Reference : Onboard Processing in Satellite Communications Using AI Accelerators

	Document type :	Scientific journals : Article
	Discipline(s) :	Engineering, computing & technology : Electrical & electronics engineering
	Focus Areas :	Security, Reliability and Trust
	To cite this reference:	http://hdl.handle.net/10993/54478

Title :	Onboard Processing in Satellite Communications Using AI Accelerators
Language :	English
Author, co-author :	Ortiz Gomez, Flor de Guadalupe [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom >]
	Monzon Baeza, Victor [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom >]
	Garces Socarras, Luis Manuel [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 >]
	Fontanesi, Gianluca [Nokia]
	Lagunas, Eva [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom >]
	Querol, Jorge [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom >]
	Chatzinotas, Symeon [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom >]
Publication date :	13-Jan-2023
Journal title :	Aerospace
Publisher :	MDPI
Volume :	10
Issue/season :	2
Special issue title :	On-Board Systems Design for Aerospace Vehicles
Peer reviewed :	Yes
Audience :	International
e-ISSN :	2226-4310
City :	Basel
Country :	Switzerland
Keywords :	[en] satellite communications ; artificial intelligence ; onboard process
Abstract :	[en] Satellite communication (SatCom) systems operations centers currently require high human intervention, which leads to increased operational expenditure (OPEX) and implicit latency in human action that causes degradation in the quality of service (QoS). Consequently, new SatCom systems leverage artificial intelligence and machine learning (AI/ML) to provide higher levels of autonomy and control. Onboard processing for advanced AI/ML algorithms, especially deep learning algorithms, requires an improvement of several magnitudes in computing power compared to what is available with legacy, radiation-tolerant, space-grade processors in space vehicles today. The next generation of onboard AI/ML space processors will likely include a diverse landscape of heterogeneous systems. This manuscript identifies the key requirements for onboard AI/ML processing, defines a reference architecture, evaluates different use case scenarios, and assesses the hardware landscape for current and next-generation space AI processors.
Research centres :	University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >
Funders :	European Space Agency - ESA ; Fonds National de la Recherche - FnR
Name of the research project :	SmartSpace and SPAICE
Target :	Researchers ; Professionals ; Students ; General public
Permalink :	http://hdl.handle.net/10993/54478
DOI :	10.3390/aerospace10020101
Other URL :	https://www.mdpi.com/2226-4310/10/2/101
FnR project :	FnR ; FNR16193290 > Eva Lagunas > SmartSpace > Leveraging Artificial Intelligence To Empower The Next Generation Of Satellite Communications > 01/04/2022 > 31/03/2025 > 2021

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