NDLI: Complex lattice reduction algorithms for low-complexity MIMO detection

Content Provider	IEEE Xplore Digital Library
Author	Ying Hung Gan Wai How Mow
Copyright Year	2005
Description	Author affiliation: Dept. of Electr. & Electron. Eng., Hong Kong Univ. of Sci. & Technol. (Ying Hung Gan; Wai How Mow)
Abstract	Recently, lattice-reduction-aided detectors have been proposed for multiple-input multiple-output (MIMO) systems to give performance with full diversity like maximum likelihood receiver yet with complexity similar to linear receiver. However, these lattice-reduction-aided detectors are based on the traditional LLL reduction algorithm that was originally introduced for reducing real lattice basis, even though the channel matrices are inherently complex-valued. In this paper, we introduce the complex LLL algorithm for direct application to the channel matrix which naturally defines the basis of a complex lattice. Simulation results reveal that the new complex LLL algorithm can achieve a saving in complexity of nearly 50% over the traditional LLL algorithm, when applied to MIMO detection. We also show that the algorithm can further be accelerated by pre-ordering the basis vectors prior to the lattice reduction. It is noteworthy that the complex LLL algorithms aforementioned incur negligible bit-error-rate performance loss relative to the traditional LLL algorithm
Starting Page	5
Ending Page	2957
File Size	140827
Page Count	2953
File Format	PDF
ISBN	0780394143
DOI	10.1109/GLOCOM.2005.1578299
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-11-28
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Lattices MIMO Detectors Maximum likelihood detection Telephony Acceleration Fading Gallium nitride Brain modeling Performance loss
Content Type	Text
Resource Type	Article

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