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 …

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 …

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 …

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 …

Multi-agent reinforcement learning based computation offloading and resource allocation for LEO Satellite edge computing networks

H Li, J Yu, L Cao, Q Zhang, Z Song, S Hou - Computer Communications, 2024 - Elsevier
Due to the limitations caused by geographical conditions and economic requirements, it is
difficult to provide computing services by terrestrial networks for mobile terminals in remote …

Energy-efficient computation peer offloading in satellite edge computing networks

X Zhang, J Liu, R Zhang, Y Huang… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Recently, MEC has been integrated with satellite networks to process remote terrestrial
computation tasks with superior coverage and delay. Since single satellite computation is …

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 …

Delay optimization for cooperative multi-tier computing in integrated satellite-terrestrial networks

X Zhu, C Jiang - IEEE Journal on Selected Areas in …, 2022 - ieeexplore.ieee.org
The integrated satellite-terrestrial network is promising to provide global broadband
communication service. However, the long propagation delay of satellite-terrestrial links will …

Collaborative Task Offloading Optimization for Satellite Mobile Edge Computing Using Multi-Agent Deep Reinforcement Learning

H Zhang, H Zhao, R Liu, A Kaushik… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Satellite mobile edge computing (SMEC) achieves efficient processing for space missions
by deploying computing servers on low Earth orbit (LEO) satellites, which supplements a …

New bridge to cloud: An ultra-dense LEO assisted green computation offloading approach

Z Tang, K Yu, G Yang, LX Cai… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Mobile edge computing and cloud computing have emerged as effective technologies to
alleviate the increasing computational workload of mobile devices. As a promising enabling …