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Paper Abstract and Keywords
Presentation 2022-12-15 16:35
Blind Multiple Measurement Vector Approximate Message Passing for Grant-Free Access
Takanori Hara (Tokyo Univ. of Science), Koji Ishibashi (The Univ. of Electro-Communications) RCS2022-197
Abstract (in Japanese) (See Japanese page) 
(in English) To accommodate a large number of users efficiently, grant-free non-orthogonal multiple access (GF-NOMA) has gained much attention. Although it can support many users while reducing transmission delay significantly thanks to grant-free transmission, the base station has to perform active user detection and channel estimation to recover the transmitted data. Moreover, a scheme to perform them without any prior information is desired since the base station cannot know the activity ratio and all users' large-scale fading coefficients in advance due to the nature of grant-free transmission. In this paper, we propose a multiple measurement vector approximate message passing that does not require any side information. Throughout computer simulations, we demonstrate that the proposed scheme can estimate the channels with comparable accuracy as the conventional one and accurately perform active user detection.
Keyword (in Japanese) (See Japanese page) 
(in English) Grant-free access / compressed sensing / approximate message passing / EM algorithm / / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 311, RCS2022-197, pp. 63-68, Dec. 2022.
Paper # RCS2022-197 
Date of Issue 2022-12-08 (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 RCS2022-197

Conference Information
Committee RCS NS  
Conference Date 2022-12-15 - 2022-12-16 
Place (in Japanese) (See Japanese page) 
Place (in English) Nagoya Institute of Technology, and Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Multi-hop/Relay/Cooperation, Disaster-resistant wireless network, Sensor/Mesh network, Ad-hoc network, D2D/M2M, Wireless network coding, Handover/AP switching/Connected cell control/Load balancing among base stations/Mobile network dynamic reconfiguration, QoS/QoE assurance, Wireless VoIP, IoT, Edge computing, etc. 
Paper Information
Registration To RCS 
Conference Code 2022-12-RCS-NS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Blind Multiple Measurement Vector Approximate Message Passing for Grant-Free Access 
Sub Title (in English)  
Keyword(1) Grant-free access  
Keyword(2) compressed sensing  
Keyword(3) approximate message passing  
Keyword(4) EM algorithm  
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1st Author's Name Takanori Hara  
1st Author's Affiliation Tokyo University of Science (Tokyo Univ. of Science)
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 2022-12-15 16:35:00 
Presentation Time 25 minutes 
Registration for RCS 
Paper # RCS2022-197 
Volume (vol) vol.122 
Number (no) no.311 
Page pp.63-68 
#Pages 6 
Date of Issue 2022-12-08 (RCS) 

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