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Paper Abstract and Keywords
Presentation 2017-01-19 15:45
A Study on Low-Complexity MIMO Detection Based on Stochastic Generalized Belief Propagation
Akihide David Shigyo, Shogo Tanabe, Koji Ishibashi (Univ. of Electro-Communications) IT2016-75 SIP2016-113 RCS2016-265
Abstract (in Japanese) (See Japanese page) 
(in English) As an efficient multi-input multi-output (MIMO) detection, a belief propagation (BP) has been actively studied. BP-based MIMO detection can efficiently estimate transmitted signals by passing messages (beliefs) on a factor graph defined by MIMO channel matrix. Because of existence of many loops in factor graph, its detection performance is even worse than maximum-likelihood detection (MLD) and exhibits the error floor. QR-decomposed generalized BP (QR-GBP) enables to calculate nearly-exact marginal probabilities on a valid region graph consisting of sets of multiple nodes in a factor graph. However, its computational complexity increases exponentially as the number of antennas and/or modulation level. In this paper, we apply stochastic approach to message-updates of QR-GBP to reduce its computational complexity. Numerical results show that our proposed MIMO detection based on QR-decomposed stochastic GBP (QR-SGBP) can achieve the same performance with QR-GBP while reducing the complexity.
Keyword (in Japanese) (See Japanese page) 
(in English) MIMO systems / belief propagation (BP) / generalized belief propagation (GBP) / stochastic generalized belief propagation (SGBP) / region graph / / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 396, RCS2016-265, pp. 171-176, Jan. 2017.
Paper # RCS2016-265 
Date of Issue 2017-01-12 (IT, SIP, RCS) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
and
reproduction		 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)
Download PDF IT2016-75 SIP2016-113 RCS2016-265

Conference Information
Committee IT SIP RCS  
Conference Date 2017-01-19 - 2017-01-20 
Place (in Japanese) (See Japanese page) 
Place (in English) Osaka City Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Signal Processing for Wireless Communications, Learning, Mathematical Science, Communication Theory, etc. 
Paper Information
Registration To RCS 
Conference Code 2017-01-IT-SIP-RCS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study on Low-Complexity MIMO Detection Based on Stochastic Generalized Belief Propagation 
Sub Title (in English)  
Keyword(1) MIMO systems  
Keyword(2) belief propagation (BP)  
Keyword(3) generalized belief propagation (GBP)  
Keyword(4) stochastic generalized belief propagation (SGBP)  
Keyword(5) region graph  
Keyword(6)  
Keyword(7)  
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1st Author's Name Akihide David Shigyo  
1st Author's Affiliation University of Electro-Communications (Univ. of Electro-Communications)
2nd Author's Name Shogo Tanabe  
2nd Author's Affiliation University of Electro-Communications (Univ. of Electro-Communications)
3rd Author's Name Koji Ishibashi  
3rd Author's Affiliation University of Electro-Communications (Univ. of Electro-Communications)
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Speaker Author-3 
Date Time 2017-01-19 15:45:00 
Presentation Time 25 minutes 
Registration for RCS 
Paper # IT2016-75, SIP2016-113, RCS2016-265 
Volume (vol) vol.116 
Number (no) no.394(IT), no.395(SIP), no.396(RCS) 
Page pp.171-176 
#Pages 6 
Date of Issue 2017-01-12 (IT, SIP, RCS) 

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