Deep reinforcement learning enabled UAV-IRS-assisted secure mobile edge computing network

Y Zhang, J Li, G Mu, X Chen - Physical Communication, 2023 - Elsevier
The deployment of intelligent reflecting surfaces (IRS) on dynamically moving unmanned
aerial vehicles (UAVs) can enhance the communication performance of mobile edge …

Maximizing the average secrecy rate for UAV-assisted MEC: A DRL method

L Jing, X Jia, Y Lv, N Wan - 2021 IEEE 5th Advanced …, 2021 - ieeexplore.ieee.org
In the unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) system where
eavesdropper existed, UAV was faced with the problem of secure communication when …

Online edge learning offloading and resource management for UAV-assisted MEC secure communications

Y Ding, Y Feng, W Lu, S Zheng, N Zhao… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
The mobile and flexible unmanned aerial vehicle (UAV) with mobile edge computing (MEC)
can effectively relieve the computing pressure of the massive data traffic in 5G Internet of …

Dinkelbach-guided deep reinforcement learning for secure communication in UAV-aided MEC networks

W Lu, Y Ding, Y Feng, G Huang, N Zhao… - … 2022-2022 IEEE …, 2022 - ieeexplore.ieee.org
Unmanned aerial vehicle-aided (UAV-aided) mobile edge computing (MEC) network can
greatly reduce the data growth pressure of Internet of Things (IoT) and expand the wireless …

Secure transmission for multi-UAV-assisted mobile edge computing based on reinforcement learning

W Lu, Y Mo, Y Feng, Y Gao, N Zhao… - … on Network Science …, 2022 - ieeexplore.ieee.org
UAV communication has received widespread attention in MEC systems due to its high
flexibility and line-of-sight transmission. Users can reduce their local computing pressures …

Deep reinforcement learning based IRS-assisted mobile edge computing under physical-layer security

L Zhang, S Lai, J Xia, C Gao, D Fan, J Ou - Physical Communication, 2022 - Elsevier
In this paper, we investigate an intelligent reflecting surface (IRS)-assisted mobile edge
computing (MEC) network under physical-layer security, where users can partially offload …

DDQN-Based Trajectory and Resource Optimization for UAV-Aided MEC Secure Communications

Y Ding, H Han, W Lu, Y Wang, N Zhao… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) have been emerged as cost-effective platforms to extend
the coverage of mobile edge computing (MEC) system. However, the broadcast and line-of …

RIS Assisted Eavesdropping Avoidance for UAV Communication

Z Sun, J Sun, Z Wang, D Zhang, H Li… - 2023 42nd Chinese …, 2023 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV) is a promising application in the field of wireless
communications, where it can serve as a temporary base station to ground users. However …

[HTML][HTML] Deep reinforcement learning aided secure UAV communications in the presence of moving eavesdroppers

G Su, M Dai, B Chen, X Lin - Journal of King Saud University-Computer and …, 2024 - Elsevier
Integrating unmanned aerial vehicles (UAVs) with wireless systems is widely anticipated to
bring enormous benefits to network users, and is considered as a key enabling technology …

Joint trajectory and passive beamforming design for intelligent reflecting surface-aided UAV communications: A deep reinforcement learning approach

L Wang, K Wang, C Pan… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In this paper, the intelligent reflecting surface (IRS)-aided unmanned aerial vehicle (UAV)
communication system is studied, where the UAV is deployed to serve the user equipment …