[HTML][HTML] Deep learning techniques for digital satellite communications

F Garbuglia, T Dhaene, D Spina - Applications of deep learning in …, 2022 - biblio.ugent.be
Satellite communication (SatCom) has been in rapid evolution during the last decades. The
rapid growth of space industry is making satellite technologies available to more companies …

Machine learning-based characterization of SNR in digital satellite communication links

B Dhuyvetters, D Delaruelle, H Rogier… - 2021 15th European …, 2021 - ieeexplore.ieee.org
Signals traveling through a Satellite Communication (SatCom) channel are subject to noise
and interference effects, impacting their Signal-to-Noise ratio (SNR). Furthermore, non-linear …

Applications of Deep Learning in Satellite Communication: A Survey

Y He, B Sheng, Y Li, C Wang, X Chen, J Liu - International Conference on …, 2023 - Springer
Satellite communication is a key aspect of future 6G networks, and the impact of artificial
intelligence technology utilizing deep learning on satellite communications has garnered …

Machine Learning and Deep Learning powered satellite communications: Enabling technologies, applications, open challenges, and future research directions

A Bhattacharyya, SM Nambiar, R Ojha… - … Journal of Satellite …, 2023 - Wiley Online Library
The recent wave of creating an interconnected world through satellites has renewed interest
in satellite communications. Private and government‐funded space agencies are making …

Data-driven solutions for digital communications

D Branchevsky, AV Casado, E Grayver… - 2020 IEEE …, 2020 - ieeexplore.ieee.org
In this paper, we show that data-driven communication methods can overcome limitations of
pure model-based designs. Classical communication theory works well with 'ideal'channels …

Deep learning forecasting and statistical modeling for Q/V-band LEO satellite channels

B Al Homssi, CC Chan, K Wang… - … Machine Learning in …, 2023 - ieeexplore.ieee.org
As the number of satellite networks increases, the radio spectrum is becoming more
congested, prompting the need to explore higher frequencies. However, it is more difficult to …

[图书][B] Machine Learning and Intelligent Communications: 5th International Conference, MLICOM 2020, Shenzhen, China, September 26-27, 2020, Proceedings

M Guan, Z Na - 2021 - books.google.com
This volume constitutes the refereed post-conference proceedings of the 5th International
Conference on Machine Learning and Intelligent Communications, MLICOM 2020, held in …

A Survey of Deep/Machine Learning in Maritime Communications

S Sinha, SY Kwon, SH Park - 2023 Fourteenth International …, 2023 - ieeexplore.ieee.org
In recent years Machine learning has begun to show its potential in all domains of life,
including the field of maritime communications. Research on and attempts to use Machine …

Deep Learning Based Channel Estimation in Wireless Communications

SR Mattu - 2024 - etd.iisc.ac.in
Deep learning techniques which employ trained neural networks to solve problems have
witnessed widespread adoption in diverse fields like medicine, architecture, robotics …

Excess attenuation detection in satellite communication channel measurements with deep learning architectures

AJ Roumeliotis, M Kaselimi… - 2023 17th European …, 2023 - ieeexplore.ieee.org
In this paper a robust methodology for detecting excess attenuation events in satellite
communication links is thoroughly investigated and described. The scope is to distinguish …