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Toward 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 …
Reinforcement learning in the sky: A survey on enabling intelligence in ntn-based communications
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 …
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
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 …
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
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 …
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
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 …
effectively alleviate the cloud computing load and significantly reduce latency. However, the …
Hybrid UAV-enabled secure offloading via deep reinforcement learning
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 …
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
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 …
eavesdrop** issues in Internet of Things (IoT) systems owing to its low complexity and …
A survey on security of UAV and deep reinforcement learning
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 …
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
Artificial Intelligence (AI) technology is develo** rapidly, permeating every aspect of
human life. Although the integration between AI and communication contributes to the …
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 …
paper proposes a periodic coverage-assisted UAV secure communication system to …