-dimensional mobility and …
Aero5GBS—Deep learning-empowered ground users handover in aerial 5G and beyond systems
AAL Queiroz, MKS Barbosa, KL Dias - IEEE Access, 2023 - ieeexplore.ieee.org
Recently, Unmanned Aerial Vehicles (UAVs) have been envisioned as aerial base stations,
UAV-BS, serving ground users independently of the traditional cellular infrastructure. It is …
UAV-BS, serving ground users independently of the traditional cellular infrastructure. It is …
[PDF][PDF] Reinforcement Learning-Based Optimization for Drone Mobility in 5G and Beyond Ultra-Dense Networks.
Drone applications in 5th generation (5G) networks mainly focus on services and use cases
such as providing connectivity during crowded events, human-instigated disasters …
such as providing connectivity during crowded events, human-instigated disasters …
Efficient drone mobility support using reinforcement learning
Flying drones can be used in a wide range of applications and services from surveillance to
package delivery. To ensure robust control and safety of drone operations, cellular networks …
package delivery. To ensure robust control and safety of drone operations, cellular networks …
A trajectory prediction based intelligent handover control method in UAV cellular networks
B Hu, H Yang, L Wang, S Chen - China Communications, 2019 - ieeexplore.ieee.org
The airborne base station (ABS) can provide wireless coverage to the ground in unmanned
aerial vehicle (UAV) cellular networks. When mobile users move among adjacent ABSs, the …
aerial vehicle (UAV) cellular networks. When mobile users move among adjacent ABSs, the …
Employing unmanned aerial vehicles for improving handoff using cooperative game theory
Heterogeneous wireless networks that are used for seamless mobility are expected to face
prominent problems in future fifth generation (5G) cellular networks. Due to their proper …
prominent problems in future fifth generation (5G) cellular networks. Due to their proper …