Hybrid Multi-Agent Deep Reinforcement Learning for Active-IRS-Based Rate Maximization Over 6G UAV Mobile Wireless Networks
S Yi, F Wang, X Zhang - MILCOM 2023-2023 IEEE Military …, 2023 - ieeexplore.ieee.org
Intelligent reflecting surface (IRS) can significantly improve unmanned aerial vehicle (UAV)
communication qualities by reconfiguring or even optimizing wireless propagation …
communication qualities by reconfiguring or even optimizing wireless propagation …
Deep Reinforcement Learning for Secure MEC Service in Vehicular Networks with Reconfigurable Intelligent Surfaces
H Wang, H Bai, Y Ju… - 2023 57th Asilomar …, 2023 - ieeexplore.ieee.org
The broadcasting nature of wireless signals may result in the task offloading process of
mobile edge computing (MEC) suffering serious information leakage. As a novel technology …
mobile edge computing (MEC) suffering serious information leakage. As a novel technology …
Securing the Skies: An IRS-Assisted AoI-Aware Secure Multi-UAV System with Efficient Task Offloading
Unmanned Aerial Vehicles (UAVs) are integral in various sectors like agriculture,
surveillance, and logistics, driven by advancements in 5G. However, existing research lacks …
surveillance, and logistics, driven by advancements in 5G. However, existing research lacks …
Energy-Efficient Joint Trajectory and Reflecting Design in IRS-Enabled UAV Edge Computing
Z Huang, Z Kuang, S Lin, F Hou… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Intelligent reflecting surface (IRS) enabled unmanned aerial vehicle (UAV) edge computing,
a new communication technology, can provide sufficient capacity for edge computing …
a new communication technology, can provide sufficient capacity for edge computing …
A security optimization scheme for data security transmission in UAV-assisted edge networks based on federal learning
H Zhang, J Xue, Q Wang, Y Li - Ad Hoc Networks, 2023 - Elsevier
To solve the problem that mobile users cannot handle all data tasks by themselves due to
the huge amount of data at present, this paper proposes a four-layer model of efficient and …
the huge amount of data at present, this paper proposes a four-layer model of efficient and …
Secrecy capacity maximization for a UAV-assisted MEC system
D Han, T Shi - China Communications, 2020 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV) communication has attracted wide attentions in the mobile
edge computing (MEC) system owing to its high-flexibility and simple operation auxiliary …
edge computing (MEC) system owing to its high-flexibility and simple operation auxiliary …
A hybrid secure resource allocation and trajectory optimization approach for mobile edge computing using federated learning based on WEB 3.0
The use of unmanned aerial vehicles (UAVs) in Internet-of-Things (IoT) has grown, but
security for UAV communications still a challenge due to the distributed nature of line-of …
security for UAV communications still a challenge due to the distributed nature of line-of …
Task Scheduling and Trajectory Optimization Based on Fairness and Communication Security for Multi-UAV-MEC System
Y He, K Xiang, X Cao, M Guizani - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) show significant potential in enhancing communication
services within the mobile edge computing (MEC) system by taking their advantages on the …
services within the mobile edge computing (MEC) system by taking their advantages on the …
Secure communication with UAV-enabled aerial RIS: Learning trajectory with reflection optimization
Reconfigurable intelligent surfaces (RISs) have manifested huge potential in enhancing
information security by actively intervening the wireless propagation, yet the security gain …
information security by actively intervening the wireless propagation, yet the security gain …
RIS-assisted jamming rejection and path planning for UAV-borne IoT platform: A new deep reinforcement learning framework
This article presents a new deep reinforcement learning (DRL)-based approach to the
trajectory planning and jamming rejection of an unmanned aerial vehicle (UAV) for the …
trajectory planning and jamming rejection of an unmanned aerial vehicle (UAV) for the …