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 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) |
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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) |
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Intelligent Reflecting Surface (IRS) |
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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 |
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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 |
6 |
Date of Issue |
2021-02-24 (RCS) |
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