Resource allocation and offloading strategy for UAV-assisted LEO satellite edge computing

H Zhang, S Xi, H Jiang, Q Shen, B Shang, J Wang - Drones, 2023 - mdpi.com
In emergency situations, such as earthquakes, landslides and other natural disasters, the
terrestrial communications infrastructure is severely disrupted and unable to provide …

Satellite-MEC Integration for 6G Internet of Things: Minimal Structures, Advances, and Prospects

Y Lin, W Feng, Y Wang, Y Chen, Y Zhu… - IEEE Open Journal …, 2024 - ieeexplore.ieee.org
The sixth-generation (6G) network is envisioned to shift its focus from the service
requirements of human beings to those of Internet-of-Things (IoT) devices. Satellite …

Computation Offloading Optimization in Satellite-Terrestrial Integrated Networks via Offline Deep Reinforcement Learning

B Xie, H Cui, P Cao, Y He… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
As the demand for global Internet connectivity continues to grow, the satellite-terrestrial
integrated networks (STINs) have become more and more crucial for expanding the service …

Joint Computation Offloading and Resource Allocation for LEO Satellite Networks Using Hierarchical Multi-Agent Reinforcement Learning

J Lai, H Liu, G Xu, W Jiang, X Wang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The integration of edge computing with LEO satellite broadband networks (LSBNs) offers a
transformative potential, yet remains underexplored in the optimization of joint computation …

Utility optimization for computation offloading and splitting in time-varying HAP and LEO satellite integrated MEC networks

R Zhang, J Zhang, X Wang, W Shi - Computer Networks, 2024 - Elsevier
To provide ubiquitous and low-latency communication and computation services for remote
and disaster areas, high altitude platform (HAP) and low earth orbit (LEO) satellite integrated …

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 …

一种基于DRL 的低轨卫星移动边缘计算卸载策略.

杨黎明, 金宇峰, 黄淼 - Telecommunication Engineering, 2024 - search.ebscohost.com
考虑到不同用户任务和计算能力差异, 并综合低地球轨道(Low Earth Orbit, LEO)
卫星移动和资源限制等因素, 针对多颗LEO 卫星覆盖场景下的多用户任务决策卸载问题 …

Resource Allocation in LEO Satellites assisted Terrestrial Network for Latency-Sensitive Task

Q Wang, S Chen, J Zong, B Feng… - … and Mobile Computing …, 2024 - ieeexplore.ieee.org
Low Earth Orbit (LEO) is the supplement of the terrestrial network, it has the advantages of
low latency and high bandwidth compared to Geostationary Earth Orbit (GEO). LEO can …

Inter-Satellite Resource Balancing Based on Genetic Algorithm in Terrestrial-Satellite Networks

C Han, Y Song, X Li, H Ji… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
In recent years, the advancement of satellite networks has facilitated the provision of
compute-intensive services to users, typically accomplished by allocating relevant resources …

A Satellite-Terrestrial Integrated Network Architecture Based on Stateless Core Network

S Huang, L Wang, X Wen, Y Liu… - 2023 9th International …, 2023 - ieeexplore.ieee.org
Comprehensive coverage is a natural advantage of satellites, and loading the functions of
base station on satellites can expand the service range of Satellite-Terrestrial Integrated …