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Paper Abstract and Keywords
Presentation 2021-11-04 15:05
[Invited Lecture] Radio Environment Imaging: Ongoing Challenge and Future Perspective
Katsuya Suto (UEC) SR2021-48
Abstract (in Japanese) (See Japanese page) 
(in English) It is essential for wireless communications to recognize radio propagation's spatial characteristics, including path loss and shadowing. A major application that needs accurate radio propagation estimation is dynamic spectrum sharing since the radio propagation of the secondary system is used to calculate the interference conditions against a primary system. Although we need the measurement data outside of the coverage of the secondary system for interference calculation, crowdsensing with mobile terminals cannot measure the data in such an area. Therefore, we should develop a spatial extrapolation method that estimates the received signal strength out of the coverage of the secondary system. To cope with the research challenge, the author is investigating radio environment imaging that constructs the radio map out of the coverage of secondary system based on city environment information such as buildings height and elevation. In this talk, we first introduce an example of radio environment imaging that utilizes a deep generative model to translate the image of the city environment into radio maps. Then we show the advantage and disadvantages of the proposed method and finally discuss the future challenge of this field.
Keyword (in Japanese) (See Japanese page) 
(in English) Radio propagation / Spatial extrapolation / Truncated regression / Deep generative model / / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 227, SR2021-48, pp. 46-46, Nov. 2021.
Paper # SR2021-48 
Date of Issue 2021-10-28 (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)
Download PDF SR2021-48

Conference Information
Committee SR  
Conference Date 2021-11-04 - 2021-11-05 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Software Defined Radio, Cognitive Radio, Spectrum Shareing, etc. 
Paper Information
Registration To SR 
Conference Code 2021-11-SR 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Radio Environment Imaging: Ongoing Challenge and Future Perspective 
Sub Title (in English)  
Keyword(1) Radio propagation  
Keyword(2) Spatial extrapolation  
Keyword(3) Truncated regression  
Keyword(4) Deep generative model  
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1st Author's Name Katsuya Suto  
1st Author's Affiliation University of Electro-Communications (UEC)
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Speaker Author-1 
Date Time 2021-11-04 15:05:00 
Presentation Time 30 minutes 
Registration for SR 
Paper # SR2021-48 
Volume (vol) vol.121 
Number (no) no.227 
Page p.46 
#Pages 1 
Date of Issue 2021-10-28 (SR) 

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