Improved E-model for Monitoring Quality of Multi-Party VoIP communications


Adel, Mohamed and Assem, Haytham and Jennings, Brendan and Malone, David and Dunne, Jonathan and O'Sullivan, Pat (2013) Improved E-model for Monitoring Quality of Multi-Party VoIP communications. In: 2013 IEEE Globecom Workshops (GC Wkshps). IEEE, pp. 1180-1185. ISBN 9781479928514

[img]
Preview
Download (545kB) | Preview


Share your research

Twitter Facebook LinkedIn GooglePlus Email more...



Add this article to your Mendeley library


Abstract

Maintaining good Quality-of-Experience (QoE) is crucial for Voice-over-IP (VoIP) applications, particularly those operating across the public Internet. Accurate online estimation of QoE as perceived by end users allows VoIP applications take steps to improve QoE when it falls below acceptable levels. ITU-T recommendation G.107 introduced the E-model, which provides a means to assess QoE levels for two-party VoIP sessions. In this paper we provide an analysis of the accuracy of the E-model for multi-party VoIP sessions when all audio is processed by a centralised focus node.We analyse the impact of what we term the “Focus Transcoding Effect (FTE),” the “Focus Forwarding Effect (FFE),” and the number of end-points participating in the session. Through comparison to QoE metrics produced by the offline PESQ method for three common audio codecs, we show that the standard E-model does not provide accurate QoE assessment for multi-party VoIP sessions. We then introduce an improved Emodel for these codecs for multi-party VoIP sessions. We describe the implementation of the improved E-model in a QoE monitoring application, showing that it produces results similar to actual PESQ scores.

Item Type: Book Section
Additional Information: The authors were supported by Science Foundation Ireland (SFI) grants 07/SK/I1216a and 08/SRC/I1403.
Keywords: VoIP; QoE; PESQ; E-model; Multi-party;
Academic Unit: Faculty of Science and Engineering > Research Institutes > Hamilton Institute
Faculty of Science and Engineering > Mathematics and Statistics
Item ID: 6303
Identification Number: 10.1109/GLOCOMW.2013.6825153
Depositing User: Dr. David Malone
Date Deposited: 19 Aug 2015 15:57
Publisher: IEEE
Refereed: Yes
Funders: Science Foundation Ireland (SFI)
URI:

Repository Staff Only(login required)

View Item Item control page

Document Downloads

More statistics for this item...