Paper Abstract and Keywords |
Presentation |
2020-06-04 14:00
Radio Propagation Extrapolation Based on Correction of Empirical CDF Keita Katagiri, Takeo Fujii (UEC) SR2020-2 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In this paper, we propose a radio propagation extrapolation method based on the correction of an empirical cumulative distribution function (CDF) of the received signal power. As the high estimation method of radio propagation, a measurement-based path loss model and a radio environment map (REM) attract attention. However, the estimation accuracy of the radio environment is degraded if the received signal power samples cannot be demodulated due to the interferences from the other cells. The database server should extrapolate the missing received signal power based on a mathematical method. Therefore, in this paper, we propose the radio propagation extrapolation method based on the correction of an empirical CDF of the received signal power. In the proposed method, the sensor nodes observe the received signal power in each location and report this information to the database server. Then, the database server corrects the empirical CDF of the received signal power in each mesh considering the number of missing samples and extrapolates the median of the received signal power. The emulation results using 3.5GHz band datasets show that the proposed method can accurately estimate the median of the received signal power comparing with the non-extrapolated method and a multiple imputation method. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Interference Limit / Spatial Extrapolation / Radio Propagation / Radio Environment Map / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 120, no. 53, SR2020-2, pp. 9-16, June 2020. |
Paper # |
SR2020-2 |
Date of Issue |
2020-05-28 (SR) |
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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SR2020-2 |
Conference Information |
Committee |
SR |
Conference Date |
2020-06-04 - 2020-06-05 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Online |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Software Defined Radio, Machine Learning, General |
Paper Information |
Registration To |
SR |
Conference Code |
2020-06-SR |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Radio Propagation Extrapolation Based on Correction of Empirical CDF |
Sub Title (in English) |
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Keyword(1) |
Interference Limit |
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Spatial Extrapolation |
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Radio Propagation |
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Radio Environment Map |
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1st Author's Name |
Keita Katagiri |
1st Author's Affiliation |
The University of Electro-Communications (UEC) |
2nd Author's Name |
Takeo Fujii |
2nd Author's Affiliation |
The University of Electro-Communications (UEC) |
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Speaker |
Author-1 |
Date Time |
2020-06-04 14:00:00 |
Presentation Time |
25 minutes |
Registration for |
SR |
Paper # |
SR2020-2 |
Volume (vol) |
vol.120 |
Number (no) |
no.53 |
Page |
pp.9-16 |
#Pages |
8 |
Date of Issue |
2020-05-28 (SR) |
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