Deep reinforcement learning-based task offloading in satellite-terrestrial edge computing networks

D Zhu, H Liu, T Li, J Sun, J Liang… - 2021 IEEE Wireless …, 2021 - ieeexplore.ieee.org
In remote regions (eg, mountain and desert), cellular networks are usually sparsely
deployed or unavailable. With the appearance of new applications (eg, industrial automation …

Satellite-assisted edge computing management based on deep reinforcement learning in industrial internet of things

Y Zhu, D Lu - Computer Networks, 2023 - Elsevier
The insufficient edge computing equipment in remote areas cannot meet explosively
growing computing needs of industrial Internet of things devices, which undoubtedly leads to …

A survey on deep reinforcement learning-driven task offloading in aerial access networks

TH Nguyen, L Park - 2022 13th International Conference on …, 2022 - ieeexplore.ieee.org
Internet of Things computation offloading is a challenging problem, particularly in distant
places where mobile edge computing (MEC) or cloud infrastructure is absent. Fortunately …

[HTML][HTML] Dnns based computation offloading for leo satellite edge computing

J Wu, M Jia, L Zhang, Q Guo - Electronics, 2022 - mdpi.com
Huge low earth orbit (LEO) satellite networks can achieve global coverage with low latency.
In addition, mobile edge computing (MEC) servers can be mounted on LEO satellites to …

Leveraging LEO assisted cloud-edge collaboration for energy efficient computation offloading

Z Tang, H Zhou, T Ma, K Yu… - 2021 IEEE Global …, 2021 - ieeexplore.ieee.org
Mobile edge computing (MEC) has been widely considered as an effective technology to
handle computationally intensive tasks generated by mobile devices. However, the …

Joint multi-task offloading and resource allocation for mobile edge computing systems in satellite IoT

F Chai, Q Zhang, H Yao, X Xin, R Gao… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
For multi-task mobile edge computing (MEC) systems in satellite Internet of Things (IoT),
there are dependencies between different tasks, which need to be collected and jointly …

Cooperative multi-agent deep reinforcement learning for computation offloading in digital twin satellite edge networks

Z Ji, S Wu, C Jiang - IEEE Journal on Selected Areas in …, 2023 - ieeexplore.ieee.org
With the development of commercial off-the-shelf hardware, low Earth orbit (LEO) satellites
are promising to provide flexible edge computing services. In this paper, we investigate a …

Satellite edge computing with collaborative computation offloading: An intelligent deep deterministic policy gradient approach

H Zhang, R Liu, A Kaushik… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Enabling a satellite network with edge computing capabilities can complement the
advantages further of a single terrestrial network and provide users with a full range of …

Resource scheduling and offloading strategy based on LEO satellite edge computing

K Wei, Q Tang, J Guo, M Zeng, Z Fei… - 2021 IEEE 94th …, 2021 - ieeexplore.ieee.org
The Satellite communication network is not limited by geographical factors and is an
indispensable part of global interconnection. This paper analyzes a hybrid of cloud …

[HTML][HTML] Multi-agent deep reinforcement learning-based partial task offloading and resource allocation in edge computing environment

H Ke, H Wang, H Sun - Electronics, 2022 - mdpi.com
In the dense data communication environment of 5G wireless networks, with the dramatic
increase in the amount of request computation tasks generated by intelligent wireless …