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Quality assessment and usage behavior of a mobile voice-over-IP service

Author

Listed:
  • Toon Pessemier

    (Ghent University)

  • Isabelle Stevens

    (Ghent University)

  • Lieven Marez

    (Ghent University)

  • Luc Martens

    (Ghent University)

  • Wout Joseph

    (Ghent University)

Abstract

Voice-over-IP (VoIP) services offer users a cheap alternative to the traditional mobile operators to make voice calls. Due to the increased capabilities and connectivity of mobile devices, these VoIP services are becoming increasingly popular on the mobile platform. Understanding the user’s usage behavior and quality assessment of the VoIP service plays a key role in optimizing the Quality of Experience (QoE) and making the service to succeed or to fail. By analyzing the usage and quality assessments of a commercial VoIP service, this paper identifies device characteristics, context parameters, and user aspects that influence the usage behavior and experience during VoIP calls. Whereas multimedia services are traditionally evaluated by monitoring usage and quality for a limited number of test subjects and during a limited evaluation period, this study analyzes the service usage and quality assessments of more than thousand users over a period of 120 days. This allows to analyze evolutions in the usage behavior and perceived quality over time, which has not been done up to now for a widely-used, mobile, multimedia service. The results show a significant evolution over time of the number of calls, the call duration, and the quality assessment. The time of the call, the used network, and handovers during the call showed to have a significant influence on the users’ quality assessments.

Suggested Citation

  • Toon Pessemier & Isabelle Stevens & Lieven Marez & Luc Martens & Wout Joseph, 2016. "Quality assessment and usage behavior of a mobile voice-over-IP service," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 61(3), pages 417-432, March.
  • Handle: RePEc:spr:telsys:v:61:y:2016:i:3:d:10.1007_s11235-014-9961-9
    DOI: 10.1007/s11235-014-9961-9
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    Cited by:

    1. Carol Nash, 2020. "Report on Digital Literacy in Academic Meetings during the 2020 COVID-19 Lockdown," Challenges, MDPI, vol. 11(2), pages 1-24, September.
    2. Vijayalakshmi Chetlapalli & K. S. S. Iyer & Himanshu Agrawal, 2020. "Modelling time-dependent aggregate traffic in 5G networks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 73(4), pages 557-575, April.

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