A review of 6G autonomous intelligent transportation systems: Mechanisms, applications and challenges

X Deng, L Wang, J Gui, P Jiang, X Chen, F Zeng… - Journal of Systems …, 2023 - Elsevier
Thanks to the explosive evolution of 6G, Artificial intelligence, Blockchain, Cloud computing,
Data, and Edge computing (6G+ ABCDE), it is possible to make Intelligent Transportation …

Reinforcement learning in spacecraft control applications: Advances, prospects, and challenges

M Tipaldi, R Iervolino, PR Massenio - Annual Reviews in Control, 2022 - Elsevier
This paper presents and analyzes Reinforcement Learning (RL) based approaches to solve
spacecraft control problems. Different application fields are considered, eg, guidance …

Future space networks: Toward the next giant leap for humankind

MY Abdelsadek, AU Chaudhry… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Due to the unprecedented advances in satellite fabrication and deployment, innovative
communications and networking technologies, ambitious space projects and programs, and …

INTERLINK: A digital twin-assisted storage strategy for satellite-terrestrial networks

L Zhao, C Wang, K Zhao, D Tarchi… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Recently, low-orbit satellite networks have gained lots of attention from the society due to
their wide coverage, low transmission latency, and storage and computing capacity …

A survey of next-generation computing technologies in space-air-ground integrated networks

Z Shen, J **, C Tan, A Tagami, S Wang, Q Li… - ACM Computing …, 2023 - dl.acm.org
Space-air-ground integrated networks (SAGINs) are key elements for facilitating high-speed
seamless connectivity to the devices/users in infrastructure-less environments, where the …

Dynamic routings in satellite networks: An overview

X Cao, Y Li, X **ong, J Wang - Sensors, 2022 - mdpi.com
The Satellite network is an important part of the global network. However, the complex
architecture, changeable constellation topology, and frequent inter-satellite connection …

DR-SDSN: An elastic differentiated routing framework for software-defined satellite networks

B Feng, Y Huang, A Tian, H Wang… - IEEE Wireless …, 2022 - ieeexplore.ieee.org
Software-defined satellite networking (SDSN) has recently gained unprecedented attention
due to its great controllability for traffic delivery. However, it is still facing several fundamental …

Multi-commodity flow routing for large-scale LEO satellite networks using deep reinforcement learning

KC Tsai, L Fan, LC Wang, R Lent… - 2022 IEEE Wireless …, 2022 - ieeexplore.ieee.org
With the explosive growth of low earth orbit (LEO) satellite networks, such as Starlink,
satellite communication has lower latency and can achieve high-speed transmission than …

Dynamic routing for integrated satellite-terrestrial networks: A constrained multi-agent reinforcement learning approach

Y Lyu, H Hu, R Fan, Z Liu, J An… - IEEE Journal on Selected …, 2024 - ieeexplore.ieee.org
The integrated satellite-terrestrial network (ISTN) system has experienced significant growth,
offering seamless communication services in remote areas with limited terrestrial …

Battery-aware energy optimization for satellite edge computing

Q Li, S Wang, X Ma, A Zhou, Y Wang… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Satellite edge computing can incur dramatically increased energy demand onboard, which
is met by satellite batteries during eclipses. Excessive energy usage during regular …