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Paper Abstract and Keywords
Presentation 2020-06-26 11:15
A Study on Gaussian Belief Propagation for Sparse Superposition Code in Massive NOMA Detection
Ryuichi Kume, Shinsuke Ibi (Doshisha Univ.), Takumi Takahashi (Osaka Univ.), Hisato Iwai (Doshisha Univ.) RCS2020-45
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we propose an iterative detection strategy of Gaussian belief propagation (GaBP) for non-orthogonal multiple access (NOMA) channels constructed by plural sparse superposition codes (SSC). SSC is one of the powerful error-correcting codes that achieve channel capacity in Gaussian channels. However, the iterative detection sufferers from the ill-convergence property in wireless fading multiple access channels. Although SSC has excellent performance at low coding rates, GaBP's iterative convergence characteristics deteriorate as the coding rate increases, and an error floor occurs in the bit error rate (BER) performance. To alleviate this problem, belief is updated by the node selection method. Besides, we clarify the analogies and differences in terms of the code structure with sparse coded multiple access (SCMA), and then reveal the difference in BER characteristics by computer simulations.
Keyword (in Japanese) (See Japanese page) 
(in English) Sparse Superposition Code / Non-Orthogonal Multiple Access / Gaussian Belief Propagation / Node Selection / Sparse Code Multiple Access / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 74, RCS2020-45, pp. 133-138, June 2020.
Paper # RCS2020-45 
Date of Issue 2020-06-17 (RCS) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
Copyright
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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  
Conference Date 2020-06-24 - 2020-06-26 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) First Presentation in IEICE Technical Committee, Resource Control, Scheduling, Wireless Communications, etc. 
Paper Information
Registration To RCS 
Conference Code 2020-06-RCS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study on Gaussian Belief Propagation for Sparse Superposition Code in Massive NOMA Detection 
Sub Title (in English)  
Keyword(1) Sparse Superposition Code  
Keyword(2) Non-Orthogonal Multiple Access  
Keyword(3) Gaussian Belief Propagation  
Keyword(4) Node Selection  
Keyword(5) Sparse Code Multiple Access  
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1st Author's Name Ryuichi Kume  
1st Author's Affiliation Doshisha University (Doshisha Univ.)
2nd Author's Name Shinsuke Ibi  
2nd Author's Affiliation Doshisha University (Doshisha Univ.)
3rd Author's Name Takumi Takahashi  
3rd Author's Affiliation Osaka University (Osaka Univ.)
4th Author's Name Hisato Iwai  
4th Author's Affiliation Doshisha University (Doshisha Univ.)
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Speaker
Date Time 2020-06-26 11:15:00 
Presentation Time 25 
Registration for RCS 
Paper # IEICE-RCS2020-45 
Volume (vol) IEICE-120 
Number (no) no.74 
Page pp.133-138 
#Pages IEICE-6 
Date of Issue IEICE-RCS-2020-06-17 


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