Impairment Factor Framework for Wide-Band Speech Codecs

Möller, Sebastian; Raake, Alexander; Kitawaki, Nobuhiko; Takahashi, Akihiro; Wältermann, Marcel

doi:10.1109/tasl.2006.883262

Cited by 62 publications

(51 citation statements)

References 7 publications

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“…Based on this transformation, the updated maximum value for R (wideband) is 129 [7]; thus, the quality improvement introduced by wideband transmission is quantified on the R-scale. Expression (1) applied to wideband transmission undergoes some changes as following; the impairment parameter I s and the advantage factor A are not adequately analyzed yet, so both take a value equal to 0.…”

Section: E-modelmentioning

confidence: 99%

Revisiting VoIP QoE assessment methods: are they suitable for VoLTE?

Sánchez-Iborra

Cano

García-Haro

2016

NPA

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Voice over LTE (VoLTE) emerges as the basis for voice services in future cellular networks. At the same time, Quality of user Experience (QoE) assessment methods have notably evolved in the last years, especially for Voice over IP (VoIP) services. The question that rises is, are these models ready to be used for VoLTE? In this paper, we contribute to answer this question by: (i) providing a high level exploration of current objective non-intrusive models for Voice over IP (VoIP) QoE evaluation, (ii) highlighting the review of works aiming to improve the standardized E-model (ITU-T Rec. G.107 (06/2015)) and the examination of non-standardized solutions proposed by the research community, and (iii) bringing forth the challenges identified for the completion of a successful QoE evaluation approach according to modern VoIP services such as VoLTE.

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Section: E-modelmentioning

confidence: 99%

Revisiting VoIP QoE assessment methods: are they suitable for VoLTE?

Sánchez-Iborra

Cano

García-Haro

2016

NPA

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“…According to [19], for the wideband audio, the value of R 0,wb factor in equation (1) equals 129, thus, equation (1) can be rewritten as follows:…”

Section: Wb E-model: Speech Quality Assessment For Wideband Audiomentioning

confidence: 99%

“…The I e,ef f,wb is determined according to packet loss. According to [19], I e,ef f,wb is determined as follows:…”

Section: Wb E-model: Speech Quality Assessment For Wideband Audiomentioning

confidence: 99%

A New Non-intrusive Model for Measuring VoLTE Quality based on Wideband E-model

Nguyen¹,

Nguyen²,

Renault³

2016

CAE

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Long Term Evolution (LTE) was initially designed for a high data rates network. However, voice service is always a main service that brings a big benefit for mobile operators. Hence the deployment of Voice over LTE (VoLTE) is very essential and urgent. LTE network is a fully All-IP network, thus, the deployment of VoLTE is very complex, specially for guaranteeing of Quality of Service (QoS) to meet quality of experience of mobile users. The key purpose of this paper is to present an object, nonintrusive prediction model for VoLTE quality based on LTE-Sim framework and Wideband (WB) E-model. In order to simulate the experiment, we deployed LTE-Sim framework combining C programming in Matlab software. The outputs of the LTE-Sim will be the inputs of the WB E-model. The output of the WB E-model is user satisfaction via Mean Opinion Score (MOS). In addition, due to voice over LTE network (VoLTE) uses Adaptive Multi-Rate Wideband (AMR-WB) for vocoder while LTE-Sim supports only G.729 codec for narrow band, thus, we propose to add AMR-WB codec into LTE-Sim software. The simulation results show that the proposed model can predict voice quality in LTE network via the WB E-model. The proposed model does not refer to the original signal, thus, it is very suitable for predicting voice quality in LTE network for many different scenarios which are configured in the LTE-Sim framework. The proposed model is very suitable for predicting VoLTE quality for transmission planning, and for researchers in Laboratory.

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“…The value of R 0,wb factor for wideband audio in equation (1) equals 129 [20], thus, equation (1) can be rewritten as follows:…”

Section: B Wideband E-modelmentioning

confidence: 99%

“…The I e,ef f,wb is determined according to packet loss. According to [20], I e,ef f,wb is counted as the following formula:…”

Section: B Wideband E-modelmentioning

confidence: 99%

WE-MQS-VoIP Priority: An enhanced LTE Downlink Scheduler for voice services with the integration of VoIP priority mode

Nguyen¹,

Nguyen²,

Renault³

2016

ijacsa

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Abstract-The Long Term Evolution (LTE) is a high data rates and fully All-IP network. It is developed to support well to multimedia services such as Video, VoIP, Gaming, etc. So that, the real-time services such as VoIP, video, etc. need to be optimized. Nevertheless, the deployment of such live stream services having many challenges. Scheduling and allocating radio resource are very important in LTE network, especially with multimedia services such as VoIP. When voice service transmitted over LTE network, it is affected by many network impairments where there are three main factors including packet loss, delay, and jitter. This study proposes a new scheduler which is based on VoIP priority mode, Wideband (WB) E-model, QoS-and Channel-Aware (called WE-MQS-VoIP Priority scheduler) for voice services in LTE downlink direction. The proposed scheduling scheme is built based on the WB E-model and Maximum Queue Size (MQS). In addition, we integrate the VoIP priority mode into our scheduling scheme. Since the proposed scheduler considers the VoIP priority mode and user perception, thus, it improves significantly the system performance. The results demonstrate that the proposed scheduler not only meets QoS demands of voice calls but also outperforms Modified Largest Weighted Delay First (M-LWDF) in terms of delay, Packet Loss Rate (PLR) for all number of user (NU) and excepting NU equals 30, respectively. For Fairness Index (FI), cell throughput, and Spectral Efficiency (SE), the difference among the packet schedulers is not significant. The performance evaluation is compared in terms of Delay, PLR, Throughput, FI, and SE.

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Impairment Factor Framework for Wide-Band Speech Codecs

Cited by 62 publications

References 7 publications

Revisiting VoIP QoE assessment methods: are they suitable for VoLTE?

Revisiting VoIP QoE assessment methods: are they suitable for VoLTE?

A New Non-intrusive Model for Measuring VoLTE Quality based on Wideband E-model

WE-MQS-VoIP Priority: An enhanced LTE Downlink Scheduler for voice services with the integration of VoIP priority mode

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