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Paper Abstract and Keywords
Presentation 2018-01-19 10:20
[Propagation Model Contest] Prediction Method using Deep-Learning for Path Loss Characteristics in An Virtual City Environment
Nobuaki Kuno, Motoharu Sasaki, Yasushi Takatori (NTT) AP2017-164
Abstract (in Japanese) (See Japanese page) 
(in English) Attending a propagation model contest, we proposed a prediction model using deep-learning for prepared path loss data. By using general parameters of path loss prediction formula in macro cell and street micro cell, this model was generated without requiring derivation of a complex functional form. The path loss data for a verification can be accurately predicted in the constructed prediction model. The RMS error of the verification data was 6.14 dB.
Keyword (in Japanese) (See Japanese page) 
(in English) Propagation Model Contest / Deep-Learning / Machine-Learning / Path Loss / Macro Cell / Street Micro Cell / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 382, AP2017-164, pp. 75-79, Jan. 2018.
Paper # AP2017-164 
Date of Issue 2018-01-11 (AP) 
ISSN Print edition: ISSN 0913-5685    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)
Download PDF AP2017-164

Conference Information
Committee AP WPT  
Conference Date 2018-01-18 - 2018-01-19 
Place (in Japanese) (See Japanese page) 
Place (in English) ATR 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Wireless transmission technology, Radio propagation, Antennas and Propagation 
Paper Information
Registration To AP 
Conference Code 2018-01-AP-WPT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) [Propagation Model Contest] Prediction Method using Deep-Learning for Path Loss Characteristics in An Virtual City Environment 
Sub Title (in English)  
Keyword(1) Propagation Model Contest  
Keyword(2) Deep-Learning  
Keyword(3) Machine-Learning  
Keyword(4) Path Loss  
Keyword(5) Macro Cell  
Keyword(6) Street Micro Cell  
Keyword(7)  
Keyword(8)  
1st Author's Name Nobuaki Kuno  
1st Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
2nd Author's Name Motoharu Sasaki  
2nd Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
3rd Author's Name Yasushi Takatori  
3rd Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
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Speaker Author-1 
Date Time 2018-01-19 10:20:00 
Presentation Time 20 minutes 
Registration for AP 
Paper # AP2017-164 
Volume (vol) vol.117 
Number (no) no.382 
Page pp.75-79 
#Pages 5 
Date of Issue 2018-01-11 (AP) 

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