Artificial Intelligence Satellite Telecommunication Testbed using Commercial Off-The-Shelf Chipsets
AI in and for Space (ESA SPAICE 2024) The Artificial Intelligence Satellite Telecommunications Testbed (AISTT), part of the ESA project SPAICE, is focused on the transformation of the satellite payload by using artificial intelligence (AI) and machine learning (ML) methodologies over available comme...
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Main Authors | , , , , , , , , , , , , , , , |
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Format | Journal Article |
Language | English |
Published |
28.05.2024
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Online Access | Get full text |
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Summary: | AI in and for Space (ESA SPAICE 2024) The Artificial Intelligence Satellite Telecommunications Testbed (AISTT),
part of the ESA project SPAICE, is focused on the transformation of the
satellite payload by using artificial intelligence (AI) and machine learning
(ML) methodologies over available commercial off-the-shelf (COTS) AI-capable
chips for onboard processing. The objectives include validating artificial
intelligence-driven SATCOM scenarios such as interference detection, spectrum
sharing, radio resource management, decoding, and beamforming. The study
highlights hardware selection and payload architecture. Preliminary results
show that ML models significantly improve signal quality, spectral efficiency,
and throughput compared to conventional payload. Moreover, the testbed aims to
evaluate the performance and the use of AI-capable COTS chips in onboard SATCOM
contexts. |
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DOI: | 10.48550/arxiv.2405.18297 |