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Paper Abstract and Keywords
Presentation 2023-05-12 10:00
A Study on Localization Using Standalone IRS with Quantum Fingerprint-based Method
Takahiro Ohyama (PSNRD), Yuichi Kawamoto, Nei Kato (Tohoku Univ.) SR2023-16
Abstract (in Japanese) (See Japanese page) 
(in English) Intelligent Reflecting Surface (IRS), which enables control of propagation characteristics, has attracted attention as a technology that can significantly improve energy utilisation efficiency in sixth-generation mobile communication systems. We have proposed a wireless communication system using Standalone-IRS (SA-IRS), which solves two problems: the overhead of channel estimation for each reflective element of the IRS, and the sharing use of the IRS by multiple operators. In the proposed system, the SA-IRS switches the phase shift periodically and autonomously updates the phase shift switching schedule to enable efficient communication. Based on the fingerprint-based localization method using quantum computing, we propose a new localization method for the SA-IRS as described above. Simulation results show that updating the phase shift switching schedule of SA-IRS is effective not only in improving the efficiency of communication, but also in improving the localization accuracy.
Keyword (in Japanese) (See Japanese page) 
(in English) Intelligent Reflecting Surface (IRS) / Standalone IRS / Localization / Quantum Computing / / / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 19, SR2023-16, pp. 75-82, May 2023.
Paper # SR2023-16 
Date of Issue 2023-05-04 (SR) 
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 SR2023-16

Conference Information
Committee SR  
Conference Date 2023-05-11 - 2023-05-12 
Place (in Japanese) (See Japanese page) 
Place (in English) Center of lifelong learning Kiran (Higashi Muroran) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Software Defined Radio, Cognitive Radio, Spectrum Sharing, Machine Learning, etc. 
Paper Information
Registration To SR 
Conference Code 2023-05-SR 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study on Localization Using Standalone IRS with Quantum Fingerprint-based Method 
Sub Title (in English)  
Keyword(1) Intelligent Reflecting Surface (IRS)  
Keyword(2) Standalone IRS  
Keyword(3) Localization  
Keyword(4) Quantum Computing  
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1st Author's Name Takahiro Ohyama  
1st Author's Affiliation Panasonic System Networks R&D Lab. Co., Ltd. (PSNRD)
2nd Author's Name Yuichi Kawamoto  
2nd Author's Affiliation Tohoku University (Tohoku Univ.)
3rd Author's Name Nei Kato  
3rd Author's Affiliation Tohoku University (Tohoku Univ.)
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Speaker Author-1 
Date Time 2023-05-12 10:00:00 
Presentation Time 25 minutes 
Registration for SR 
Paper # SR2023-16 
Volume (vol) vol.123 
Number (no) no.19 
Page pp.75-82 
#Pages 8 
Date of Issue 2023-05-04 (SR) 

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