Paper Abstract and Keywords |
Presentation |
2018-01-19 10:40
A Study on Radio Propagation Prediction by Using Deep Learning Tetsuro Imai, Yukihiko Okumura (NTT DOCOMO) AP2017-165 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Recently, advancement of artificial intelligence has been remarkable, and many applied researches are attracting attention now. Most of them are based on deep learning. In this paper, we propose radio propagation prediction model by using deep neural network, which has function to automatically learn parameters about urban structure. In addition, its performances are evaluated based on data which are obtained by ray-tracing. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Deep learning / Deep neural network / Machine learning / Radio propagation prediction / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 117, no. 382, AP2017-165, pp. 81-86, Jan. 2018. |
Paper # |
AP2017-165 |
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 |
AP2017-165 |
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) |
A Study on Radio Propagation Prediction by Using Deep Learning |
Sub Title (in English) |
|
Keyword(1) |
Deep learning |
Keyword(2) |
Deep neural network |
Keyword(3) |
Machine learning |
Keyword(4) |
Radio propagation prediction |
Keyword(5) |
|
Keyword(6) |
|
Keyword(7) |
|
Keyword(8) |
|
1st Author's Name |
Tetsuro Imai |
1st Author's Affiliation |
NTT DOCOMO, INC. (NTT DOCOMO) |
2nd Author's Name |
Yukihiko Okumura |
2nd Author's Affiliation |
NTT DOCOMO, INC. (NTT DOCOMO) |
3rd Author's Name |
|
3rd Author's Affiliation |
() |
4th Author's Name |
|
4th Author's Affiliation |
() |
5th Author's Name |
|
5th Author's Affiliation |
() |
6th Author's Name |
|
6th Author's Affiliation |
() |
7th Author's Name |
|
7th Author's Affiliation |
() |
8th Author's Name |
|
8th Author's Affiliation |
() |
9th Author's Name |
|
9th Author's Affiliation |
() |
10th Author's Name |
|
10th Author's Affiliation |
() |
11th Author's Name |
|
11th Author's Affiliation |
() |
12th Author's Name |
|
12th Author's Affiliation |
() |
13th Author's Name |
|
13th Author's Affiliation |
() |
14th Author's Name |
|
14th Author's Affiliation |
() |
15th Author's Name |
|
15th Author's Affiliation |
() |
16th Author's Name |
|
16th Author's Affiliation |
() |
17th Author's Name |
|
17th Author's Affiliation |
() |
18th Author's Name |
|
18th Author's Affiliation |
() |
19th Author's Name |
|
19th Author's Affiliation |
() |
20th Author's Name |
|
20th Author's Affiliation |
() |
Speaker |
Author-1 |
Date Time |
2018-01-19 10:40:00 |
Presentation Time |
20 minutes |
Registration for |
AP |
Paper # |
AP2017-165 |
Volume (vol) |
vol.117 |
Number (no) |
no.382 |
Page |
pp.81-86 |
#Pages |
6 |
Date of Issue |
2018-01-11 (AP) |
|