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Paper Abstract and Keywords
Presentation 2011-08-26 14:15
MIMO Signal Detection Using Multi-Dimensional Search and Quantization by Lattice Reduction
Kengo Kobayashi, Kazuhiko Fukawa, Liming Zheng, Hiroshi Suzuki, Satoshi Suyama (Tokyo Tech) RCS2011-131
Abstract (in Japanese) (See Japanese page) 
(in English) For multiple-input multiple-output (MIMO) communications, the optimal signal detection is the maximum likelihood detection (MLD). Unfortunately, the computational complexity of MLD is prohibitive when the modulation order and the number of transmit antennas are large. Thus, suboptimal signal detection algorithms that aim to reduce the complexity while keeping almost the same bit error rate (BER) as MLD have been studied. As such a suboptimal signal detection algorithm, multi-dimensional search (MDS) sets a minimum mean-square error (MMSE) detection result to a starting point, and searches for signal candidates in multi-dimensions of the noise enhancement from which the MMSE detection suffers. However, the BER of MDS degrades seriously under a highly spatially correlated MIMO channel condition. To alleviate such degradation, this report proposes a new algorithm that introduces quantization by lattice reduction (LR) into MDS. Computer simulations demonstrate that the proposed method can maintain excellent BER performance even over a highly spatially correlated MIMO channel.
Keyword (in Japanese) (See Japanese page) 
(in English) MIMO / signal detection / lattice reduction / MMSE / noise enhancement / multi-dimensional search / /  
Reference Info. IEICE Tech. Rep., vol. 111, no. 180, RCS2011-131, pp. 111-116, Aug. 2011.
Paper # RCS2011-131 
Date of Issue 2011-08-18 (RCS) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
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Conference Information
Committee RCS SAT  
Conference Date 2011-08-25 - 2011-08-26 
Place (in Japanese) (See Japanese page) 
Place (in English) Niigata Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Special session on coding techniques, Mobile Satellite Communications, Broadcasting, Error Correction, Wireless Communication Systems, etc. 
Paper Information
Registration To RCS 
Conference Code 2011-08-RCS-SAT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) MIMO Signal Detection Using Multi-Dimensional Search and Quantization by Lattice Reduction 
Sub Title (in English)  
Keyword(1) MIMO  
Keyword(2) signal detection  
Keyword(3) lattice reduction  
Keyword(4) MMSE  
Keyword(5) noise enhancement  
Keyword(6) multi-dimensional search  
1st Author's Name Kengo Kobayashi  
1st Author's Affiliation Tokyo Institute of Technology (Tokyo Tech)
2nd Author's Name Kazuhiko Fukawa  
2nd Author's Affiliation Tokyo Institute of Technology (Tokyo Tech)
3rd Author's Name Liming Zheng  
3rd Author's Affiliation Tokyo Institute of Technology (Tokyo Tech)
4th Author's Name Hiroshi Suzuki  
4th Author's Affiliation Tokyo Institute of Technology (Tokyo Tech)
5th Author's Name Satoshi Suyama  
5th Author's Affiliation Tokyo Institute of Technology (Tokyo Tech)
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Date Time 2011-08-26 14:15:00 
Presentation Time 25 
Registration for RCS 
Paper # IEICE-RCS2011-131 
Volume (vol) IEICE-111 
Number (no) no.180 
Page pp.111-116 
#Pages IEICE-6 
Date of Issue IEICE-RCS-2011-08-18 

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