Adaptive computation offloading policy for multi-access edge computing in heterogeneous wireless networks

H Ke, H Wang, W Sun, H Sun - IEEE Transactions on Network …, 2021 - ieeexplore.ieee.org
In heterogeneous wireless networks, massive mobile terminals randomly generate a large
number of computation tasks (payloads). How to better manage these mobile terminals …

Joint computation and communication design for UAV-assisted mobile edge computing in IoT

T Zhang, Y Xu, J Loo, D Yang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) system is a
prominent concept, where a UAV equipped with an MEC server is deployed to serve a …

Task and bandwidth allocation for UAV-assisted mobile edge computing with trajectory design

X Hu, KK Wong, K Yang, Z Zheng - 2019 IEEE Global …, 2019 - ieeexplore.ieee.org
In this paper, we investigate a mobile edge computing (MEC) architecture with the
assistance of an unmanned aerial vehicle (UAV). The UAV acts as a computing server to …

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 …

Joint optimization task offloading and trajectory control for unmanned-aerial-vehicle-assisted mobile edge computing

F Xu, S Wang, W Su, L Zhang - Computers and Electrical Engineering, 2023 - Elsevier
Abstract The appearance of Mobile Edge Computing (MEC) and Unmanned Aerial Vehicle
(UAV) is significant for the future progress of the Internet of Things (IoT). Since the system …

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 …

Machine learning based joint offloading and trajectory design in UAV based MEC system for IoT devices

X Ma, C Yin, X Liu - 2020 IEEE 6th International Conference on …, 2020 - ieeexplore.ieee.org
In this paper, we consider an unmanned aerial vehicle (UAV)-based mobile edge computing
(MEC) system for Internet of Things devices (IoTDs), in which the mobile UAV equipped with …

Enabling efficient scheduling in large-scale UAV-assisted mobile-edge computing via hierarchical reinforcement learning

T Ren, J Niu, B Dai, X Liu, Z Hu, M Xu… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Due to the high maneuverability and flexibility, unmanned aerial vehicles (UAVs) have been
considered as a promising paradigm to assist mobile edge computing (MEC) in many …

Collaboration in the sky: A distributed framework for task offloading and resource allocation in multi-access edge computing

YK Tun, TN Dang, K Kim, M Alsenwi… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
Recently, unmanned aerial vehicles (UAVs)-assisted multi-access edge computing (MEC)
systems emerged as a promising solution for providing computation services to mobile users …

Joint resource and trajectory optimization for heterogeneous-UAVs enabled aerial-ground cooperative computing networks

H Hu, Z Chen, F Zhou, Z Han… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The unmanned aerial vehicle (UAV) enabled mobile edge computing (MEC) is a promising
paradigm for providing extensive coverage and additional computation services to the …