Q‐learning‐based task offloading strategy for satellite edge computing

J Shuai, B Xie, H Cui, J Wang… - International Journal of …, 2024 - Wiley Online Library
In this paper, we study the task offloading optimization problem in satellite edge computing
environments to reduce the whole communication latency and energy consumption so as to …

Joint Optimization of Task Offloading and Resource Allocation in Satellite-Assisted IoT Networks

J Shi, X Chen, Y Zhang, X Chen… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Satellite edge computing can provide ubiquitous and reliable connectivity to remote or
disaster area networks that are difficult to serve. However, due to the explosive growth of …

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 …

Efficient Resource Management Based on DQN in LEO Satellite Edge Computing System

J Wu, M Jia, Q Guo, X Gu - 2023 IEEE Globecom Workshops …, 2023 - ieeexplore.ieee.org
In this paper, a low earth orbit (LEO) satellite edge computing architecture is proposed by
placing the mobile edge computing (MEC) servers on the LEO satellites to provide …

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 …

Adaptive Task Offloading with Spatiotemporal Load Awareness in Satellite Edge Computing

J Zhou, Y Zhao, L Zhao, H Cai… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Satellite edge computing, as an extension of ground edge computing, is a key technology for
providing computing services by deploying resources on low earth orbit (LEO) satellites …

[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 …

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 …

Mobile Edge Computing Offloading Strategy Based on Deep Reinforcement Learning

X Hui, M Ningling, H Wenting, Z Xianjun - CCF Conference on Computer …, 2023 - Springer
Edge computing is a very good choice to solve the shortage of computing power of mobile
devices (MD), the bandwidth resources and computing power of edge servers are also …

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 …