Model-free based automated trajectory optimization for UAVs toward data transmission
In this paper, we consider an unmanned aerial vehicle (UAV) enabled wireless network with
a set of ground devices that are randomly distributed in an area and each having a certain …
a set of ground devices that are randomly distributed in an area and each having a certain …
Adaptive UAV-trajectory optimization under quality of service constraints: A model-free solution
Unmanned aerial vehicles (UAVs) with the potential of providing reliable high-rate
connectivity, are becoming a promising component of future wireless networks. A UAV …
connectivity, are becoming a promising component of future wireless networks. A UAV …
Reinforcement learning for decentralized trajectory design in cellular UAV networks with sense-and-send protocol
Recently, the unmanned aerial vehicles (UAVs) have been widely used in real-time sensing
applications over cellular networks. The performance of a UAV is determined by both its …
applications over cellular networks. The performance of a UAV is determined by both its …
Optimal transmission control and learning-based trajectory design for UAV-assisted detection and communication
W Ni, H Tian, S Fan, G Nie - 2020 IEEE 31st Annual …, 2020 - ieeexplore.ieee.org
Due to their high mobility, flexible deployment and stable maneuverability, unmanned aerial
vehicles (UAVs) have been deemed as a promising and indispensable role for various …
vehicles (UAVs) have been deemed as a promising and indispensable role for various …
Path design for cellular-connected UAV with reinforcement learning
This paper studies the path design problem for cellular-connected unmanned aerial vehicle
(UAV), which aims to minimize its mission completion time while maintaining good …
(UAV), which aims to minimize its mission completion time while maintaining good …
Trajectory optimization for autonomous flying base station via reinforcement learning
H Bayerlein, P De Kerret… - 2018 IEEE 19th …, 2018 - ieeexplore.ieee.org
In this work, we study the optimal trajectory of an unmanned aerial vehicle (UAV) acting as a
base station (BS) to serve multiple users. Considering multiple flying epochs, we leverage …
base station (BS) to serve multiple users. Considering multiple flying epochs, we leverage …
Collision-aware UAV trajectories for data collection via reinforcement learning
Unmanned aerial vehicles (UAVs) are expected to be an integral part of wireless networks,
and determining collision-free trajectories in multi-UAV non-cooperative scenarios is a …
and determining collision-free trajectories in multi-UAV non-cooperative scenarios is a …
Learning-based UAV path planning for data collection with integrated collision avoidance
Unmanned aerial vehicles (UAVs) are expected to be an integral part of wireless networks,
and determining collision-free trajectory in multi-UAV noncooperative scenarios while …
and determining collision-free trajectory in multi-UAV noncooperative scenarios while …
Multi-agent reinforcement learning for UAVs 3D trajectory designing and mobile ground users scheduling with no-fly zones
Y Gao, S Wang, M Liu, Y Hu - 2023 IEEE/CIC International …, 2023 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV)-based aerial communication is considered a promising
technology in future wireless systems. In this paper, we study a multi-UAV-assisted data …
technology in future wireless systems. In this paper, we study a multi-UAV-assisted data …
Uplink Throughput Maximization in UAV-Aided Mobile Networks: A DQN-Based Trajectory Planning Method
This paper focuses on the unmanned aerial vehicles (UAVs)-aided mobile networks, where
multiple ground mobile users (GMUs) desire to upload data to a UAV. In order to maximize …
multiple ground mobile users (GMUs) desire to upload data to a UAV. In order to maximize …