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 …

Energy minimization for MEC-enabled cellular-connected UAV: Trajectory optimization and resource scheduling

Z Lv, J Hao, Y Guo - IEEE INFOCOM 2020-IEEE Conference on …, 2020 - ieeexplore.ieee.org
Recent years, under the cooperation of 5G techniques which enables high rate and low
delay communication, cellular-connected unmanned aerial vehicles (UAVs) have attracted …

Computing over the Sky: Joint UAV Trajectory and Task Offloading Scheme Based on Optimization-Embedding Multi-Agent Deep Reinforcement Learning

X Li, X Du, N Zhao, X Wang - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) has emerged to
support computation-intensive tasks in 6G systems. Since the battery capacity of a UAV is …

AoI optimization for UAV-aided MEC networks under channel access attacks: A game theoretic viewpoint

Y Yang, W Wang, R Xu, G Srivastava… - ICC 2022-IEEE …, 2022 - ieeexplore.ieee.org
As a promising enabler for edge intelligence, Unmanned Aerial Vehicles (UAVs) are playing
a more and more important role in Mobile Edge Computing Networks (MECN), such as …

Task offloading and trajectory control for UAV-assisted mobile edge computing using deep reinforcement learning

L Zhang, ZY Zhang, L Min, C Tang, HY Zhang… - IEEE …, 2021 - ieeexplore.ieee.org
Mobile Edge Computing (MEC) has been widely employed to support various Internet of
Things (IoT) and mobile applications. By leveraging the advantages of easily deployed and …

A Deep Reinforcement Learning Based Approach for Optimizing Trajectory and Frequency in Energy Constrained Multi-UAV Assisted MEC System

B Shi, Z Chen, Z Xu - IEEE Transactions on Network and …, 2024 - ieeexplore.ieee.org
Mobile Edge Computing (MEC) is a technology that shows great promise in enhancing the
computational power of smart devices (SDs) in the Internet of Things (IoT). However, the …

Deep Reinforcement Learning Assisted Trajectory Design for UAV Communication Systems Against Malicious Jamming

J Jiao, C Liu, J He, M Peng - 2023 IEEE 23rd International …, 2023 - ieeexplore.ieee.org
In this paper, we propose a novel trajectory design for the unmanned aerial vehicle (UAV)
communication systems, where a single UAV moves along with multiple mobile terres-trial …

Anti-jamming Channel Allocation in UAV-Enabled Edge Computing: A Stackelberg Game Approach

Y Xinwang, X Zhidong, T Xin - 2022 18th International …, 2022 - ieeexplore.ieee.org
In edge computing, terminal devices can offload intensive computing tasks to edge servers
to obtain high-performance computing services with low latency. Introducing unmanned …

Robust resource scheduling for air-ground cooperative mobile edge computing

Y Lu, Y Huang, T Hu - 2021 IEEE/CIC International Conference …, 2021 - ieeexplore.ieee.org
Mobile edge computing (MEC) is a novel technology for enhancing the computation capacity
of user equipment (UEs), by offloading the computation-intensive tasks at UEs to a base …

Joint Trajectory Optimization and Task Offloading for UAV-Assisted Mobile Edge Computing

Y Wang, Y Liu, J Zhang, B Liu - 2023 IEEE 34th Annual …, 2023 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) has been touted as
a promising solution for providing computing services in disaster relief and other settings …