Deep Q-learning aided networking, caching, and computing resources allocation in software-defined satellite-terrestrial networks

C Qiu, H Yao, FR Yu, F Xu… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
With the development of satellite networks, there is an emerging trend to integrate satellite
networks with terrestrial networks, called satellite-terrestrial networks (STNs). The …

Double-edge intelligent integrated satellite terrestrial networks

J Zhang, X Zhang, P Wang, L Liu… - China …, 2020 - ieeexplore.ieee.org
The efficient integration of satellite and terrestrial networks has become an important
component for 6G wireless architectures to provide highly reliable and secure connectivity …

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 …

The next generation heterogeneous satellite communication networks: Integration of resource management and deep reinforcement learning

B Deng, C Jiang, H Yao, S Guo… - IEEE Wireless …, 2019 - ieeexplore.ieee.org
This article proposes an innovative resource management framework for the next generation
heterogeneous satellite networks (HSNs), which can achieve cooperation between …

Deep reinforcement learning based joint edge resource management in maritime network

F Xu, F Yang, C Zhao, S Wu - China Communications, 2020 - ieeexplore.ieee.org
Due to the rapid development of the maritime networks, there has been a growing demand
for computation-intensive applications which have various energy consumption …

Joint computing and communication resource allocation for satellite communication networks with edge computing

S Zhang, G Cui, Y Long, W Wang - China Communications, 2021 - ieeexplore.ieee.org
Benefit from the enhanced onboard processing capacities and high-speed satellite-
terrestrial links, satellite edge computing has been regarded as a promising technique to …

Reinforcement learning based capacity management in multi-layer satellite networks

C Jiang, X Zhu - IEEE Transactions on Wireless …, 2020 - ieeexplore.ieee.org
The development of satellite networks is drawing much more attention in recent years due to
the wide coverage ability. Composed of geosynchronous orbit (GEO), medium earth orbit …

Machine learning-based resource allocation in satellite networks supporting internet of remote things

D Zhou, M Sheng, Y Wang, J Li… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Satellite networks have been regarded as a promising architecture for supporting the
Internet of remote things (IoRT) due to their advantages of wide coverage and high …

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 multi-resource allocation in terrestrial-satellite network towards 6G

S Fu, J Gao, L Zhao - IEEE Transactions on Wireless …, 2021 - ieeexplore.ieee.org
Terrestrial-satellite networks (TSNs) are envisioned to play a significant role in the sixth-
generation (6G) wireless networks. In such networks, hot air balloons are useful as they can …