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Supervised Learning Based Real-Time Adaptive Beamforming On-board Multibeam Satellites
Satellite communications (SatCom) are crucial for global connectivity, especially in the era of emerging technologies like 6G and narrowing the digital divide.
Flexible Payload Configuration for Satellites using Machine Learning
Satellite communications, essential for modern connectivity, extend access to maritime, aeronautical, and remote areas where terrestrial networks are unfeasible.
ML-based PBCH symbol detection and equalization for 5G Non-Terrestrial Networks
This paper delves into the application of Machine Learning (ML) techniques in the realm of 5G Non-Terrestrial Networks (5G-NTN), particularly focusing on symbol detection and equalization for the Physical Broadcast Channel (PBCH).
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