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Paper Abstract and Keywords
Presentation 2018-04-19 13:25
Channel assignment for LPWA networks inspired by perceptual decision-making of human brain
Daichi Kominami (Osaka Univ.), Kazuya Suzuki, Yohei Hasegawa, Hideyuki Shimonishi (NEC), Masayuki Murata (Osaka Univ.) NS2018-2
Abstract (in Japanese) (See Japanese page) 
(in English) Low power wide area (LPWA) technology that realizes low-power-consumption and wide-area communication is rapidly spreading. LoRa and SIGFOX are patented standards. They use the ALOHA protocol as the MAC layer protocol, and therefore, as the number of nodes increases, more data frames collide with each other. In this paper, we propose a channel assignment method for LPWA nodes where a network server recognizes wireless channel conditions and makes a decision on the channel assignment in accordance with them. Through simulation experiments, we show that our proposal can realize accurate channel assignment under the condition where the network server can utilize spatially and temporally limited control information.
Keyword (in Japanese) (See Japanese page) 
(in English) Bayesian attractor model / low power wide area (LPWA) / Bayesian inference / / / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 6, NS2018-2, pp. 7-12, April 2018.
Paper # NS2018-2 
Date of Issue 2018-04-12 (NS) 
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 NS2018-2

Conference Information
Committee NS  
Conference Date 2018-04-19 - 2018-04-20 
Place (in Japanese) (See Japanese page) 
Place (in English) Fukuoka Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Traffic, Network evaluation, Performance, Resource control and management, Traffic engineering, Network reliability and resilience, etc. 
Paper Information
Registration To NS 
Conference Code 2018-04-NS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Channel assignment for LPWA networks inspired by perceptual decision-making of human brain 
Sub Title (in English)  
Keyword(1) Bayesian attractor model  
Keyword(2) low power wide area (LPWA)  
Keyword(3) Bayesian inference  
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1st Author's Name Daichi Kominami  
1st Author's Affiliation Osaka University (Osaka Univ.)
2nd Author's Name Kazuya Suzuki  
2nd Author's Affiliation NEC Corporation (NEC)
3rd Author's Name Yohei Hasegawa  
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 2018-04-19 13:25:00 
Presentation Time 25 minutes 
Registration for NS 
Paper # NS2018-2 
Volume (vol) vol.118 
Number (no) no.6 
Page pp.7-12 
#Pages
Date of Issue 2018-04-12 (NS) 


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