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Deep Learning for Beam Hopping in Multibeam Satellite Systems
LEI, Lei; LAGUNAS, Eva; YUAN, Yaxiong et al.
2020In IEEE 91st Vehicular Technology Conference (VTC2020-Spring)
Peer reviewed
 

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Disciplines :
Electrical & electronics engineering
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)
External co-authors :
yes
Language :
English
Title :
Deep Learning for Beam Hopping in Multibeam Satellite Systems
Publication date :
May 2020
Event name :
IEEE 91st Vehicular Technology Conference (VTC2020-Spring)
Event date :
25-28 May 2020
Main work title :
IEEE 91st Vehicular Technology Conference (VTC2020-Spring)
Peer reviewed :
Peer reviewed
Focus Area :
Computational Sciences
European Projects :
H2020 - 742648 - AGNOSTIC - Actively Enhanced Cognition based Framework for Design of Complex Systems
FnR Project :
FNR11632107 - Resource Optimization For Integrated Satellite-5g Networks With Non-orthogonal Multiple Access, 2017 (01/09/2018-31/08/2021) - Lei Lei
Name of the research project :
SATNEX IV
Funders :
ASE - Agence Spatiale Européenne [FR]
CE - Commission Européenne [BE]
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since 09 April 2020

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