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 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) |
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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) |
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Keyword(1) |
Bayesian attractor model |
Keyword(2) |
LPWA |
Keyword(3) |
LoRa |
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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 |
6 |
Date of Issue |
2020-01-09 (CQ) |
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