Research of Monitoring VoIP Voice QoS

Jiang, Chunlei; Huang, Peng

doi:10.1109/icicis.2011.130

Cited by 11 publications

(12 citation statements)

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“…In this section, we will first give a brief description of the simplified E-model [6] and then we will describe our proposed improvements to the simplified E-model with the method of calculation of the various parameters used in the model in order to be applicable in monitoring purposes.…”

Section: Improved Simplified E-modelmentioning

confidence: 99%

“…Moreover, the voice processing is not related significantly to the instantaneous judgment of QoS. Thus, a simplified version of the E-model [6] has been introduced to focus on the most important parts and afterwards it was used in a monitoring system [2]. This model takes in to account the codec and the present network conditions which are the main two factors that affect the voice quality.…”

Section: A Simplified E-modelmentioning

confidence: 99%

“…We compared our monitoring system using MOS scores based on the codec's coefficients (see Table I) derived for 4 main codecs with the simplified version of the E-model that is used in monitoring purposes [1,6] and the PESQ scores. The graphs ( Figure 5-Figure 8) show our results for the 4 codecs.…”

Section: For R<0: Mos=1 Formentioning

confidence: 99%

“…Thus, simple versions of E-model [1,6] have been proposed to simplify the complexity of the original E-model [5] and focus on most important part that affect the VoIP call quality.…”

Section: Introductionmentioning

confidence: 99%

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Monitoring VoIP call quality using improved simplified E-model

Assem

Malone

Dunne

et al. 2013

2013 International Conference on Computing, Networking and Communications (ICNC)

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Abstract-ITU-T recommendation G.107 introduced the Emodel, a repeatable way to assess if a network is prepared to carry a VoIP call or not. Various studies show that the Emodel is complex with many factors to be used in monitoring purposes. Consequently, simplified versions of the E-model have been proposed to simplify the calculations and focus on the most important factors required for monitoring the call quality. In this paper, we propose simple correction to a simplified E-model; we show how to calculate the correction coefficients for 4 common codecs (G.711, G.723.1, G.726 and G.729A) and then we show that its predictions better match PESQ scores by implementing it in a monitoring application.

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Section: Improved Simplified E-modelmentioning

confidence: 99%

Section: A Simplified E-modelmentioning

confidence: 99%

Section: For R<0: Mos=1 Formentioning

confidence: 99%

“…Thus, simple versions of E-model [1,6] have been proposed to simplify the complexity of the original E-model [5] and focus on most important part that affect the VoIP call quality.…”

Section: Introductionmentioning

confidence: 99%

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Monitoring VoIP call quality using improved simplified E-model

Assem

Malone

Dunne

et al. 2013

2013 International Conference on Computing, Networking and Communications (ICNC)

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“…Jiang et al [7] introduce a voice quality monitoring system based on the SIP protocol, which uses RTP statistics to get MOS score using the simplified E-model. Kim et al [8] propose a network performance monitoring method that uses RTCP statistics to monitor multimedia services like VoIP and IPTV.…”

Section: Related Workmentioning

confidence: 99%

Online Estimation of VVoIP Quality-of-Experience via Network Emulation

Assem¹,

Adel²,

Jennings³

et al. 2013

24th IET Irish Signals and Systems Conference (ISSC 2013)

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-We describe a testing framework that can provide online estimates of audio and video call quality on network paths, without requiring either end-user involvement or prior availability of audio/video sequences or network traces. The framework includes a tool that emulates the audio and video traffic of IP calls and employs an extended E-Model to measure the audio quality and VQM to estimate video quality. Additionally, it can emulate network impairments to run experiments in different network conditions. Our experiment results show that the quality measurements acquired using the framework compare well to the most commonly applied industry standard for objective voice and video offline testing-PESQ and PSNR respectively.

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