Assessing the quality of VoIP transmission affected by playout buffer scheme and encoding scheme
|
|
- Lorena Andrews
- 8 years ago
- Views:
Transcription
1 Assessing the quality of VoIP transmission affected by playout buffer scheme and encoding scheme Miroslaw Narbutt, Mark Davis Communications Network Research Institute Dublin Institute of Technology Wireless Cluster Workshop, Maynooth June 21/22 nd 2
2 Application mechanisms used to improve QoS Network Factors Congestion Network Packet Loss Clock End-to-end Packet Loss Perceived Quality Network Variable delay Jitter buffer Terminal Factors Codec Echo path & control Distortion Echo Topology Network Fixed delay End-to-end Delay Delay responsibility for packet loss, delay and jitter is delegated to the end-points as long as the problems in the network remain below a certain level, actions at the end-systems can greatly mitigate their effect: ow bit-rate codecs Packet loss concealment - PLC echo cancellation de-jitter buffering Assessing the quality of VoIP transmission affected by playout buffer scheme and encoding scheme
3 Application mechanisms used to improve QoS Network Factors Congestion Network Packet Loss Clock End-to-end Packet Loss Perceived Quality Network Variable delay Jitter buffer Terminal Factors Codec Echo path & control Distortion Echo Topology Network Fixed delay End-to-end Delay Delay transmission impairments (delay, loss, jitter) affect conversational speech actions at the end-systems can greatly mitigate their effect: low bit-rate codecs Packet loss concealment - PLC echo cancellation de-jitter buffering Assessing the quality of VoIP transmission affected by playout buffer scheme and encoding scheme
4 Application mechanisms used to improve QoS Network Factors Congestion Network Packet Loss Clock End-to-end Packet Loss Perceived Quality Network Variable delay Jitter buffer Terminal Factors Codec Echo path & control Distortion Echo Topology Network Fixed delay End-to-end Delay Delay transmission impairments (delay, loss, jitter) affect conversational speech actions at the end-systems can greatly mitigate their effect: Assessing the quality of VoIP transmission affected by playout buffer scheme and encoding scheme
5 Application mechanisms used to improve QoS Network Factors Congestion Network Packet Loss Clock End-to-end Packet Loss Perceived Quality Network Variable delay Jitter buffer Terminal Factors Codec Echo path & control Distortion Echo Topology Network Fixed delay End-to-end Delay Delay transmission impairments (delay, loss, jitter) affect conversational speech actions at the end-systems can greatly mitigate their effect: low bit-rate codecs Assessing the quality of VoIP transmission affected by playout buffer scheme and encoding scheme
6 Application mechanisms used to improve QoS Network Factors Congestion Network Packet Loss Clock End-to-end Packet Loss Perceived Quality Network Variable delay Jitter buffer Terminal Factors Codec Echo path & control Distortion Echo Topology Network Fixed delay End-to-end Delay Delay transmission impairments (delay, loss, jitter) affect conversational speech actions at the end-systems can greatly mitigate their effect: low bit-rate codecs packet loss concealment - PLC Assessing the quality of VoIP transmission affected by playout buffer scheme and encoding scheme
7 Application mechanisms used to improve QoS Network Factors Congestion Network Packet Loss Clock End-to-end Packet Loss Perceived Quality Network Variable delay Jitter buffer Terminal Factors Codec Echo path & control Distortion Echo Topology Network Fixed delay End-to-end Delay Delay transmission impairments (delay, loss, jitter) affect conversational speech actions at the end-systems can greatly mitigate their effect: low bit-rate codecs packet loss concealment - PLC echo cancellation Assessing the quality of VoIP transmission affected by playout buffer scheme and encoding scheme
8 Application mechanisms used to improve QoS Network Factors Congestion Network Packet Loss Clock End-to-end Packet Loss Perceived Quality Network Variable delay Jitter buffer Terminal Factors Codec Echo path & control Distortion Echo Topology Network Fixed delay End-to-end Delay Delay transmission impairments (delay, loss, jitter) affect conversational speech actions at the end-systems can greatly mitigate their effect: low bit-rate codecs packet loss concealment - PLC echo cancellation de-jitter buffering Assessing the quality of VoIP transmission affected by playout buffer scheme and encoding scheme
