Reinforcement learning for joint detection and mapping using dynamic UAV networks
Dynamic radar networks (DRNs), usually composed of flying unmanned aerial vehicles
(UAVs), have recently attracted great interest for time-critical applications, such as search …
(UAVs), have recently attracted great interest for time-critical applications, such as search …
Trajectory Planning for UAV-Assisted Data Collection in IoT Network: A Double Deep Q Network Approach
S Wang, N Qi, H Jiang, M Xiao, H Liu, L Jia, D Zhao - Electronics, 2024 - mdpi.com
Unmanned aerial vehicles (UAVs) are becoming increasingly valuable as a new type of
mobile communication device and autonomous decision-making device in many application …
mobile communication device and autonomous decision-making device in many application …
Resource Block-Based Co-Design of Trajectory and Communication in UAV-Assisted Data Collection Networks
Y Guo, G Xu, Z Zhang, Z Li, X You… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
This paper explores the joint optimization problem for trajectory planning and radio resource
allocation in unmanned aerial vehicle (UAV) communications with the aim of maximizing …
allocation in unmanned aerial vehicle (UAV) communications with the aim of maximizing …
On collaborative multi-UAV trajectory planning for data collection
This paper investigates the scenario of the Internet of things (IoT) data collection via multiple
unmanned aerial vehicles (UAVs), where a novel collaborative multi-agent trajectory …
unmanned aerial vehicles (UAVs), where a novel collaborative multi-agent trajectory …
Model-aided Federated Reinforcement Learning for Multi-UAV Trajectory Planning in IoT Networks
Deploying teams of unmanned aerial vehicles (UAVs) to harvest data from distributed
Internet of Things (IoT) devices requires efficient trajectory planning and coordination …
Internet of Things (IoT) devices requires efficient trajectory planning and coordination …
AI-Empowered UAV Trajectory Optimization in 6G Aerial Networks
G Raja, B Sivaganesh, V Ravichandran… - … 2023-2023 IEEE …, 2023 - ieeexplore.ieee.org
Recently, Unmanned Aerial Vehicles (UAVs) have been deployed in various logistics and
surveillance applications. Sixth-Generation (6G) cellular networks can further enhance …
surveillance applications. Sixth-Generation (6G) cellular networks can further enhance …
Optimization-driven deep reinforcement learning for sniffer patrolling in wireless networks
X Luo, M Wang, C Zeng, C Li, J Xu… - … and Mobile Computing …, 2022 - ieeexplore.ieee.org
Passive traffic monitoring can be used for network diagnosis and management in wireless
networks by deploying wireless sniffers to monitor abnormal data traffic on different channels …
networks by deploying wireless sniffers to monitor abnormal data traffic on different channels …
Machine Learning Methods for UAV-aided Wireless Networks
H Bayerlein - 2021 - theses.hal.science
Autonomous unmanned aerial vehicles (UAVs), spurred by rapid innovation in drone
hardware and regulatory frameworks during the last decade, are envisioned for a multitude …
hardware and regulatory frameworks during the last decade, are envisioned for a multitude …