Reference : Deep Learning for Beam Hopping in Multibeam Satellite Systems
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Electrical & electronics engineering
Computational Sciences
http://hdl.handle.net/10993/42944
Deep Learning for Beam Hopping in Multibeam Satellite Systems
English
Lei, Lei mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Lagunas, Eva mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Yuan, Yaxiong mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > >]
Kibria, Mirza mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Chatzinotas, Symeon mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Ottersten, Björn mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
May-2020
IEEE 91st Vehicular Technology Conference (VTC2020-Spring)
Yes
IEEE 91st Vehicular Technology Conference (VTC2020-Spring)
25-28 May 2020
European Space Agency - ESA
SATNEX IV
http://hdl.handle.net/10993/42944
H2020 ; 742648 - AGNOSTIC - Actively Enhanced Cognition based Framework for Design of Complex Systems
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

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