NDLI: A gradient-based ordering for MIMO decoding

Content Provider	IEEE Xplore Digital Library
Author	Trujillo, R.A. Garcia, V.M. Vidal, A.M. Roger, S. Gonzalez, A.
Copyright Year	2009
Description	Author affiliation: Departamento de Sistemas Informáticos y Computación, Universidad Politécnica de Valencia, Spain (Garcia, V.M.; Vidal, A.M.) \|\| Departamento de Técnicas de Programación, Universidad de las Ciencias Informáticas, Havana, Cuba (Trujillo, R.A.) \|\| Departamento de Comunicaciones, Universidad Politécnica de Valencia, Spain (Roger, S.; Gonzalez, A.)
Abstract	The ordering of the columns of the channel matrix has a deep impact in the performance of many decoding methods for MIMO problems. The most popular algorithms for computation of good orderings use as only input the channel matrix (such as the V-BLAST ordering). However, there are other interesting algorithms that compute the ordering as a function of the matrix and of the signal to be decoded. Here we propose a new gradient-based scheme to obtain a good ordering that uses as input the channel matrix and the signal to be decoded. In this paper, this new ordering method is compared experimentally with other algorithms, showing that it is an interesting method, specially in connection with Maximum Likelihood decoding algorithms such as Sphere Decoding algorithms.
Starting Page	5
Ending Page	8
File Size	2850753
Page Count	4
File Format	PDF
ISBN	9781424459490
e-ISBN	9781424459506
DOI	10.1109/ISSPIT.2009.5407546
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-12-14
Publisher Place	United Arab Emirates
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	MIMO Decoding Reordering MIMO systems Sphere Decoding
Content Type	Text
Resource Type	Article

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