Reference : Optimal V-BLAST Ordering in Fast Rayleigh Fading: A Linear Assignment Problem

	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Computer science Engineering, computing & technology : Computer science
	To cite this reference:	http://hdl.handle.net/10993/7509

Title :	Optimal V-BLAST Ordering in Fast Rayleigh Fading: A Linear Assignment Problem
Language :	English
Author, co-author :	Järmyr, Simon [> >]
	Ottersten, Björn [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Jorswieck, Eduard [> >]
Publication date :	2011
Main document title :	Signal Processing Advances in Wireless Communications (SPAWC), 2011 IEEE 12th International Workshop on
Publisher :	IEEE
Pages :	366-370
Peer reviewed :	Yes
Audience :	International
ISBN :	978-1-4244-9333-3
Event name :	Proceedings IEEE Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
Event date :	26-29 June 2011
Event place (city) :	San Francisco, CA
Event country :	USA
Abstract :	[en] We explore a novel approach to perform decoding-order optimization in the vertical Bell Labs layered space-time (V-BLAST) architecture. Allowing for simultaneous transmission of multiple, separately encoded data streams, the V-BLAST transmit-receive scheme applies to the uplink of a multi-user communication system. A multi-antenna receiver decodes data streams successively, dealing with inter-stream interference by means of cancelling and nulling; interference from previously decoded streams is cancelled by subtraction, and remaining interference is nulled by linear equalization. The order in which the streams are decoded can have a noticeable impact on system performance. We consider the optimization of a fixed decoding order in fast Rayleigh fading, based on long-term channel-fading parameters. For a wide range of performance measures, we show that the fast-fading ordering problem can be treated as a classical linear assignment problem, allowing a solution using existing, efficient algorithms.
Target :	Others
Permalink :	http://hdl.handle.net/10993/7509
DOI :	10.1109/SPAWC.2011.5990431

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