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Paper Abstract and Keywords
Presentation 2021-05-14 10:25
[Invited Lecture] Matrix Completion Based Missing RSS Sequence Recovery and Future Value Prediction
Norisato Suga (ATR/TUS), Kazuto Yano (ATR), Julian Webber (ATR/Osaka Univ.), Yafei Hou (ATR/Okayama Univ.), Eiji Nii, Toshihide Higashimori, Yoshinori Suzuki (ATR) CQ2021-12
Abstract (in Japanese) (See Japanese page) 
(in English) This paper proposes rank minimization and matrix factorization (MF) based interpolations of received signal strength (RSS) from a transmitter mounted on moving robot in factory environment.
For realizing the reliable wireless communication, machine learning based channel prediction methods have been intensively studied in the past decade.
However, some traffic models will make the observation of RSS sequence be intermittent, and the missing values must be interpolated before input to the predictor.
Classical interpolation such as linear interpolation cannot appropriately estimate the missing values because the result of the interpolation depends on the observation time.
In this paper, we propose to apply an rank minimization and MF-based interpolation techniques to RSS interpolation in order to restore the true RSS variation pattern.
The simulation results show that the proposed interpolations can improve the prediction accuracy of the machine learning based channel prediction method.
Keyword (in Japanese) (See Japanese page) 
(in English) RSS prediction / rank minimization / matrix factorization / / / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 15, CQ2021-12, pp. 47-52, May 2021.
Paper # CQ2021-12 
Date of Issue 2021-05-06 (CQ) 
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)
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Conference Information
Committee CS CQ  
Conference Date 2021-05-13 - 2021-05-14 
Place (in Japanese) (See Japanese page) 
Place (in English) On-line 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Optical/Wireless Access and Their Integration, Communication Behavior, QoE and Psychology, Assessment / Measurement / Control / Optimization of Communication Quality, Network Services, Wireless Networks, MIMO/Diversity/Multiplexing Techniques, etc. 
Paper Information
Registration To CQ 
Conference Code 2021-05-CS-CQ 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Matrix Completion Based Missing RSS Sequence Recovery and Future Value Prediction 
Sub Title (in English)  
Keyword(1) RSS prediction  
Keyword(2) rank minimization  
Keyword(3) matrix factorization  
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1st Author's Name Norisato Suga  
1st Author's Affiliation Advanced Telecommunications Research Institute International/Tokyo University of Science (ATR/TUS)
2nd Author's Name Kazuto Yano  
2nd Author's Affiliation Advanced Telecommunications Research Institute International (ATR)
3rd Author's Name Julian Webber  
3rd Author's Affiliation Advanced Telecommunications Research Institute International/Osaka University (ATR/Osaka Univ.)
4th Author's Name Yafei Hou  
4th Author's Affiliation Advanced Telecommunications Research Institute International/Okayama University (ATR/Okayama Univ.)
5th Author's Name Eiji Nii  
5th Author's Affiliation Advanced Telecommunications Research Institute International (ATR)
6th Author's Name Toshihide Higashimori  
6th Author's Affiliation Advanced Telecommunications Research Institute International (ATR)
7th Author's Name Yoshinori Suzuki  
7th Author's Affiliation Advanced Telecommunications Research Institute International (ATR)
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Speaker Author-1 
Date Time 2021-05-14 10:25:00 
Presentation Time 25 minutes 
Registration for CQ 
Paper # CQ2021-12 
Volume (vol) vol.121 
Number (no) no.15 
Page pp.47-52 
#Pages
Date of Issue 2021-05-06 (CQ) 


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