Multi-agent deep reinforcement learning for task offloading in UAV-assisted mobile edge computing

N Zhao, Z Ye, Y Pei, YC Liang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Mobile edge computing can effectively reduce service latency and improve service quality
by offloading computation-intensive tasks to the edges of wireless networks. Due to the …

Computation offloading optimization for UAV-assisted mobile edge computing: a deep deterministic policy gradient approach

Y Wang, W Fang, Y Ding, N Xiong - Wireless Networks, 2021 - Springer
Abstract Unmanned Aerial Vehicle (UAV) can play an important role in wireless systems as it
can be deployed flexibly to help improve coverage and quality of communication. In this …

Intelligent task offloading and collaborative computation in multi-UAV-enabled mobile edge computing

J Xia, P Wang, B Li, Z Fei - China Communications, 2022 - ieeexplore.ieee.org
This article establishes a three-tier mobile edge computing (MEC) network, which takes into
account the cooperation between unmanned aerial vehicles (UAVs). In this MEC network …

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 …

Unmanned-aerial-vehicle-assisted computation offloading for mobile edge computing based on deep reinforcement learning

H Wang, H Ke, W Sun - IEEE Access, 2020 - ieeexplore.ieee.org
Users in heterogeneous wireless networks may generate massive amounts of data that are
delay-sensitive or require computation-intensive processing. Owing to computation ability …

Deep reinforcement learning-based computation offloading in uav swarm-enabled edge computing for surveillance applications

SMA Huda, S Moh - IEEE Access, 2023 - ieeexplore.ieee.org
The rapid development of the Internet of Things and wireless communication has resulted in
the emergence of many latency-constrained and computation-intensive applications such as …

Learning-based computation offloading approaches in UAVs-assisted edge computing

S Zhu, L Gui, D Zhao, N Cheng… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Technological evolutions in unmanned aerial vehicle (UAV) industry have granted UAVs
more computing and storage resources, leading to the vision of UAVs-assisted edge …

Joint task offloading and resource allocation in UAV-enabled mobile edge computing

Z Yu, Y Gong, S Gong, Y Guo - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
Mobile edge computing (MEC) is an emerging technology to support resource-intensive yet
delay-sensitive applications using small cloud-computing platforms deployed at the mobile …

Multi-objective deep reinforcement learning for computation offloading in UAV-assisted multi-access edge computing

X Liu, ZY Chai, YL Li, YY Cheng, Y Zeng - Information Sciences, 2023 - Elsevier
Unmanned aerial vehicle-assisted multi-access edge computing (UAV-MEC) plays an
important role in some complex environments such as mountainous and disaster areas …

Priority-aware resource scheduling for UAV-mounted mobile edge computing networks

W Zhou, L Fan, F Zhou, F Li, X Lei, W Xu… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
In this paper, we investigate the joint impact of task priority and mobile computing service on
the mobile edge computing (MEC) networks, in which one unmanned aerial vehicle (UAV) …