Predicting the effect of home Wi-Fi quality on Web QoE

Abstract : Wi-Fi is the preferred way of accessing the Internet for many devices at home, but it is vulnerable to performance problems. The analysis of Wi-Fi quality metrics such as RSSI or PHY rate may indicate a number of problems, but users may not notice many of these problems if they don't degrade the performance of the applications they are using. In this work, we study the effects of the home Wi-Fi quality on Web browsing experience. We instrument a commodity access point (AP) to passively monitor Wi-Fi metrics and study the relationship between Wi-Fi metrics and Web QoE through controlled experiments in a Wi-Fi testbed. We use support vector regression to build a predictor of Web QoE when given Wi-Fi quality metrics available in most commercial APs. Our validation shows root-mean square errors on MOS predictions of 0.6432 in a controlled environment and of 0.9283 in our lab. We apply our predictor on Wi-Fi metrics collected in the wild from 4,880 APs to shed light on how Wi-Fi quality affects Web QoE in real homes.
Type de document :
Communication dans un congrès
Proceedings SIGCOMM Workshop on QoE-based Analysis and Management of Data Communication Networks (Internet-QoE), Aug 2016, Florianópolis, Brazil. 2016, 〈http://conferences.sigcomm.org/sigcomm/2016/qoe.php〉. 〈10.1145/2940136.2940146〉
Liste complète des métadonnées

Littérature citée [17 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/hal-01339522
Contributeur : Diego Neves da Hora <>
Soumis le : lundi 5 septembre 2016 - 03:52:15
Dernière modification le : mercredi 21 mars 2018 - 18:57:46
Document(s) archivé(s) le : mardi 6 décembre 2016 - 12:07:23

Fichier

article (1).pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

Collections

Citation

Diego Neves da Hora, Renata Teixeira, Karel Van Doorselaer, Koen Van Oost. Predicting the effect of home Wi-Fi quality on Web QoE. Proceedings SIGCOMM Workshop on QoE-based Analysis and Management of Data Communication Networks (Internet-QoE), Aug 2016, Florianópolis, Brazil. 2016, 〈http://conferences.sigcomm.org/sigcomm/2016/qoe.php〉. 〈10.1145/2940136.2940146〉. 〈hal-01339522〉

Partager

Métriques

Consultations de la notice

192

Téléchargements de fichiers

394