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 …
被引用次数：20 相关文章

User association and power allocation for UAV-assisted networks: A distributed reinforcement learning approach

X Guan, Y Huang, C Dong, Q Wu - China Communications, 2020 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) can be employed as aerial base stations (BSs) due to
their high mobility and flexible deployment. This paper focuses on a UAV-assisted wireless …
被引用次数：21 相关文章 所有 3 个版本
[PDF] mcgill.ca

Deep reinforcement learning-based resource allocation in cooperative UAV-assisted wireless networks

P Luong, F Gagnon, LN Tran… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
We consider the downlink of an unmanned aerial vehicle (UAV) assisted cellular network
consisting of multiple cooperative UAVs, whose operations are coordinated by a central …
被引用次数：62 相关文章 所有 5 个版本
[PDF] ieee.org

Trajectory design and resource allocation for multi-UAV networks: Deep reinforcement learning approaches

Z Chang, H Deng, L You, G Min, S Garg… - … on Network Science …, 2022 - ieeexplore.ieee.org
The future mobile communication system is expected to provide ubiquitous connectivity and
unprecedented services over billions of devices. The unmanned aerial vehicle (UAV), which …
被引用次数：22 相关文章 所有 4 个版本

Resource allocation and trajectory design in UAV-aided cellular networks based on multiagent reinforcement learning

S Yin, FR Yu - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
In this article, we focus on a downlink cellular network, where multiple unmanned aerial
vehicles (UAVs) serve as aerial base stations for ground users through frequency-division …
被引用次数：64 相关文章
[PDF] ieee.org

Multi-agent reinforcement learning-based resource allocation for UAV networks

J Cui, Y Liu, A Nallanathan - IEEE Transactions on Wireless …, 2019 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) are capable of serving as aerial base stations (BSs) for
providing both cost-effective and on-demand wireless communications. This article …
被引用次数：447 相关文章 所有 5 个版本
[PDF] ieee.org

Multi-agent deep reinforcement learning for trajectory design and power allocation in multi-UAV networks

N Zhao, Z Liu, Y Cheng - IEEE Access, 2020 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV) is regarded as an effective technology in future wireless
networks. However, due to the non-convexity feature of joint trajectory design and power …
被引用次数：56 相关文章 所有 3 个版本

Multiagent Q-Learning-Based Multi-UAV Wireless Networks for Maximizing Energy Efficiency: Deployment and Power Control Strategy Design

S Lee, H Yu, H Lee - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
In air-to-ground communications, the network lifetime depends on the operation time of
unmanned aerial vehicle-base stations (UAV-BSs) owing to the restricted battery capacity …
被引用次数：52 相关文章 所有 2 个版本
[PDF] arxiv.org

Bayesian optimization enhanced deep reinforcement learning for trajectory planning and network formation in multi-UAV networks

S Gong, M Wang, B Gu, W Zhang… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
In this paper, we employ multiple UAVs coordinated by a base station (BS) to help the
ground users (GUs) to offload their sensing data. Different UAVs can adapt their trajectories …
被引用次数：19 相关文章 所有 6 个版本

Deep reinforcement learning based resource allocation and trajectory planning in integrated sensing and communications UAV network

Y Qin, Z Zhang, X Li, W Huangfu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In this paper, multi-UAVs serve as mobile aerial ISAC platforms to sense and communicate
with on-ground target users. To optimize the communication and sensing performance, we …
被引用次数：19 相关文章 所有 2 个版本