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arXiv · 2405.18297

Artificial Intelligence Satellite Telecommunication Testbed using Commercial Off-The-Shelf Chipsets

Luis M. Garcés-Socarrás·Amirhossein Nik·Flor Ortiz·Juan A. Vásquez-Peralvo·Jorge L. González-Rios·Mouhamad Chehailty·Marcele Kuhfuss·Eva Lagunas·Jan Thoemel·Sumit Kumar·Vishal Singh·Juan C. Merlano Duncan·Sahar Malmir·Swetha Varadajulu·Jorge Querol·Symeon Chatzinotas
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Abstract

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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Luis M. Garcés-Socarrás, Amirhossein Nik, Flor Ortiz, Juan A. Vásquez-Peralvo, Jorge L. González-Rios, Mouhamad Chehailty, Marcele Kuhfuss, Eva Lagunas, Jan Thoemel, Sumit Kumar, Vishal Singh, Juan C. Merlano Duncan, Sahar Malmir, Swetha Varadajulu, Jorge Querol, Symeon Chatzinotas. 2024-05-28. Artificial Intelligence Satellite Telecommunication Testbed using Commercial Off-The-Shelf Chipsets. https://doi.org/10.5281/zenodo.13885551

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