Trajectory planning of UAV-enabled data uploading for large-scale dynamic networks: A trend prediction based learning approach
J Wang, X Wang, X Liu, CT Cheng… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The unmanned aerial vehicle (UAV) enabled communication technology is regarded as an
efficient and effective solution to provide emergency data uploading for some special cases …
efficient and effective solution to provide emergency data uploading for some special cases …
Bayesian optimization enhanced deep reinforcement learning for trajectory planning and network formation in multi-UAV networks
In this paper, we employ multiple UAVs coordinated by a base station (BS) to help the
ground users (GUs) to offload their sensing data. Different UAVs can adapt their trajectories …
ground users (GUs) to offload their sensing data. Different UAVs can adapt their trajectories …
Deep reinforcement learning for real-time trajectory planning in UAV networks
In Unmanned Aerial Vehicle (UAV)-enabled wireless powered sensor networks, a UAV can
be employed to charge the ground sensors remotely via Wireless Power Transfer (WPT) and …
be employed to charge the ground sensors remotely via Wireless Power Transfer (WPT) and …
Trajectory Planning in UAV-Assisted Wireless Networks via Reinforcement Learning
S He, S Zhang - 2022 IEEE 23rd International Conference on …, 2022 - ieeexplore.ieee.org
The development of the fifth-generation (5G) communication technology and various
emerging Internet of Things (IoT) applications have brought in great challenge of seamless …
emerging Internet of Things (IoT) applications have brought in great challenge of seamless …
Autonomous on-demand deployment for UAV assisted wireless networks
Unmanned aerial vehicle (UAV) assisted wireless network has been recognized as an
effective technology to facilitate the formation of a super flexible low-altitude platform for …
effective technology to facilitate the formation of a super flexible low-altitude platform for …
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 …
Trajectory design and generalization for UAV enabled networks: A deep reinforcement learning approach
X Li, Q Wang, J Liu, W Zhang - 2020 IEEE Wireless …, 2020 - ieeexplore.ieee.org
In this paper, an unmanned aerial vehicle (UAV) flies as a base station (BS) to provide
wireless communication service. We propose two algorithms for designing the trajectory of …
wireless communication service. We propose two algorithms for designing the trajectory of …
Dynamic online trajectory planning for a UAV-enabled data collection system
S Li, F Wu, S Luo, Z Fan, J Chen… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Due to the maneuverability and flexibility of unmanned aerial vehicles (UAVs), the UAV-
enabled data collection systems for wireless sensor networks (WSN) have received …
enabled data collection systems for wireless sensor networks (WSN) have received …
QoE-driven adaptive deployment strategy of multi-UAV networks based on hybrid deep reinforcement learning
Y Zhou, X Ma, S Hu, D Zhou… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) serve as aerial base stations to provide controlled
wireless connections for ground users. Due to their constraints on both mobility and energy …
wireless connections for ground users. Due to their constraints on both mobility and energy …
Deep-reinforcement-learning-based optimal transmission policies for opportunistic UAV-aided wireless sensor network
Y Liu, J Yan, X Zhao - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
When there are unmanned aerial vehicles (UAVs) performing their specifically assigned
tasks in the air, some of them still have available resources to access different ground …
tasks in the air, some of them still have available resources to access different ground …