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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 However, if the outdated instantaneous samples are not deleted, the registered data size in the cloud server may become large.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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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)  
Keyword(1) Radio Map  
Keyword(2) Statistical Inference  
Keyword(3) Crowdsourcing  
Keyword(4) 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
Date of Issue 2021-05-13 (SR) 


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