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Paper Abstract and Keywords
Presentation 2022-05-13 11:00
Performance Evaluation of Highly Efficient Information Collection Methods by Trend Analysis of Sensor Information Using Pre-learning
Ryuji Miyamoto, Osamu Takyu, Hiroshi Fujiwara (Shinshu Univ.), Koichi Adachi (UEC), Mai Ohta (Fukuoka Univ.), Takeo Fujii (UEC) SR2022-14
Abstract (in Japanese) (See Japanese page) 
(in English) LPWA (Low Power Wide Area), a low-power, long-distance communication method, has been attracting attention. Level Index Modulation (PLIM) has a problem of missing information due to packet collision when multiple sensors select the same index. In this study, we established an optimal design based on a mathematical model that minimizes the probability of packet collision by using a trend analysis of prior sensor information in the index design, which is the correspondence between packet transmission time, selected channel, and transmitted information. In this paper, we proceeded with the characterization by computer simulation and showed that the proposed design method can suppress the packet collision probability better than the conventional method.
Keyword (in Japanese) (See Japanese page) 
(in English) PLIM / Mathematical Optimization / / / / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 12, SR2022-14, pp. 61-66, May 2022.
Paper # SR2022-14 
Date of Issue 2022-05-04 (SR) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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 SR2022-14

Conference Information
Committee SR  
Conference Date 2022-05-11 - 2022-05-13 
Place (in Japanese) (See Japanese page) 
Place (in English) NICT Koganei 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Software Defined Radio, AI/Machine Learning, Quantum-assisted wireless communications, etc. 
Paper Information
Registration To SR 
Conference Code 2022-05-SR 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Performance Evaluation of Highly Efficient Information Collection Methods by Trend Analysis of Sensor Information Using Pre-learning 
Sub Title (in English)  
Keyword(1) PLIM  
Keyword(2) Mathematical Optimization  
1st Author's Name Ryuji Miyamoto  
1st Author's Affiliation Shinshu University (Shinshu Univ.)
2nd Author's Name Osamu Takyu  
2nd Author's Affiliation Shinshu University (Shinshu Univ.)
3rd Author's Name Hiroshi Fujiwara  
3rd Author's Affiliation Shinshu University (Shinshu Univ.)
4th Author's Name Koichi Adachi  
4th Author's Affiliation The University of Electro-Communications (UEC)
5th Author's Name Mai Ohta  
5th Author's Affiliation Fukuoka University (Fukuoka Univ.)
6th Author's Name Takeo Fujii  
6th Author's Affiliation The University of Electro-Communications (UEC)
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Speaker Author-1 
Date Time 2022-05-13 11:00:00 
Presentation Time 25 minutes 
Registration for SR 
Paper # SR2022-14 
Volume (vol) vol.122 
Number (no) no.12 
Page pp.61-66 
Date of Issue 2022-05-04 (SR) 

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