Precoding; MIMO; Zero-forcing; satellite; communications; signal processing; convex optimization; modulaton
Résumé :
[en] The practical utilization of the symbol-level precoding in MIMO systems is challenging since the implementation of the sophisticated optimization algorithms must be done with reasonable computational resources. In the real implementation of MIMO precoding systems, the processing time for each set of symbols is a crucial parameter, especially in the high-throughput mode. In this work, a symbol-level optimization algorithm with reduced complexity is devised. Performance of a symbol-level precoder is shown to improve in terms of the processing times per set of symbols.
Centre de recherche :
Interdisciplinary Centre for Security, Reliability and Trust
Disciplines :
Sciences informatiques
Auteur, co-auteur :
KRIVOCHIZA, Jevgenij ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
KALANTARI, Ashkan ; 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)
KRIVOCHIZA, Jevgenij ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Co-auteurs externes :
no
Langue du document :
Anglais
Titre :
Low Complexity Symbol-Level Design for Linear Precoding Systems
Date de publication/diffusion :
11 mai 2017
Nom de la manifestation :
2017 Symposium on Information Theory and Signal Processing in the Benelux
Organisateur de la manifestation :
Delft University of Technology
Lieu de la manifestation :
Delft, Pays-Bas
Date de la manifestation :
from 11-05-2017 to 12-05-2017
Manifestation à portée :
International
Titre de l'ouvrage principal :
PROCEEDINGS of the 2017 Symposium on Information Theory and Signal Processing in the Benelux
Auteur, co-auteur :
Heusdens, Richard
Weber, Jos H.
Maison d'édition :
Delft University of Technology, Delft, Pays-Bas
ISBN/EAN :
9789461868114
Pagination :
117
Peer reviewed :
Peer reviewed
Focus Area :
Computational Sciences
Projet FnR :
FNR11481283 - End-to-end Signal Processing Algorithms For Precoded Satellite Communications, 2016 (01/03/2017-28/02/2021) - Jevgenij Krivochiza
Intitulé du projet de recherche :
End-to-end Signal Processing Algorithms for Precoded Satellite Communications
