E-model MOS Estimate Improvement through Jitter Buffer Packet Loss Modelling

Kovac, Adrian; Halas, Michal; Orgon, Milos; Vozňák, Miroslav

doi:10.15598/aeee.v9i5.542

Cited by 26 publications

(21 citation statements)

References 5 publications

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“…E-Model uses set of selected input parameters to calculate intermediate variable, R-factor, which is mostly converted to MOS-CQ value. Input parameters contribute to the final estimation of quality in additive manner as expressed in (9).…”

Section: E-model As Objective Measurement Methodsmentioning

confidence: 99%

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Effective Packet Loss Estimation on VoIP Jitter Buffer

Vozňák

Kovac

Halas

2012

NETWORKING 2012 Workshops

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Abstract. The paper deals with an influence of network jitter on effective packet loss in dejitter buffer. We analyze behavior of jitter buffers with and without packet reordering capability and quantify the additional packet loss caused by packets dropped in buffer on top of the measured network packet loss. We propose substitution of packet loss parameter P pl in ITU-T E-Model by effective packet loss P plef incorporating network jitter, a jitter buffer size and a packet size as additional input parameters for E-Model. IntroductionVoice over IP communication gains still greater importance in telecommunications industry. Lack of synchronization in comparison to TDM (Time-division Multiplexing) brings concerns about variable conditions on network which cause packet loss and fluctuations in delay (jitter). Jitter causes excess packet loss on receiving buffers depending on the buffer size and delay variance. When using E-Model as an objective method based purely on network parameters for speech quality assessment, effects of jitter are not incorporated in original E-Model. Estimated MOS (Mean Opinion Score) can be positively biased or be too optimistic about call quality under real IP network conditions. In our paper we propose methods of numerical approximation of general jitter buffer behavior. These approximations are used to quantify effective network packet loss P plef taking three additional network parameters on the input: jitter buffer size [ms]; voice packet size [ms] and network delay variance (jitter) [ms]. Selected Time-Related IP Network ParametersUnder time-related network parameters we understand packet transmission delay, mean interarrival time difference -jitter and secondarily packet loss, which can be understood as infinite delay of packet delivery. Based on practical experience of voice

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Section: E-model As Objective Measurement Methodsmentioning

confidence: 99%

“…1. For each codec and combination of QoS parameters values were simulated one-minute VoIP calls and repeated three times, from which data for evaluation were collected, overall 189 combinations of parameters were simulated [9], [10].…”

Section: Jitter Effects Simulation and Measurements Of Effective Packmentioning

confidence: 99%

Effective Packet Loss Estimation on VoIP Jitter Buffer

Vozňák

Kovac

Halas

2012

NETWORKING 2012 Workshops

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“…Using this information, each VoWiFi station estimates the QoS of the past period using Eq. 1 as done in [19] from the data obtained from RTCP reports. The output of this stage is the value of R .…”

Section: Three-step Optimization Proceduresmentioning

confidence: 99%

“…Tables with values for the constants B pl and I d can be found in [19]. After evaluating SAT and R the rest of the algorithm as described in Section IV is executed.…”

Section: B Algorithm Implementationmentioning

confidence: 99%

Improving the energy efficiency of VoIP applications in IEEE 802.11 networks through control of the packetization rate

Estepa

Madinabeitia

et al. 2017

Proceedings XIII Jornadas De Ingenieria Telematica - JITEL2017

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Abstract-This paper presents an adaptive algorithm that improves the energy efficiency of VoIP applications over IEEE 802.11 networks. The algorithm seeks to achieve the largest energy savings subject to reaching a minimum speech quality under the prevailing network conditions. The control mechanism used is the dynamic selection of the packet size during the communication.This algorithm has been implemented in an experimental testbed and the results demonstrate that our packetization period control algorithm can provide energy savings in uncongested IEEE 802.11 networks (up to 30%). Furthermore, under poor network conditions the algorithm can prolong the duration of the call before it is dropped at the expense of a higher energy consumption.Palabras Clave-Energy efficiency, VoIP, IEEE 802.11 jitel, telemática

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“…For admission control methods, we need to define objective parameters. The main goal of telecommunication operators is to ensure QoS parameters [8,9] on required levels together with effective bandwidth utilization. The admission control takes a key role in service provisioning (VoIP, IPTV).…”

Section: Introductionmentioning

confidence: 99%

Study of Admission Control Methods for IPTV Services

Chromy¹,

Wu²,

Cipov³

et al. 2017

Proceedings of the 3rd Czech-China Scientific Conference 2017

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The paper deals with admission control methods used in Internet Protocol (IP) Multimedia Subsystem. The purpose of implementing AC methods in IP Multimedia Subsystem (IMS) is to control the access of incoming connections to network resources. At the Institute of Telecommunications, we have built an experimental laboratory, which is used to test these methods. In this paper, we focus on Internet Protocol Television (IPTV) services; therefore, we have created a variable bit-rate IPTV traffic generator that is used as the input to the network, so we can test the behavior of selected AC methods. They are implemented in a simulated IPTV service provider access network, so we can examine the effects of variable bit-rate IPTV streams on the decisions made by those methods. To calculate the required bandwidth of an input stream, two simulation scenarios with different number of input packets were performed. One of these AC methods was modified where the peak input rate parameter of an IPTV stream was replaced by the average bit-rate of this stream. At the end of this paper, we discuss the achieved results.

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E-model MOS Estimate Improvement through Jitter Buffer Packet Loss Modelling

Cited by 26 publications

References 5 publications

Effective Packet Loss Estimation on VoIP Jitter Buffer

Effective Packet Loss Estimation on VoIP Jitter Buffer

Improving the energy efficiency of VoIP applications in IEEE 802.11 networks through control of the packetization rate

Study of Admission Control Methods for IPTV Services

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