Multi-Objective Optimization in Air-to-Air Communication System Based on Multi-Agent Deep Reinforcement Learning
S Lin, Y Chen, S Li - Sensors, 2023 - mdpi.com
With the advantages of real-time data processing and flexible deployment, unmanned aerial
vehicle (UAV)-assisted mobile edge computing systems are widely used in both civil and …
vehicle (UAV)-assisted mobile edge computing systems are widely used in both civil and …
Joint UAV 3D Trajectory Design and Resource Scheduling for Space-Air-Ground Integrated Power IoRT: A Deep Reinforcement Learning Approach
J Liu, X Zhao, P Qin, F Du, Z Chen… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The terrain-independent space-air-ground integrated power Internet of Remote Things (SAG-
PIoRT) is able to bring efficient communication services with seamless coverage for sensors …
PIoRT) is able to bring efficient communication services with seamless coverage for sensors …
Resource Management Based on Deep Reinforcement Learning for UAV Communication Considering Power-Consumption Outage
J LUO, Q CHEN, L TANG, Z ZHANG - 电子与信息学报, 2023 - jeit.ac.cn
Recent research has demonstrated that the temperature variation of smartphone caused by
high data rate transmission could affect the corresponding performance on transmission …
high data rate transmission could affect the corresponding performance on transmission …
Federated learning for intelligent transmission with space-air-ground integrated network toward 6G
The future intelligent devices requires ultra-low communication delay and high QoS
requirement for the following beyond-5G network. Space-air-ground Integrated Network …
requirement for the following beyond-5G network. Space-air-ground Integrated Network …
A deep reinforcement learning-based dynamic traffic offloading in space-air-ground integrated networks (SAGIN)
Space-Air-Ground Integrated Networks (SAGIN) is considered as the key structure of the
next generation network. The space satellites and air nodes are the potential candidates to …
next generation network. The space satellites and air nodes are the potential candidates to …
Intelligent Gateway Selection and User Scheduling in Non-Stationary Air-Ground Networks
With space, air and ground multiple layers, space-air-ground integrated networks (SAGINs)
have been emerging as a promising technology to improve coverage and quality of service …
have been emerging as a promising technology to improve coverage and quality of service …
Trajectory design and access control for air–ground coordinated communications system with multiagent deep reinforcement learning
Unmanned-aerial-vehicle (UAV)-assisted communications has attracted increasing attention
recently. This article investigates air–ground coordinated communications system, in which …
recently. This article investigates air–ground coordinated communications system, in which …
AI-based mobility-aware energy efficient resource allocation and trajectory design for NFV enabled aerial networks
M Pourghasemian, MR Abedi… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
In this paper, we propose a novel joint intelligent trajectory design and resource allocation
algorithm based on users' mobility and their requested services for unmanned aerial …
algorithm based on users' mobility and their requested services for unmanned aerial …
Decentralized trajectory and power control based on multi-agent deep reinforcement learning in UAV networks
Unmanned aerial vehicles (UAVs) are capable of enhancing the coverage of existing
cellular networks by acting as aerial base stations (ABSs). Due to the limited on-board …
cellular networks by acting as aerial base stations (ABSs). Due to the limited on-board …
Intelligent Hierarchical Admission Control for Low-Earth Orbit Satellites Based on Deep Reinforcement Learning
D Wei, C Guo, L Yang - Sensors, 2023 - mdpi.com
Low-Earth orbit (LEO) satellites have limited on-board resources, user terminals are
unevenly distributed in the constantly changing coverage area, and the service …
unevenly distributed in the constantly changing coverage area, and the service …