Paper Abstract and Keywords |
Presentation |
2021-05-20 10:50
Statistic Sample Size Determination for Average Received Signal Power Using Statistical Inference Keita Katagiri, Takeo Fujii (UEC) SR2021-3 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Nowadays, a crowdsourcing-assisted radio map has attracted attention. In crowdsourcing, distributed mobile terminals observe the radio environment in each location and report the observed samples to the cloud server. The radio map is constructed by statistically processing the reported samples in each location. However, if the outdated instantaneous samples are not deleted, the registered data size in the cloud server may become large. Thus, we propose a method for determining the required sample size to estimate the average received signal power. The interval estimation and central limit theorem are firstly utilized to estimate the required sample size in each mesh. Second, the t-test in hypothesis testing is used. Then, the cloud server calculates the average received signal power based on the estimated sample size. The simulation results reveal that it is necessary to appropriately select two determination methods for the sample size according to the significance level. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Radio Map / Statistical Inference / Crowdsourcing / Radio Propagation / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 121, no. 30, SR2021-3, pp. 16-23, May 2021. |
Paper # |
SR2021-3 |
Date of Issue |
2021-05-13 (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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SR2021-3 |
Conference Information |
Committee |
SR |
Conference Date |
2021-05-20 - 2021-05-21 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Online |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Software Radio, Machine Learning for Wireless Communication, etc. |
Paper Information |
Registration To |
SR |
Conference Code |
2021-05-SR |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Statistic Sample Size Determination for Average Received Signal Power Using Statistical Inference |
Sub Title (in English) |
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Keyword(1) |
Radio Map |
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Statistical Inference |
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Crowdsourcing |
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Radio Propagation |
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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 |
2021-05-20 10:50:00 |
Presentation Time |
25 minutes |
Registration for |
SR |
Paper # |
SR2021-3 |
Volume (vol) |
vol.121 |
Number (no) |
no.30 |
Page |
pp.16-23 |
#Pages |
8 |
Date of Issue |
2021-05-13 (SR) |
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