[HTML][HTML] Scheduling optimization for UAV communication coverage using virtual force-based PSO model
J Sun, W Wang, S Li, Q Da, L Chen - Digital Communications and Networks, 2023 - Elsevier
When the ground communication base stations in the target area are severely destroyed, the
deployment of Unmanned Aerial Vehicle (UAV) ad hoc networks can provide people with …
deployment of Unmanned Aerial Vehicle (UAV) ad hoc networks can provide people with …
Joint UAVs' load balancing and UEs' data rate fairness optimization by diffusion UAV deployment algorithm in multi-UAV networks
Unmanned aerial vehicles (UAVs) can be deployed as base stations (BSs) for emergency
communications of user equipments (UEs) in 5G/6G networks. In multi-UAV communication …
communications of user equipments (UEs) in 5G/6G networks. In multi-UAV communication …
An Improved Proximal Policy Optimization Method for Low-Level Control of a Quadrotor
W Xue, H Wu, H Ye, S Shao - Actuators, 2022 - mdpi.com
In this paper, a novel deep reinforcement learning algorithm based on Proximal Policy
Optimization (PPO) is proposed to achieve the fixed point flight control of a quadrotor. The …
Optimization (PPO) is proposed to achieve the fixed point flight control of a quadrotor. The …
A mean-field game control for large-scale swarm formation flight in dense environments
G Wang, W Yao, X Zhang, Z Li - Sensors, 2022 - mdpi.com
As an important part of cyberphysical systems (CPSs), multiple aerial drone systems are
widely used in various scenarios, and research scenarios are becoming increasingly …
widely used in various scenarios, and research scenarios are becoming increasingly …
Sobel potential field: Addressing responsive demands for uav path planning techniques
Dealing with the trade-off challenge between computation speed and path quality has been
a high-priority research area in the robotic path planning field during the last few years …
a high-priority research area in the robotic path planning field during the last few years …
Neural Myerson Auction for Truthful and Distributed Mobile Charging in UAV-Assisted Digital-Twin Networks
Realizing digital-twin services is one of promising applications in 6 G mobile communication
and network scenarios. In addition, the use of unmanned aerial vehicles (UAVs) is essential …
and network scenarios. In addition, the use of unmanned aerial vehicles (UAVs) is essential …
An Improved Four‐Rotor UAV Autonomous Navigation Multisensor Fusion Depth Learning
L Liu, Y Wu, G Fu, C Zhou - Wireless Communications and …, 2022 - Wiley Online Library
Whether it is for military or civilian use, quadrotor UAV has always been one of research
central issues. Most of the current quadrotor drones are manually operated and use GPS …
central issues. Most of the current quadrotor drones are manually operated and use GPS …
Converging Game Theory and Reinforcement Learning For Industrial Internet of Things
The fifth-generation (5G) wireless network provides high-rate, ultra-low latency, and high-
reliability connections that can meet the Industrial Internet of Things (IIoT) requirements in …
reliability connections that can meet the Industrial Internet of Things (IIoT) requirements in …
Joint Trajectory Control, Frequency Allocation, and Routing for UAV Swarm Networks: A Multi-Agent Deep Reinforcement Learning Approach
Collaborative unmanned aerial vehicle (UAV) swarm networks can effectively execute
various emerging missions such as surveillance and communication coverage. However …
various emerging missions such as surveillance and communication coverage. However …
UAV-assisted fair communications for multi-pair users: A multi-agent deep reinforcement learning method
X Luo, J Xie, L Xiong, Z Wang, Y Liu - Computer Networks, 2024 - Elsevier
Unmanned aerial vehicle (UAV) plays an important role in scenarios like search and rescue,
remote communication relay, battlefield mobile networks, etc. In this paper, we investigate …
remote communication relay, battlefield mobile networks, etc. In this paper, we investigate …