Busy/idle duration model for WLAN traffic and its prediction performance using autoregressive method

Yafei Hou, Yusuke Tanaka, Julian Webber, Kazuto Yano, Satoshi Denno, Tomoaki Kumagai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper will study the busy/idle duration model and its prediction performance of autoregressive (AR) based predictor using the real environment data collected during rush-hour weekday evening at a railway station. The analysis shows that both busy and idle duration distribution largely appear as a generalized Pareto (GP) distribution with a different scale value. In addition, the scale value highly decides the prediction performance of the low-complexity linear AR based predictor. We also propose a new AR based predictor by separating busy/idle duration data into different streams to differentiate the scale value of the streams. The prediction performance of the proposed predictor can be improved for the streams with small scale value.

Original languageEnglish
Title of host publication2018 Asia-Pacific Microwave Conference, APMC 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages893-895
Number of pages3
ISBN (Electronic)9784902339451
DOIs
Publication statusPublished - Jan 16 2019
Event30th Asia-Pacific Microwave Conference, APMC 2018 - Kyoto, Japan
Duration: Nov 6 2018Nov 9 2018

Publication series

NameAsia-Pacific Microwave Conference Proceedings, APMC
Volume2018-November

Conference

Conference30th Asia-Pacific Microwave Conference, APMC 2018
CountryJapan
CityKyoto
Period11/6/1811/9/18

Keywords

  • Channel status prediction
  • Generalized Pareto (GP) distribution
  • WLAN traffic

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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  • Cite this

    Hou, Y., Tanaka, Y., Webber, J., Yano, K., Denno, S., & Kumagai, T. (2019). Busy/idle duration model for WLAN traffic and its prediction performance using autoregressive method. In 2018 Asia-Pacific Microwave Conference, APMC 2018 - Proceedings (pp. 893-895). [8617663] (Asia-Pacific Microwave Conference Proceedings, APMC; Vol. 2018-November). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/APMC.2018.8617663