Towards autonomous multi-UAV wireless network: A survey of reinforcement learning-based approaches
Unmanned aerial vehicle (UAV)-based wireless networks have received increasing
research interest in recent years and are gradually being utilized in various aspects of our …
research interest in recent years and are gradually being utilized in various aspects of our …
Machine learning-aided operations and communications of unmanned aerial vehicles: A contemporary survey
Over the past decade, Unmanned Aerial Vehicles (UAVs) have provided pervasive, efficient,
and cost-effective solutions for data collection and communications. Their excellent mobility …
and cost-effective solutions for data collection and communications. Their excellent mobility …
Deep reinforcement learning based latency minimization for mobile edge computing with virtualization in maritime UAV communication network
Y Liu, J Yan, X Zhao - IEEE Transactions on Vehicular …, 2022 - ieeexplore.ieee.org
The rapid development of maritime activities has led to the emergence of more and more
computation-intensive applications. In order to meet the huge demand for wireless …
computation-intensive applications. In order to meet the huge demand for wireless …
Multi-agent reinforcement learning aided intelligent UAV swarm for target tracking
Past few years have witnessed the widespread adoption of unmanned aerial vehicles
(UAVs) in target tracking for regional monitor and strike. Most existing target tracking …
(UAVs) in target tracking for regional monitor and strike. Most existing target tracking …
UAV trajectory planning in wireless sensor networks for energy consumption minimization by deep reinforcement learning
Unmanned aerial vehicles (UAVs) have emerged as a promising candidate solution for data
collection of large-scale wireless sensor networks (WSNs). In this paper, we investigate a …
collection of large-scale wireless sensor networks (WSNs). In this paper, we investigate a …
Deep reinforcement learning based dynamic trajectory control for UAV-assisted mobile edge computing
In this paper, we consider a platform of flying mobile edge computing (F-MEC), where
unmanned aerial vehicles (UAVs) serve as equipment providing computation resource, and …
unmanned aerial vehicles (UAVs) serve as equipment providing computation resource, and …
Resource scheduling based on deep reinforcement learning in UAV assisted emergency communication networks
Unmanned aerial vehicle (UAV) assisted emergency communication is an important
technique for future B5G/6G scenario. The UAV is usually considered as a mobile relay to …
technique for future B5G/6G scenario. The UAV is usually considered as a mobile relay to …
Artificial intelligence for UAV-enabled wireless networks: A survey
Unmanned aerial vehicles (UAVs) are considered as one of the promising technologies for
the next-generation wireless communication networks. Their mobility and their ability to …
the next-generation wireless communication networks. Their mobility and their ability to …
Trajectory design for UAV-based Internet of Things data collection: A deep reinforcement learning approach
In this article, we investigate an unmanned aerial vehicle (UAV)-assisted Internet of Things
(IoT) system in a sophisticated 3-D environment, where the UAV's trajectory is optimized to …
(IoT) system in a sophisticated 3-D environment, where the UAV's trajectory is optimized to …
Aerial intelligent reflecting surface-enabled terahertz covert communications in beyond-5G Internet of Things
Unmanned aerial vehicles (UAVs) are envisioned to be extensively employed for assisting
wireless communications in the Internet of Things (IoT). On the other hand, terahertz (THz) …
wireless communications in the Internet of Things (IoT). On the other hand, terahertz (THz) …