Deep Learning for Beam Hopping in Multibeam Satellite Systems

Reference : Deep Learning for Beam Hopping in Multibeam Satellite Systems


	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Electrical & electronics engineering
	Focus Areas :	Computational Sciences
	To cite this reference:	http://hdl.handle.net/10993/42944

Title :	Deep Learning for Beam Hopping in Multibeam Satellite Systems
Language :	English
Author, co-author :	Lei, Lei [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Lagunas, Eva [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Yuan, Yaxiong [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > >]
	Kibria, Mirza [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Chatzinotas, Symeon [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Ottersten, Björn [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Publication date :	May-2020
Main document title :	IEEE 91st Vehicular Technology Conference (VTC2020-Spring)
Peer reviewed :	Yes
Event name :	IEEE 91st Vehicular Technology Conference (VTC2020-Spring)
Event date :	25-28 May 2020
Funders :	European Space Agency - ESA
Name of the research project :	SATNEX IV
Permalink :	http://hdl.handle.net/10993/42944
Framework Programme / European Project :	H2020 ; 742648 - AGNOSTIC - Actively Enhanced Cognition based Framework for Design of Complex Systems
FnR project :	FnR ; FNR11632107 > Lei Lei > ROSETTA > Resource Optimization for Integrated Satellite-5G Networks with Non-Orthogonal Multiple Access > 01/09/2018 > 31/08/2021 > 2017; FNR CORE FlexSAT

File(s) associated to this reference

Fulltext file(s):

	File	Commentary	Version	Size	Access
Open access	PID1245906.pdf		Author postprint	540.06 kB	View/Open

All documents in ORBi^lu are protected by a user license.