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Paper Abstract and Keywords
Presentation 2021-09-09 14:05
[Invited Talk] Deep Learning based position estimation method using WLAN CSI feedback
Riichi Kudo, Kahoko Takahashi, Tomoki Murakami, Tomoaki Ogawa (NTT) CQ2021-45
Abstract (in Japanese) (See Japanese page) 
(in English) Thanks to the great advances in wireless communication systems, many types of the wireless terminals are available. It is expected that various novel services emerge in Society 5.0 that is based on Internet of Things (IoT) by a high degree of convergence between cyberspace (virtual space) and physical space (real space). This report proposes that the deep learning baesd position estimation using the channel state information (CSI) feedback in wireless LAN systems. The proposed position estimation is based on a finger print method and requires only single access point (AP). The indoor environment is considered to be as a target. In the proposed model, recurrent neural network (RNN) was used to utilize the time domain characteristics and the input features for the model was provided based on the angle of arrival (AoA) estimation algorithms. To evaluate the estimation accuracy, we developed the autonomous locomotion robot and measured the wireless LAN feedbacks and position information of the robot. The accuracy of the position estimation and lifetime of the model are discussed in this report.
Keyword (in Japanese) (See Japanese page) 
(in English) Position estimation / Wireless LAN / Machine learning / Mobility robot / / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 173, CQ2021-45, pp. 40-45, Sept. 2021.
Paper # CQ2021-45 
Date of Issue 2021-09-02 (CQ) 
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 CQ2021-45

Conference Information
Committee CQ MIKA  
Conference Date 2021-09-09 - 2021-09-10 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Wireless Communications Quality, 6G, IoT, Resource Management, Wireless Transmission, Cross layer Technologies, etc. 
Paper Information
Registration To CQ 
Conference Code 2021-09-CQ-MIKA 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Deep Learning based position estimation method using WLAN CSI feedback 
Sub Title (in English)  
Keyword(1) Position estimation  
Keyword(2) Wireless LAN  
Keyword(3) Machine learning  
Keyword(4) Mobility robot  
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1st Author's Name Riichi Kudo  
1st Author's Affiliation NTT (NTT)
2nd Author's Name Kahoko Takahashi  
2nd Author's Affiliation NTT (NTT)
3rd Author's Name Tomoki Murakami  
3rd Author's Affiliation NTT (NTT)
4th Author's Name Tomoaki Ogawa  
4th Author's Affiliation NTT (NTT)
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Speaker Author-1 
Date Time 2021-09-09 14:05:00 
Presentation Time 35 minutes 
Registration for CQ 
Paper # CQ2021-45 
Volume (vol) vol.121 
Number (no) no.173 
Page pp.40-45 
#Pages 6 
Date of Issue 2021-09-02 (CQ) 

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