[en] 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 chips for
on-board 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 application of AI-capable COTS chips in onboard
SATCOM contexts.
Research center :
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > SIGCOM - Signal Processing & Communications
Disciplines :
Electrical & electronics engineering
Author, co-author :
GARCES SOCARRAS, Luis Manuel ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
NIK, Amirhossein ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
ORTIZ GOMEZ, Flor de Guadalupe ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
VASQUEZ-PERALVO, Juan Andres ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
GONZALEZ RIOS, Jorge Luis ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
CHEHAITLY, Mouhamad ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom