NDLI: A computationally efficient soft-output Lattice Reduction-aided Selective Spanning Sphere Decoder for wireless MIMO systems

Content Provider	IEEE Xplore Digital Library
Author	Hoang Duy Nguyen Ahmad, U. Min Li Van der Perre, L. Lauwereins, R. Pollin, S.
Copyright Year	2013
Description	Author affiliation: Brussels Sch. of Eng., Univ. Libre de Bruxelles, Brussels, Belgium (Hoang Duy Nguyen) \|\| Interuniv. Micro-Electron. Center (IMEC) vzw, Leuven, Belgium (Ahmad, U.; Min Li; Van der Perre, L.; Lauwereins, R.; Pollin, S.)
Abstract	In recent years, the algorithmic optimizations and implementations of near-optimal Multiple-Input Multiple-Output (MIMO) detectors have been an area of active research. Lattice Reduction (LR) has shown to be a promising technique to improve the performance of linear MIMO detectors. However, LR-aided linear hard-output MIMO detection is still far from optimal. Practical systems use soft-output information to exploit gains from coded systems in order to yield near-optimal performance. In this paper, the LR-aided Selective Spanning Sphere Detection algorithm is proposed as a reduced-complexity candidate list generation method for soft-output MIMO detection, specifically optimized for practical MIMO-OFDM systems. This algorithm uses efficient and scalable heuristics based on simple processor-friendly operations that significantly contribute to lowering the computational complexity of the MIMO detection problem. Results from Monte Carlo simulations reveal that LR-aided SSSD is a promising algorithm that is capable of providing near-optimal performance whilst being especially computationally efficient, in comparison to other algorithms.
Starting Page	786
Ending Page	790
File Size	624444
Page Count	5
File Format	PDF
ISBN	9781467362351
ISSN	21669570
DOI	10.1109/PIMRC.2013.6666243
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-09-08
Publisher Place	UK
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	MIMO Detectors Complexity theory Vectors Lattices Bit error rate Quadrature amplitude modulation Sphere Decoder Lattice Reduction MIMO detection
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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