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Paper Abstract and Keywords
Presentation 2018-07-13 15:50
A Fundamental Study on Large-Scale SCMA Signal Detection Using GaBP
Renjie Li, Toshihiko Nishimura, Takeo Ohgane, Yasutaka Ogawa, Junichiro Hagiwara (Hokkaido Univ.) RCS2018-127
Abstract (in Japanese) (See Japanese page) 
(in English) SCMA has attracted attention as a brand-new communication technology that is suitable for device-to-device communications. In an SCMA system, every terminal transmits OFDM symbols carrying a few information bits according to its own sparse codebook. Sparseness of the codebooks enables to detect multiplexed signals even when many devices access simultaneously. In general, message passing algorithm (MPA) is used for signal detection. Gaussian belief propagation (GaBP), which is a kind of MPA, is suitable to detect massive signals with low complexity. In this paper, we evaluated the signal detection performance of GaBP in massive access situations. The simulation results show that good performance is obtained in dense codebook cases when the frequency correlation is low, and that more devices provide less bit error rate if the ratio of the subcarriers to devices is fixed.
Keyword (in Japanese) (See Japanese page) 
(in English) SCMA / Massive access / Gaussian BP / / / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 125, RCS2018-127, pp. 237-242, July 2018.
Paper # RCS2018-127 
Date of Issue 2018-07-04 (RCS) 
ISSN 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 RCS2018-127

Conference Information
Committee ASN NS RCS SR RCC  
Conference Date 2018-07-11 - 2018-07-13 
Place (in Japanese) (See Japanese page) 
Place (in English) Hakodate Arena 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Wireless Distributed Network, Machine Learning and AI for Wireless Communications and Networks, M2M (Machine-to-Machine), D2D (Device-to-Device), IoT（Internet of Things）, etc. 
Paper Information
Registration To RCS 
Conference Code 2018-07-ASN-NS-RCS-SR-RCC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Fundamental Study on Large-Scale SCMA Signal Detection Using GaBP 
Sub Title (in English)  
Keyword(1) SCMA  
Keyword(2) Massive access  
Keyword(3) Gaussian BP  
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1st Author's Name Renjie Li  
1st Author's Affiliation Hokkaido University (Hokkaido Univ.)
2nd Author's Name Toshihiko Nishimura  
2nd Author's Affiliation Hokkaido University (Hokkaido Univ.)
3rd Author's Name Takeo Ohgane  
3rd Author's Affiliation Hokkaido University (Hokkaido Univ.)
4th Author's Name Yasutaka Ogawa  
4th Author's Affiliation Hokkaido University (Hokkaido Univ.)
5th Author's Name Junichiro Hagiwara  
5th Author's Affiliation Hokkaido University (Hokkaido Univ.)
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Speaker Author-1 
Date Time 2018-07-13 15:50:00 
Presentation Time 25 minutes 
Registration for RCS 
Paper # RCS2018-127 
Volume (vol) vol.118 
Number (no) no.125 
Page pp.237-242 
#Pages 6 
Date of Issue 2018-07-04 (RCS) 

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