Reference : Low Complexity Symbol-Level Design for Linear Precoding Systems

	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Computer science
	Focus Areas :	Computational Sciences
	To cite this reference:	http://hdl.handle.net/10993/31322

Title :	Low Complexity Symbol-Level Design for Linear Precoding Systems
Language :	English
Author, co-author :	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) > >]
Publication date :	11-May-2017
Main document title :	PROCEEDINGS of the 2017 Symposium on Information Theory and Signal Processing in the Benelux
Author, co-author :	Heusdens, Richard
	Weber, Jos H.
Publisher :	Delft University of Technology
Pages :	117
Peer reviewed :	Yes
Audience :	International
ISBN :	9789461868114
City :	Delft
Country :	Netherlands
Event name :	2017 Symposium on Information Theory and Signal Processing in the Benelux
Event date :	from 11-05-2017 to 12-05-2017
Event organizer :	Delft University of Technology
Event place (city) :	Delft
Event country :	Netherlands
Keywords :	[en] Precoding ; MIMO ; Zero-forcing ; satellite ; communications ; signal processing ; convex optimization ; modulaton
Abstract :	[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.
Research centres :	Interdisciplinary Centre for Security, Reliability and Trust
Funders :	Fonds National de la Recherche - FnR
Name of the research project :	End-to-end Signal Processing Algorithms for Precoded Satellite Communications
Target :	Researchers ; Professionals ; Students
Permalink :	http://hdl.handle.net/10993/31322
FnR project :	FnR ; FNR11481283 > Jevgenij Krivochiza > SigProSat > End-to-end Signal Processing Algorithms for Precoded Satellite Communications > 01/03/2017 > 28/02/2021 > 2016

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