Paper Abstract and Keywords |
Presentation |
2019-09-20 11:20
[Tutorial Lecture]
Application of Machine Learning to Propagation Loss Prediction
-- Bridge Connecting Propagation Models -- Hiroaki Nakabayashi (Chiba Tech) AP2019-77 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
On propagation loss prediction used for link design and station installation design in land mobile communications, in order to solve the problems of propagation model optimization and creation methods, a method to effectively merge representative propagation models by using machine learning is explained. Compared to multiple regression analysis and theoretical analysis which have been used for model creation, the method can easily merge the propagation models, and can also optimize models by adding new parameters. Therefore, it is explained that the machine learning functions as bridges connecting the various propagation models and is possible to predict the propagation loss with high accuracy. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Machine Learning / Propagation Loss Prediction / Propagation Model / Merged Propagation Models / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 119, no. 203, AP2019-77, pp. 43-47, Sept. 2019. |
Paper # |
AP2019-77 |
Date of Issue |
2019-09-12 (AP) |
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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AP2019-77 |
Conference Information |
Committee |
MW AP |
Conference Date |
2019-09-19 - 2019-09-20 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
JAXA (Sagamihara) |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Microwave, Millimeter wave, Antennas and Propagation |
Paper Information |
Registration To |
AP |
Conference Code |
2019-09-MW-AP |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Application of Machine Learning to Propagation Loss Prediction |
Sub Title (in English) |
Bridge Connecting Propagation Models |
Keyword(1) |
Machine Learning |
Keyword(2) |
Propagation Loss Prediction |
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Propagation Model |
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Merged Propagation Models |
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1st Author's Name |
Hiroaki Nakabayashi |
1st Author's Affiliation |
Chiba Institute of Technology (Chiba Tech) |
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Speaker |
Author-1 |
Date Time |
2019-09-20 11:20:00 |
Presentation Time |
50 minutes |
Registration for |
AP |
Paper # |
AP2019-77 |
Volume (vol) |
vol.119 |
Number (no) |
no.203 |
Page |
pp.43-47 |
#Pages |
5 |
Date of Issue |
2019-09-12 (AP) |
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