Joint optimization strategy of offloading in multi-UAVs-assisted edge computing networks

Z Jiang, R Cao, S Zhang - Journal of Ambient Intelligence and Humanized …, 2023 - Springer
Mobile edge computing (MEC) has been developed to solve the problem of insufficient
computing resource of edge user devices. However, it is common that the buildings obstacle …

Cooperative optimisation strategy of computation offloading in multi‐UAVs‐assisted edge computing networks

S Zhang, R Cao, Z Jiang - IET Communications, 2022 - Wiley Online Library
Mobile edge computing has been developed as a promising technology to extend diverse
services to the edge of the Internet of Things system. Motivated by the high flexibility and …

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 …

Joint optimization of computing offloading in multi-uavs-assisted mec system

S Zhang, Z Jiang, R Cao - 2022 IEEE 5th International …, 2022 - ieeexplore.ieee.org
Mobile edge computing (MEC) has been developed as a promising technology to extend
various services to the edge of Internet of things. However, it is difficult to deploy MEC …

Deep Reinforcement Learning-based UAV-assisted Mobile Edge Computing Offloading and Resource Allocation Decision

S Du, X Chen, L Jiao, Y Wang… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
Nowadays, the surge of user data traffic has brought great challenges to the computing and
energy capacity of mobile terminals (MTs). Mobile edge computing (MEC) technology is …

Joint task offloading, resource allocation, and trajectory design for multi-uav cooperative edge computing with task priority

H Hao, C Xu, W Zhang, S Yang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Mobile edge computing (MEC) has emerged as a solution to address the demands of
computation-intensive network services by providing computational capabilities at the …

Resource optimization for UAV-assisted mobile edge computing system based on deep reinforcement learning

F Yu, D Yang, F Wu, Y Wang, H He - Physical Communication, 2023 - Elsevier
Computational efficiency is a direction worth considering in moving edge computing (MEC)
systems. However, the computational efficiency of UAV-assisted MEC systems is rarely …

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 …

Computation Offloading and Trajectory Planning of Multi-UAV-Enabled MEC: A Knowledge-Assisted Multiagent Reinforcement Learning Approach

X Li, Y Qin, J Huo, W Huangfu - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Compared with centralized cloud computing, mobile edge computing (MEC) enables
Internet of Things (IoT) devices to offload computation-intensive tasks to the edge of the …

Multi-Agent Reinforcement Learning in Controlling Offloading Ratio and Trajectory for Multi-UAV Mobile Edge Computing

W Lee, T Kim - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
In this article, a multiunmanned aerial vehicle-mobile-edge computing (UAV-MEC) network
is proposed for mobile devices (MDs) located far from a terrestrial base station (BS)-MEC. In …