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Paper Abstract and Keywords
Presentation 2018-07-12 10:20
Experimental Verification of Frequency-Correlation of Radio Propagation Characteristics for Radio Environment Recognition
Keita Onose (UEC), Koya Sato (TUS), Kei Inage (TMCIT), Takeo Fujii (UEC) SR2018-32
Abstract (in Japanese) (See Japanese page) 
(in English) Spectrum sharing with cognitive radio has attracted attention to solve the shortage of spectrum resources. In order to realize highly efficient spectrum sharing, it is important to accurately recognize the radio environment for the suitable communication parameter setting. In order to recognize wireless environment of multiple channels with limited number of observation channels, interpolation of the statistical information on the frequency axis can be used. Some papers report that shadowing has high frequency correlated. However, conventional works only present frequency correlation analyses between several distant channels. In this paper, we evaluate frequency correlation of shadowing based on actual measurement using 5GHz wireless LAN channels for confirming the adaptability of the frequency correlation to wireless environment recognition. In addition, we examine the possibility of interpolation of statistical information on frequency axis using inverse distance weighting method.
Keyword (in Japanese) (See Japanese page) 
(in English) Cognitive Radio / Spectrum Database / Frequency Correlation / Radio Propagation / Crowd Sensing / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 126, SR2018-32, pp. 73-78, July 2018.
Paper # SR2018-32 
Date of Issue 2018-07-04 (SR) 
ISSN Online edition: ISSN 2432-6380
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 SR2018-32

Conference Information
Committee ASN NS RCS SR RCC  
Conference Date 2018-07-11 - 2018-07-13 
Place (in Japanese) (See Japanese page) 
Place (in English) Hakodate Arena 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Wireless Distributed Network, Machine Learning and AI for Wireless Communications and Networks, M2M (Machine-to-Machine), D2D (Device-to-Device), IoT(Internet of Things), etc. 
Paper Information
Registration To SR 
Conference Code 2018-07-ASN-NS-RCS-SR-RCC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Experimental Verification of Frequency-Correlation of Radio Propagation Characteristics for Radio Environment Recognition 
Sub Title (in English)  
Keyword(1) Cognitive Radio  
Keyword(2) Spectrum Database  
Keyword(3) Frequency Correlation  
Keyword(4) Radio Propagation  
Keyword(5) Crowd Sensing  
1st Author's Name Keita Onose  
1st Author's Affiliation The University of Electro-Communications (UEC)
2nd Author's Name Koya Sato  
2nd Author's Affiliation Tokyo University of Science (TUS)
3rd Author's Name Kei Inage  
3rd Author's Affiliation Tokyo Metropolitan College of Industrial Technology (TMCIT)
4th Author's Name Takeo Fujii  
4th Author's Affiliation The University of Electro-Communications (UEC)
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Speaker Author-1 
Date Time 2018-07-12 10:20:00 
Presentation Time 25 minutes 
Registration for SR 
Paper # SR2018-32 
Volume (vol) vol.118 
Number (no) no.126 
Page pp.73-78 
Date of Issue 2018-07-04 (SR) 

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