Dynamic Satellite Edge Computing Offloading Algorithm Based On Distributed Deep Learning

J Shuai, H Cui, Y He, M Guizani - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Satellite communication networks with the characteristics of wide coverage, high
deployment flexibility, and seamless communication services can provide communication …

Aerial computing offloading by distributed deep learning in collaborative satellite-terrestrial networks

H Li, C Chen, C Li, L Liu, G Gui - 2021 13th International …, 2021 - ieeexplore.ieee.org
With the rapid development of the Internet of Things (IoT) and its derivative technologies
such as Aerial IoT (AIoT), the number of smart devices and their computing requirements …

Task Offloading and Resource Allocation for Cloud-Edge Collaboration in Low Earth Orbit Satellite Networks

R Zhang, B Zhao - 2023 IEEE 23rd International Conference …, 2023 - ieeexplore.ieee.org
With the rapid advancement of satellite communication technology, integrating decentralized
satellite computing capabilities through low earth orbit (LEO) satellite edge computing has …

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 …

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 …

Task Offloading With Service Migration for Satellite Edge Computing: A Deep Reinforcement Learning Approach

H Wu, X Yang, Z Bu - IEEE Access, 2024 - ieeexplore.ieee.org
Satellite networks with edge computing servers promise to provide ubiquitous and low-
latency computing services for the Internet of Things (IoT) applications in the future satellite …

Distributed deep learning for cooperative computation offloading in low earth orbit satellite networks

Q Tang, Z Fei, B Li - China Communications, 2022 - ieeexplore.ieee.org
Low earth orbit (LEO) satellite network is an important development trend for future mobile
communication systems, which can truly realize the" ubiquitous connection" of the whole …

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 …

DDPG-Based Task Offloading in Satellite-Terrestrial Collaborative Edge Computing Networks

Q Dong, X Xu, S Han, R Liu… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
In remote areas, terrestrial cellular networks are usually sparsely deployed, making it difficult
for the terrestrial base station (TBS) to meet demands of all users. Hybrid satellite-terrestrial …

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 …