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Paper Abstract and Keywords
Presentation 2018-01-22 11:40
[Encouragement Talk] A Study on Criterion of Adaptively Scaled Belief for Large MIMO Detection Based on Belief Propagation
Takumi Takahashi, Shinsuke Ibi, Seiichi Sampei (Osaka Univ.) IT2017-59 SIP2017-67 RCS2017-273
Abstract (in Japanese) (See Japanese page) 
(in English) This paper proposes a new design criterion of adaptively scaled belief (ASB) in Gaussian belief propagation (GaBP) and probabilistic data association (PDA), especially for large multiuser multiple-input multiple-output (MU-MIMO) detection. In practical MU detection (MUD) scenarios, the most vital issue with regard to improving the iterative convergence property of BP-based algorithms is how to deal with approximation errors due to the fact that the law of large numbers does not work well. As the simplest way to suppress the harmful impacts of approximation errors, a novel adaptive belief scaling is proposed while stabilizing dynamics of random MIMO channels. Finally, the validity of ASB for the BP-based iterative detection is confirmed regarding the suppression of bit error rate (BER) floor level by computer simulations.
Keyword (in Japanese) (See Japanese page) 
(in English) belief propagation / Gaussian belief propagation / probabilistic data association / iterative detection / scaling / large MU-MIMO / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 396, RCS2017-273, pp. 25-30, Jan. 2018.
Paper # RCS2017-273 
Date of Issue 2018-01-15 (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 IT2017-59 SIP2017-67 RCS2017-273

Conference Information
Committee SIP IT RCS  
Conference Date 2018-01-22 - 2018-01-23 
Place (in Japanese) (See Japanese page) 
Place (in English) Sunport Hall Takamatsu 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To RCS 
Conference Code 2018-01-SIP-IT-RCS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study on Criterion of Adaptively Scaled Belief for Large MIMO Detection Based on Belief Propagation 
Sub Title (in English)  
Keyword(1) belief propagation  
Keyword(2) Gaussian belief propagation  
Keyword(3) probabilistic data association  
Keyword(4) iterative detection  
Keyword(5) scaling  
Keyword(6) large MU-MIMO  
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Keyword(8)  
1st Author's Name Takumi Takahashi  
1st Author's Affiliation Osaka University (Osaka Univ.)
2nd Author's Name Shinsuke Ibi  
2nd Author's Affiliation Osaka University (Osaka Univ.)
3rd Author's Name Seiichi Sampei  
3rd Author's Affiliation Osaka University (Osaka Univ.)
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Speaker Author-1 
Date Time 2018-01-22 11:40:00 
Presentation Time 25 minutes 
Registration for RCS 
Paper # IT2017-59, SIP2017-67, RCS2017-273 
Volume (vol) vol.117 
Number (no) no.394(IT), no.395(SIP), no.396(RCS) 
Page pp.25-30 
#Pages 6 
Date of Issue 2018-01-15 (IT, SIP, RCS) 

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