Synthetic Smartphone Data Usage Modeling Through User Clustering

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Researchers

  • Stephan Wirsing
  • Benjamin Finley

Research units

  • University of Vienna
  • SBR-net Consulting AG

Abstract

Mobile network usage models (along with system models) are useful tools for estimating the performance of future and current mobile communication systems. However current mobile network usage models lack either the granularity or flexibility required for assessing advanced concepts (such as cognitive radio and dynamic spectrum access) at academic research levels. Therefore, in this work, we propose a network usage model that is both granular (modeling at the individual device level) and flexible (allowing arbitrary combinations of empirically derived user types and various time scales). We derive the user types through temporal clustering of network usage patterns of around 400 diverse US-based smartphone users. Additionally, the model accounts for the bursty nature and self-similarity of such traffic and we show these characteristics are preserved over several time scales.

Details

Original languageEnglish
Title of host publication2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (IEEE PIMRC 2018)
Publication statusPublished - Sep 2018
MoE publication typeA4 Article in a conference publication
EventIEEE International Symposium on Personal, Indoor and Mobile Radio Communications - Polo Congressuale, Bologna, Italy
Duration: 9 Sep 201812 Sep 2018
Conference number: 29
http://pimrc2018.ieee-pimrc.org/

Conference

ConferenceIEEE International Symposium on Personal, Indoor and Mobile Radio Communications
Abbreviated titleIEEE PIMRC
CountryItaly
CityBologna
Period09/09/201812/09/2018
Internet address

ID: 26071657