Paper Abstract and Keywords |
Presentation |
2021-01-20 13:20
A Study of Online Training Method for Image-based Wireless Link Quality Prediction Sohei Itahara (Kyoto Univ), Takayuki Nishio (Tokyo Tech), Masahiro Morikura, Koji Yamamoto (Kyoto Univ) SeMI2020-44 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Machine-learning-based prediction of future wireless link quality is an emerging technique that can potentially improve the reliability of wireless communications, especially at higher frequencies (e.g., millimeter-wave and terahertz technologies), through predictive handover and beamforming to solve line- of-sight (LOS) blockage problem. In this study, a real-time online trainable wireless link quality prediction system was proposed; the system was implemented with commercially available laptops. The proposed system collects datasets, updates a model, and infers the received power in real-time. The experimental evaluation was conducted using 5 GHz Wi-Fi, where received signal strength could be degraded by 10 dB when the LOS path was blocked by large obstacles. The experimental results demonstrate that the prediction model is updated in real-time, adapts to the change in environment, and predicts the time-varying Wi-Fi received power accurately. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
higher frequency communications / machine learning / camera assisted / implementation / 5G / beyond 5G / / |
Reference Info. |
IEICE Tech. Rep., vol. 120, no. 315, SeMI2020-44, pp. 7-9, Jan. 2021. |
Paper # |
SeMI2020-44 |
Date of Issue |
2021-01-13 (SeMI) |
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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SeMI2020-44 |
Conference Information |
Committee |
SeMI |
Conference Date |
2021-01-20 - 2021-01-21 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Online |
Topics (in Japanese) |
(See Japanese page) |
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Paper Information |
Registration To |
SeMI |
Conference Code |
2021-01-SeMI |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
A Study of Online Training Method for Image-based Wireless Link Quality Prediction |
Sub Title (in English) |
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Keyword(1) |
higher frequency communications |
Keyword(2) |
machine learning |
Keyword(3) |
camera assisted |
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implementation |
Keyword(5) |
5G |
Keyword(6) |
beyond 5G |
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1st Author's Name |
Sohei Itahara |
1st Author's Affiliation |
Kyoto University (Kyoto Univ) |
2nd Author's Name |
Takayuki Nishio |
2nd Author's Affiliation |
Tokyo Institute of Technology (Tokyo Tech) |
3rd Author's Name |
Masahiro Morikura |
3rd Author's Affiliation |
Kyoto University (Kyoto Univ) |
4th Author's Name |
Koji Yamamoto |
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Kyoto University (Kyoto Univ) |
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Speaker |
Author-1 |
Date Time |
2021-01-20 13:20:00 |
Presentation Time |
20 minutes |
Registration for |
SeMI |
Paper # |
SeMI2020-44 |
Volume (vol) |
vol.120 |
Number (no) |
no.315 |
Page |
pp.7-9 |
#Pages |
3 |
Date of Issue |
2021-01-13 (SeMI) |
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