Presentation 2020-11-18
Study on Quick Detection of Video Streaming based on Spectrum Measurement
Hiroto Ebisawa, Kenta Umebayashi, Janne Lehtomaki,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(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)
Keyword(in English) Wireless LAN / Spectrum Measurement / Video Streaming / Signal Detection
Paper # SR2020-27
Date of Issue 2020-11-11 (SR)

Conference Information
Committee SR
Conference Date 2020/11/18(3days)
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.
Chair Masayuki Ariyoshi(NEC)
Vice Chair Suguru Kameda(Tohoku Univ.) / Osamu Takyu(Shinshu Univ.) / Kentaro Ishidu(NICT)
Secretary Suguru Kameda(ATR) / Osamu Takyu(Univ. of Electro-Comm.) / Kentaro Ishidu(Mie Univ.)
Assistant Mai Ohta(Fukuoka Univ.) / Teppei Oyama(Fujitsu Lab.) / Kentaro Kobayashi(Nagoya Univ.)

Paper Information
Registration To Technical Committee on Smart Radio
Language JPN
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
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)
Date 2020-11-18
Paper # SR2020-27
Volume (vol) vol.120
Number (no) SR-238
Page pp.pp.29-36(SR),
#Pages 8
Date of Issue 2020-11-11 (SR)