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Paper Abstract and Keywords
Presentation 2017-10-23 14:00
[Poster Presentation] Experimental Verification of Frequency-Correlation for Radio Environment Recognition Using Crowd Sensing
Keita Onose, Koya Sato (UEC), Kei Inage (TMCIT), Takeo Fujii (UEC)
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 losses have high frequency correlated. However, conventional works only present frequency correlation analyses between two or three channels. In this paper, we evaluate frequency correlation of shadowing based on actual measurement using wireless LAN channels for confirming the adaptability of the frequency correlation to wireless environment recognition.
Keyword (in Japanese) (See Japanese page) 
(in English) Cognitive Radio / Radio Environment Database / Frequency Correlation / Radio Propagation / Wireless LAN / Crowd Sensing / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 257, SR2017-74, pp. 27-28, Oct. 2017.
Paper # SR2017-74 
Date of Issue 2017-10-16 (SR, SRW) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380

Conference Information
Committee SR SRW  
Conference Date 2017-10-23 - 2017-10-24 
Place (in Japanese) (See Japanese page) 
Place (in English) Grand Hotel Palatino, Rome, Italy 
Topics (in Japanese) (See Japanese page) 
Topics (in English) SmartCom2017 
Paper Information
Registration To SR 
Conference Code 2017-10-SR-SRW 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Experimental Verification of Frequency-Correlation for Radio Environment Recognition Using Crowd Sensing 
Sub Title (in English)  
Keyword(1) Cognitive Radio  
Keyword(2) Radio Environment Database  
Keyword(3) Frequency Correlation  
Keyword(4) Radio Propagation  
Keyword(5) Wireless LAN  
Keyword(6) Crowd Sensing  
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Keyword(8)  
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 The University of Electro-Communications (UEC)
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
Date Time 2017-10-23 14:00:00 
Presentation Time 120 
Registration for SR 
Paper # IEICE-SR2017-74,IEICE-SRW2017-26 
Volume (vol) IEICE-117 
Number (no) no.257(SR), no.258(SRW) 
Page pp.27-28(SR), pp.31-32(SRW) 
#Pages IEICE-2 
Date of Issue IEICE-SR-2017-10-16,IEICE-SRW-2017-10-16 


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