Presentation 2012-03-07
Performance Improvement of Lattice-Reduction-Aided MIMO Detector with Soft Output Generation
Daisuke NOJIMA, Leonardo LANANTE, Yuhei NAGAO, Masayuki KUROSAKI, Hiroshi OCHI,
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Abstract(in English) Recently, Lattice Reduction Aided (LRA) Detection has attracted the attention of many researchers. As a Multiple-Input Multiple-Output (MIMO) decoder, it offers similar decoding accuracy as Maximum-Likelihood Detection (MLD) but with relatively lower complexity. In real systems, LRA-Detection is combined with forward error correction coding to further improve its performance. In order to obtain a higher error correction effect, soft-output LRA-Detection using the Log-Likelihood Ratio (LLR) has been studied. Conventional methods for soft-output generation in MIMO-OFDM systems are not optimal. This is because it does not consider the noise enhancement component which differs in each subcarrier. In this paper, we propose a soft-output LRA-Detection method by considering the noise enhancement component per subcarrier. We show the superiority of our proposed algorithm in IEEE 802.11ac next generation wireless LAN based systems through computer simulations.
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Keyword(in English) MIMO / OFDM / LRA-Detection / Soft Decision Decoder / IEEE 802.11ac
Paper # RCS2011-319
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Conference Information
Committee RCS
Conference Date 2012/2/29(1days)
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Registration To Radio Communication Systems (RCS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Performance Improvement of Lattice-Reduction-Aided MIMO Detector with Soft Output Generation
Sub Title (in English)
Keyword(1) MIMO
Keyword(2) OFDM
Keyword(3) LRA-Detection
Keyword(4) Soft Decision Decoder
Keyword(5) IEEE 802.11ac
1st Author's Name Daisuke NOJIMA
1st Author's Affiliation Graduate School of Computer Science and Systems Engineering, Kyushu Institute of Technology()
2nd Author's Name Leonardo LANANTE
2nd Author's Affiliation Faculty of Computer Science and Systems Engineering, Kyushu Institute of Technology
3rd Author's Name Yuhei NAGAO
3rd Author's Affiliation Faculty of Computer Science and Systems Engineering, Kyushu Institute of Technology
4th Author's Name Masayuki KUROSAKI
4th Author's Affiliation Faculty of Computer Science and Systems Engineering, Kyushu Institute of Technology
5th Author's Name Hiroshi OCHI
5th Author's Affiliation Faculty of Computer Science and Systems Engineering, Kyushu Institute of Technology
Date 2012-03-07
Paper # RCS2011-319
Volume (vol) vol.111
Number (no) 451
Page pp.pp.-
#Pages 6
Date of Issue