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Paper Abstract and Keywords
Presentation 2019-06-21 15:00
Channel Estimation and Data Detection for Grant-Free Multiple Access Using Vector Approximate Message Passing
Takanori Hara, Koji Ishibashi (The Univ. of Electro-Communications) RCS2019-96
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we propose joint channel estimation (CE) and multiuser detection (MUD) for the grant-free non-orthogonal multiple access (GF-NOMA). Conventional scheme converts the original sparse reconstruction with multiple vectors into that with single block-sparse vector and solves the reconstruction problem by block sparsity adaptive subspace pursuit (BSASP). Although BSASP can achieve the superior performance, its computational complexity is significantly high, and the properly-tuned thresholds are required for each signal-to-noise ratio (SNR). We show that our proposal enables to perform an effective CE and MUD applying multiple measurement vector approximate message passing (MMV-AMP) to the original sparse reconstruction with multiple vectors. Computer simulations confirm that the performance of our proposal is comparable with that of the conventional scheme while lower computational complexity.
Keyword (in Japanese) (See Japanese page) 
(in English) Grant-free non-orthogonal multiple access / channel estimation / compressed sensing / approximate message passing / / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 90, RCS2019-96, pp. 347-352, June 2019.
Paper # RCS2019-96 
Date of Issue 2019-06-12 (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 RCS2019-96

Conference Information
Committee RCS  
Conference Date 2019-06-19 - 2019-06-21 
Place (in Japanese) (See Japanese page) 
Place (in English) Miyakojima Hirara Port Terminal Building 
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 2019-06-RCS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Channel Estimation and Data Detection for Grant-Free Multiple Access Using Vector Approximate Message Passing 
Sub Title (in English)  
Keyword(1) Grant-free non-orthogonal multiple access  
Keyword(2) channel estimation  
Keyword(3) compressed sensing  
Keyword(4) approximate message passing  
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1st Author's Name Takanori Hara  
1st Author's Affiliation The University of Electro-Communications (The Univ. of Electro-Communications)
2nd Author's Name Koji Ishibashi  
2nd Author's Affiliation The University of Electro-Communications (The Univ. of Electro-Communications)
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Speaker Author-1 
Date Time 2019-06-21 15:00:00 
Presentation Time 25 minutes 
Registration for RCS 
Paper # RCS2019-96 
Volume (vol) vol.119 
Number (no) no.90 
Page pp.347-352 
#Pages 6 
Date of Issue 2019-06-12 (RCS) 

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