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 …
Applications of multi-agent reinforcement learning in future internet: A comprehensive survey
Future Internet involves several emerging technologies such as 5G and beyond 5G
networks, vehicular networks, unmanned aerial vehicle (UAV) networks, and Internet of …
networks, vehicular networks, unmanned aerial vehicle (UAV) networks, and Internet of …
Privacy-preserving federated learning for UAV-enabled networks: Learning-based joint scheduling and resource management
Unmanned aerial vehicles (UAVs) are capable of serving as flying base stations (BSs) for
supporting data collection, machine learning (ML) model training, and wireless …
supporting data collection, machine learning (ML) model training, and 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 …
Reinforcement learning-based physical cross-layer security and privacy in 6G
Sixth-generation (6G) cellular systems will have an inherent vulnerability to physical (PHY)-
layer attacks and privacy leakage, due to the large-scale heterogeneous networks with …
layer attacks and privacy leakage, due to the large-scale heterogeneous networks with …
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 …
Topology control algorithms in multi-unmanned aerial vehicle networks: An extensive survey
In recent years, unmanned aerial vehicles (UAVs) have attracted increased attention from
academic and industrial research communities, owing to their wide range of potential …
academic and industrial research communities, owing to their wide range of potential …
Energy-efficient task offloading and resource allocation via deep reinforcement learning for augmented reality in mobile edge networks
X Chen, G Liu - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
The augmented reality (AR) applications have been widely used in the field of Internet of
Things (IoT) because of good immersion experience for users, but their ultralow delay …
Things (IoT) because of good immersion experience for users, but their ultralow delay …
A survey on UAV-aided maritime communications: Deployment considerations, applications, and future challenges
Maritime activities represent a major domain of economic growth with several emerging
maritime Internet of Things use cases, such as smart ports, autonomous navigation, and …
maritime Internet of Things use cases, such as smart ports, autonomous navigation, and …
Federated multiagent actor–critic learning for age sensitive mobile-edge computing
As an emerging technique, mobile-edge computing (MEC) introduces a new scheme for
various distributed communication-computing systems, such as industrial Internet of Things …
various distributed communication-computing systems, such as industrial Internet of Things …