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Paper Abstract and Keywords
Presentation 2020-01-17 09:40
Bayesian channel selection method for LoRaWAN under unpredictable wireless channel fluctuations
Daichi Kominami (Osaka Univ.), Yohei Hasegawa, Kosuke Nogami, Hideyuki Shimonishi (NEC), Masayuki Murata (Osaka Univ.) CQ2019-122
Abstract (in Japanese) (See Japanese page) 
(in English) Internet of Things (IoT) become a common term used in society. LPWA technology is attracting attention as one of its elemental technologies. LoRa is one of LPWA communication technologies using unlicensed bands. Since it is possible to build a self-managed network with LoRa, many services using LoRa will be scattered in the same area without the entire administrator. As a result, communication performance of LoRa may be degraded due to unintended radio interferences. In this research, we propose a method for estimating the network state by successive estimation using Bayesian update and a wireless channel assignment method based on the estimation results. Through computer simulation, we show the network performance improvement with out proposal.
Keyword (in Japanese) (See Japanese page) 
(in English) Bayesian attractor model / LPWA / LoRa / Bayes inference / / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 367, CQ2019-122, pp. 83-88, Jan. 2020.
Paper # CQ2019-122 
Date of Issue 2020-01-09 (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)
Download PDF CQ2019-122

Conference Information
Committee CQ CBE  
Conference Date 2020-01-16 - 2020-01-17 
Place (in Japanese) (See Japanese page) 
Place (in English) NHK Science & Technology Research Laboratories 
Topics (in Japanese) (See Japanese page) 
Topics (in English) AR/VR, Broadcasting Service, Video/Voice Services Quality, High Realistic, User Behavior/Psychology, User Experience, Media Quality, Network Quality and QoS Control, Networks and Communications at Disaster, User Behavior, Machine Learning, etc. 
Paper Information
Registration To CQ 
Conference Code 2020-01-CQ-CBE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Bayesian channel selection method for LoRaWAN under unpredictable wireless channel fluctuations 
Sub Title (in English)  
Keyword(1) Bayesian attractor model  
Keyword(2) LPWA  
Keyword(3) LoRa  
Keyword(4) Bayes inference  
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1st Author's Name Daichi Kominami  
1st Author's Affiliation Osaka University (Osaka Univ.)
2nd Author's Name Yohei Hasegawa  
2nd Author's Affiliation NEC Corporation (NEC)
3rd Author's Name Kosuke Nogami  
3rd Author's Affiliation NEC Corporation (NEC)
4th Author's Name Hideyuki Shimonishi  
4th Author's Affiliation NEC Corporation (NEC)
5th Author's Name Masayuki Murata  
5th Author's Affiliation Osaka University (Osaka Univ.)
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Speaker Author-1 
Date Time 2020-01-17 09:40:00 
Presentation Time 20 minutes 
Registration for CQ 
Paper # CQ2019-122 
Volume (vol) vol.119 
Number (no) no.367 
Page pp.83-88 
#Pages
Date of Issue 2020-01-09 (CQ) 


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