Artificial Intelligence Satellite Telecommunication Testbed using Commercial Off-The-Shelf Chipsets
Abstrak
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.
Topik & Kata Kunci
Penulis (16)
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
Akses Cepat
- Tahun Terbit
- 2024
- Bahasa
- en
- Sumber Database
- arXiv
- Akses
- Open Access ✓