NDLI: Complexity assessment of sphere decoding methods for MIMO detection

Content Provider	IEEE Xplore Digital Library
Author	Fink, J. Roger, S. Gonzalez, A. Almenar, V. Garciay, V.M.
Copyright Year	2009
Description	Author affiliation: Instituto de Telecomunicaciones y Aplicaciones Multimedia, Universidad Politécnica de Valencia, Spain (Fink, J.; Roger, S.; Gonzalez, A.; Almenar, V.) \|\| Departamento de Sistemas Informáticos y Computación, Universidad Politécnica de Valencia, Spain (Garciay, V.M.)
Abstract	Sphere Decoding (SD) algorithms have been shown to provide maximum likelihood (ML) detection over Gaussian multiple input-multiple output (MIMO) channels with lower complexity than the exhaustive search. These methods are based on a closest lattice point search over a limited search space (hypersphere). There exist several implementations of these algorithms pursuiting different search strategies and working either within a set of real numbers, thus called Real Sphere Decoders (RSD), or performing the search directly within a set of complex numbers, commonly known as Complex Sphere Decoders (CSD). In this paper, a performance comparison between the real and the complex version of the Schnorr-Euchner (SE) sphere decoder has been carried out in order to find out which algorithm is the most suitable depending on the application. Furthermore a recently appeared fixed-complexity version of the SE decoder (FSD) has been evaluated both in terms of complexity and performance and the results have been compared with the original version. In contrast to yet existing complexity analyses, not only the number of visited nodes has been investigated but also the total number of operations.
Starting Page	9
Ending Page	14
File Size	2820245
Page Count	6
File Format	PDF
ISBN	9781424459490
e-ISBN	9781424459506
DOI	10.1109/ISSPIT.2009.5407544
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 Maximum likelihood decoding Detectors Maximum likelihood detection Receiving antennas Lattices Fading Transmitting antennas Baseband Bit error rate
Content Type	Text
Resource Type	Article

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