Service provisioning for UAV-enabled mobile edge computing

Y Qu, H Dai, H Wang, C Dong, F Wu… - IEEE Journal on …, 2021 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV)-enabled mobile edge computing has been recognized as a
promising technology to flexibly and efficiently handle computation-intensive and latency …

Computation efficiency maximization for UAV-assisted relaying and MEC networks in urban environment

L Wang, Q Zhou, Y Shen - IEEE Transactions on Green …, 2022 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV)-assisted relaying and mobile edge computing (MEC)
networks is a popular and promising technology to provide high-quality computation service …

Deep reinforcement learning based latency minimization for mobile edge computing with virtualization in maritime UAV communication network

Y Liu, J Yan, X Zhao - IEEE Transactions on Vehicular …, 2022 - ieeexplore.ieee.org
The rapid development of maritime activities has led to the emergence of more and more
computation-intensive applications. In order to meet the huge demand for wireless …

A load-balanced and energy-efficient navigation scheme for UAV-mounted mobile edge computing

Z Wang, H Rong, H Jiang, Z Xiao… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
With the development of Unmanned Aerial Vehicles (UAVs) in recent years, UAV-mounted
Mobile Edge Computing (MEC) systems are widely used for broadband connectivity and …

Joint deployment and task scheduling optimization for large-scale mobile users in multi-UAV-enabled mobile edge computing

Y Wang, ZY Ru, K Wang… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
This article establishes a new multiunmanned aerial vehicle (multi-UAV)-enabled mobile
edge computing (MEC) system, where a number of unmanned aerial vehicles (UAVs) are …

Deep reinforcement learning based path planning for UAV-assisted edge computing networks

Y Peng, Y Liu, H Zhang - 2021 IEEE Wireless Communications …, 2021 - ieeexplore.ieee.org
Mobile edge computing (MEC) harvests the computation capability at the network edge to
perform the computation intensive tasks for diverse IoT applications. Meanwhile, the …

Energy-efficient resource management in UAV-assisted mobile edge computing

YK Tun, YM Park, NH Tran, W Saad… - IEEE …, 2020 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) have been deployed to enhance the network capacity
and provide services to mobile users with or without infrastructure coverage. At the same …

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 …

Collaborative computation offloading in the multi-UAV fleeted mobile edge computing network via connected dominating set

X Qi, J Chong, Q Zhang, Z Yang - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In these years, Unmanned Aerial Vehicle (UAV) is widely employed as a flying server into
the Mobile Edge Computing (MEC) network to carry stochastic computation task offloaded …

Energy minimization for cellular connected aerial edge computing system with binary offloading

H Han, C Zhan, J Lv, C Xu - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
Due to the characteristic of wide coverage, flexible deployment, and low cost, unmanned
aerial vehicles (UAVs) have been employed to provide mobile crowdsensing and edge …