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 …
UAV formation trajectory planning algorithms: A review
Y Yang, X Xiong, Y Yan - Drones, 2023 - mdpi.com
With the continuous development of UAV technology and swarm intelligence technology, the
UAV formation cooperative mission has attracted wide attention because of its remarkable …
UAV formation cooperative mission has attracted wide attention because of its remarkable …
Cooperative trajectory design of multiple UAV base stations with heterogeneous graph neural networks
Unmanned aerial vehicles as base stations (UAV-BSs) are recognized as effective means
for tackling eruptive communication service requirements especially when terrestrial …
for tackling eruptive communication service requirements especially when terrestrial …
UAV anti-jamming video transmissions with QoE guarantee: A reinforcement learning-based approach
Unmanned aerial vehicles (UAVs) that are widely utilized for video capturing, processing
and transmission have to address jamming attacks with dynamic topology and limited …
and transmission have to address jamming attacks with dynamic topology and limited …
Fairness-based 3-D multi-UAV trajectory optimization in multi-UAV-assisted MEC system
Unmanned aerial vehicles (UAVs)-assisted mobile-edge computing (MEC) communication
system has recently gained increasing attention. In this article, we investigate a 3-D multi …
system has recently gained increasing attention. In this article, we investigate a 3-D multi …
Connectivity-aware 3D UAV path design with deep reinforcement learning
In this paper, we study the three-dimensional (3D) path planning problem for cellular-
connected unmanned aerial vehicle (UAV) taking into account the impact of 3D antenna …
connected unmanned aerial vehicle (UAV) taking into account the impact of 3D antenna …
Scalable and cooperative deep reinforcement learning approaches for multi-UAV systems: A systematic review
In recent years, the use of multiple unmanned aerial vehicles (UAVs) in various applications
has progressively increased thanks to advancements in multi-agent system technology …
has progressively increased thanks to advancements in multi-agent system technology …
Resource allocation in UAV-assisted networks: A clustering-aided reinforcement learning approach
S Zhou, Y Cheng, X Lei, Q Peng… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
As an aerial base station, unmanned aerial vehicle (UAV) has been considered as a
promising technology to assist future wireless communications due to its flexible, swift and …
promising technology to assist future wireless communications due to its flexible, swift and …
Energy-efficient UAV movement control for fair communication coverage: A deep reinforcement learning approach
Unmanned Aerial Vehicles (UAVs) are considered an important element in wireless
communication networks due to their agility, mobility, and ability to be deployed as mobile …
communication networks due to their agility, mobility, and ability to be deployed as mobile …
Unmanned-surface-vehicle-aided maritime data collection using deep reinforcement learning
Employing unmanned surface vehicles (USVs) as marine data collectors is promising for
large-scale environment sensing in remote ocean monitoring network. In this article, we …
large-scale environment sensing in remote ocean monitoring network. In this article, we …