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Paper Abstract and Keywords
Presentation 2020-11-18 13:55
Study on Quick Detection of Video Streaming based on Spectrum Measurement
Hiroto Ebisawa, Kenta Umebayashi (TUAT), Janne Lehtomaki (University of Oulu) SR2020-27
Abstract (in Japanese) (See Japanese page) 
(in English) For a dynamic channel selection/allocation in a high-dense wireless local area network (WLAN), traffic information in each channel is useful. Specifically, accurately predicted traffic information in wireless networks is useful for the optimal channel selection/allocation. In the related works, deep learning/autoregressive moving average model is employed to predict duty cycle (DC) based on observed DC. However, the predicted DC is reactive since it is difficult to find a foretaste of increase/decrease of DC with the observed time series of DC. In this paper, we investigate a quick detection for starting video streaming since the starting video streaming would lead to a significant increase of the traffic. The detector is designed using the characteristics of channel utilization under starting video streaming. Numerical results show that the video streaming can be detected quickly by the proposed detector. In addition, experimental test shows that proposed detector can also detect video streaming in the real situation.
Keyword (in Japanese) (See Japanese page) 
(in English) Wireless LAN / Spectrum Measurement / Video Streaming / Signal Detection / / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 238, SR2020-27, pp. 29-36, Nov. 2020.
Paper # SR2020-27 
Date of Issue 2020-11-11 (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 SR2020-27

Conference Information
Committee SR  
Conference Date 2020-11-18 - 2020-11-20 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Software Radio, Cognitive Radio, Spectrum Sharing, etc. 
Paper Information
Registration To SR 
Conference Code 2020-11-SR 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Study on Quick Detection of Video Streaming based on Spectrum Measurement 
Sub Title (in English)  
Keyword(1) Wireless LAN  
Keyword(2) Spectrum Measurement  
Keyword(3) Video Streaming  
Keyword(4) Signal Detection  
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1st Author's Name Hiroto Ebisawa  
1st Author's Affiliation Department of Electrical and Electronic Engineering, Tokyo University of Agriculture and Technology (TUAT)
2nd Author's Name Kenta Umebayashi  
2nd Author's Affiliation Department of Electrical and Electronic Engineering, Tokyo University of Agriculture and Technology (TUAT)
3rd Author's Name Janne Lehtomaki  
3rd Author's Affiliation University of Oulu (University of Oulu)
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Speaker Author-1 
Date Time 2020-11-18 13:55:00 
Presentation Time 25 minutes 
Registration for SR 
Paper # SR2020-27 
Volume (vol) vol.120 
Number (no) no.238 
Page pp.29-36 
#Pages 8 
Date of Issue 2020-11-11 (SR) 

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