Toward autonomous multi-UAV wireless network: A survey of reinforcement learning-based approaches

Y Bai, H Zhao, X Zhang, Z Chang… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
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 …

Reinforcement learning in the sky: A survey on enabling intelligence in ntn-based communications

T Naous, M Itani, M Awad, S Sharafeddine - IEEE Access, 2023 - ieeexplore.ieee.org
Non terrestrial networks (NTN) involving 'in the sky'objects such as low-earth orbit satellites,
high altitude platform systems (HAPs) and Unmanned Aerial Vehicles (UAVs) are expected …

Joint power allocation and 3D deployment for UAV-BSs: A game theory based deep reinforcement learning approach

S Fu, X Feng, A Sultana, L Zhao - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Ultra-dense unmanned aerial vehicle (UAV) plays an important role in the field of
communications due to its flexibility and low-cost feature. Ultra-dense unnamed aerial …

Dynamic role switching scheme with joint trajectory and power control for multi-UAV cooperative secure communication

A Gao, Q Wang, Y Hu, W Liang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Due to the high flexibility and mobility, unmanned aerial vehicles (UAVs) can be deployed
as aerial relays touring to serve ground users (GUs), especially when the ground base …

Secure Offloading With Adversarial Multi-Agent Reinforcement Learning Against Intelligent Eavesdroppers in UAV-Enabled Mobile Edge Computing

X Li, W Huangfu, X Xu, J Huo… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Mobile edge computing (MEC) has attracted widespread attention due to its ability to
effectively alleviate the cloud computing load and significantly reduce latency. However, the …

Hybrid UAV-enabled secure offloading via deep reinforcement learning

S Yoo, S Jeong, J Kang - IEEE Wireless Communications …, 2023 - ieeexplore.ieee.org
In this letter, we consider a secure offloading system consisting of a unmanned aerial
vehicle (UAV)-mounted edge server, ground user equipments (UEs) and a malicious …

Secure Uplink Transmission Against Multi-Intelligent Eavesdroppers With Time-Domain Artificial Noise in MIMO IoT Systems

Y Wu, Y Huo, Q Gao, J Mao, Z Yang… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Physical-layer security (PLS) has become an intriguing technology to address
eavesdrop** issues in Internet of Things (IoT) systems owing to its low complexity and …

A survey on security of UAV and deep reinforcement learning

BS Sarıkaya, Ş Bahtiyar - Ad Hoc Networks, 2024 - Elsevier
Recently, the use of unmanned aerial vehicles (UAV) s for accomplishing various tasks has
gained a significant interest from both civilian and military organizations due to their …

Game-theoretic and learning-aided physical layer security for multiple intelligent eavesdroppers

Y Wu, Y Huo, Q Gao, Y Wu, X Li - 2022 IEEE Globecom …, 2022 - ieeexplore.ieee.org
Artificial Intelligence (AI) technology is develo** rapidly, permeating every aspect of
human life. Although the integration between AI and communication contributes to the …

Primal-Dual Deep Reinforcement Learning for Periodic Coverage-Assisted UAV Secure Communications

Y Qin, Z **ng, X Li, Z Zhang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Considering the UAVs' energy constraints and green communication requirements, this
paper proposes a periodic coverage-assisted UAV secure communication system to …