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Paper Abstract and Keywords
Presentation 2021-03-05 10:55
Selective Reflection Control-based Channel Estimation Overhead Reduction in IRS-aided Mobile Communication Systems
Hashida Hiroaki, Kawamoto Yuichi, Kato Nei (Tohoku Univ.) RCS2020-250
Abstract (in Japanese) (See Japanese page) 
(in English) Intelligent reflecting surfaces (IRSs) are promising for providing additional propagation paths for users in a dead zone to enhance the robustness of wireless transmission against shielding. Nevertheless, the channel estimation overhead proportionately increases with the number of IRSs, making it difficult to handle multiple IRS. Therefore, we propose a transmission control procedure that aimed at reducing channel estimation overhead in distributed IRS communication systems, where a multi-antenna base station serves multiple user equipment (UE) with multi-user multiple-input multiple-output orthogonal frequency division multiplexing (MU-MIMO-OFDM). First, a novel selective reflection control (SRC) method is proposed, in which each IRS controls its reflection coefficient in relation to only part of the UEs, and not for all UEs. Simulation results confirm that the proposed method based on the SRC satisfied the signal-to-interference-plus-noise ratio requirement of the UE, which suffers from severe radio wave attenuation with less channel estimation overhead. The proposed method also show its capability in suppressing the proportional growth of channel estimation overhead with the increase in the number of IRS, which may accelerate the large scale deployment of IRS.
Keyword (in Japanese) (See Japanese page) 
(in English) Intelligent Reflecting Surface (IRS) / channel estimation / / / / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 404, RCS2020-250, pp. 212-217, March 2021.
Paper # RCS2020-250 
Date of Issue 2021-02-24 (RCS) 
ISSN Online edition: ISSN 2432-6380
Copyright
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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 RCS2020-250

Conference Information
Committee RCS SR SRW  
Conference Date 2021-03-03 - 2021-03-05 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Mobile Communication Workshop 
Paper Information
Registration To RCS 
Conference Code 2021-03-RCS-SR-SRW 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Selective Reflection Control-based Channel Estimation Overhead Reduction in IRS-aided Mobile Communication Systems 
Sub Title (in English)  
Keyword(1) Intelligent Reflecting Surface (IRS)  
Keyword(2) channel estimation  
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1st Author's Name Hashida Hiroaki  
1st Author's Affiliation Tohoku University (Tohoku Univ.)
2nd Author's Name Kawamoto Yuichi  
2nd Author's Affiliation Tohoku University (Tohoku Univ.)
3rd Author's Name Kato Nei  
3rd Author's Affiliation Tohoku University (Tohoku Univ.)
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Speaker Author-1 
Date Time 2021-03-05 10:55:00 
Presentation Time 25 minutes 
Registration for RCS 
Paper # RCS2020-250 
Volume (vol) vol.120 
Number (no) no.404 
Page pp.212-217 
#Pages
Date of Issue 2021-02-24 (RCS) 


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