Artificial intelligence for satellite communication and non-terrestrial networks: A survey

G Fontanesi, F Ortíz, E Lagunas, VM Baeza… - arxiv preprint arxiv …, 2023 - arxiv.org
This paper surveys the application and development of Artificial Intelligence (AI) in Satellite
Communication (SatCom) and Non-Terrestrial Networks (NTN). We first present a …

Multi-agent DRL approach for energy-efficient resource allocation in URLLC-enabled grant-free NOMA systems

DD Tran, SK Sharma, VN Ha… - IEEE Open Journal …, 2023 - ieeexplore.ieee.org
Grant-free non-orthogonal multiple access (GF-NOMA) has emerged as a promising access
technology for the fifth generation and beyond wireless networks that enable ultra-reliable …

Artificial Intelligence for Satellite Communication: A Survey

G Fontanesi, F Ortíz, E Lagunas… - … Surveys & Tutorials, 2025 - ieeexplore.ieee.org
This paper provides a comprehensive survey on the application and development of
Artificial Intelligence (AI) and Machine Learning (ML) in satellite communication (SATCOM) …

AI-empowered multiple access for 6G: A survey of spectrum sensing, protocol designs, and optimizations

X Cao, B Yang, K Wang, X Li, Z Yu… - Proceedings of the …, 2024 - ieeexplore.ieee.org
With the rapidly increasing number of bandwidth-intensive terminals capable of intelligent
computing and communication, such as smart devices equipped with shallow neural …

Optimization of grant-free NOMA with multiple configured-grants for mURLLC

Y Liu, Y Deng, M Elkashlan… - IEEE Journal on …, 2022 - ieeexplore.ieee.org
Massive Ultra-Reliable and Low-Latency Communications (mURLLC), which integrates
URLLC with massive access, is emerging as a new and important service class in the next …

Distributed Q-learning aided uplink grant-free NOMA for massive machine-type communications

J Liu, Z Shi, S Zhang, N Kato - IEEE Journal on Selected Areas …, 2021 - ieeexplore.ieee.org
The explosive growth of machine-type communications (MTC) devices poses critical
challenges to the existing cellular networks. Therefore, how to support massive MTC devices …

A learning-based fast uplink grant for massive IoT via support vector machines and long short-term memory

E Eldeeb, M Shehab, H Alves - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
The current random access (RA) allocation techniques suffer from congestion and high
signaling overhead while serving massive machine-type communication (mMTC) …

Q-learning NOMA random access for IoT-satellite terrestrial relay networks

DA Tubiana, J Farhat, G Brante… - IEEE Wireless …, 2022 - ieeexplore.ieee.org
We consider an IoT-satellite terrestrial relay network providing access for a massive quantity
of IoT devices. In order to overcome the difficulties associated with random access over ultra …

A survey on NB-IoT random access: approaches for uplink radio access network congestion management

L Iiyambo, G Hancke, AM Abu-Mahfouz - IEEE Access, 2024 - ieeexplore.ieee.org
Narrowband Internet of Things (NB-IoT) is one of the most promising technologies for
enabling reliable communication among low-power, and low cost devices present in …

Intelligent resource allocation in backscatter-NOMA networks: A soft actor critic framework

A Alajmi, W Ahsan, M Fayaz… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With the use of power domain non-orthogonal multiple access (NOMA) and backscatter
communication (BAC), future sixth-generation ultra-massive machine-type communications …