9 Application mechanisms used to improve QoS Network Factors Congestion Network Packet Loss Clock End-to-end Packet Loss Perceived Quality Network Variable delay Jitter buffer Terminal Factors Codec Echo path & control Distortion Echo Topology Network Fixed delay End-to-end Delay Delay transmission impairments (delay, loss, jitter) affect conversational speech actions at the end-systems can greatly mitigate their effect: low bit-rate codecs packet loss concealment - PLC echo cancellation de-jitter buffering Assessing the quality of VoIP transmission affected by playout buffer scheme and encoding scheme
10 Application mechanisms used to improve QoS Network Factors Congestion Network Packet Loss Clock End-to-end Packet Loss Perceived Quality Network Variable delay Jitter buffer Terminal Factors Codec Echo path & control Distortion Echo Topology Network Fixed delay End-to-end Delay Delay transmission impairments (delay, loss, jitter) affect conversational speech actions at the end-systems can greatly mitigate their effect: low bit-rate codecs packet loss concealment - PLC echo cancellation de-jitter buffering Assessing the quality of VoIP transmission affected by playout buffer scheme and encoding scheme
11 Variable delays and de-jitter buffer Size of de-jitter buffer at VoIP receiver is critical! s y Many adaptive playout algorithms: should achieve the best possible trade-off between loss delay should maximize user satisfaction
12 Variable delays and de-jitter buffer Size of de-jitter buffer at VoIP receiver is critical! Too small -> decreases e2e delay but increases late packet loss Too large -> decreases late packet loss but increases e2e delay Many adaptive playout algorithms: should achieve the best possible trade-off between loss delay should maximize user satisfaction
13 Variable delays and de-jitter buffer Size of de-jitter buffer at VoIP receiver is critical! Too small -> decreases e2e delay but increases late packet loss Too large -> decreases late packet loss but increases e2e delay Many adaptive playout algorithms: should achieve the best possible trade-off between loss delay should maximize user satisfaction
14 Variable delays and de-jitter buffer Size of de-jitter buffer at VoIP receiver is critical! Too small -> decreases e2e delay but increases late packet loss Too large -> decreases late packet loss but increases e2e delay Many adaptive playout algorithms! should achieve the best possible trade-off WE NEED A METHOD to evaluate them! should maximize user satisfaction
15 Playout delay adjustment (when?) 1. fixed throughout the whole session; 2. adjusted during silence periods (per talkspurt) [Ramjee 94, Moon 98, ]; 3. adjusted within talkspurts (per packet) using packet scaling (TSM technique) [Yi Liang 3].
16 Playout delay adjustment (how?) Reactive algorithm [Ramjee 94] INPUT : delay : network delay of a current packet i d _ est = α d _ est + (1 α) delay i i 1 i v _ est = α v _ est + (1 α) d _ est delay OUTPUT i i 1 i i : p = d _ est + βv _ est : playout delay of a current talkspurt i i i Histogram-based algorithm [Moon 98] d a : Playout delay Past 1 1 delays are stored in a circular array, both the array and the histogram get updated once a new packet is received. Loss rate specified by user. Playout time chosen from the histogram according to the desired loss rate.
17 Problem to solve management of the playout buffer is not specified by any standard and is vendor specific many fixed and adaptive playout schemes exist, each with a different parameter set information on the implementation of the playout buffer in commercial applications is practically nonexistent (it has a strategic value from vendor perspective) WE NEED A METHOD TO EVALUATE THEM FROM AN END USER PERSPECTIVE
18 How? Listening-only tests do not take into account delay impairments PESQ do not take into account end-to-end one-way delay in its rating -> NOT RECOMMENDED to asses the effect of CONVERSATIONAL delay E-model relies on static transmission parameters and do not take into account dynamics of changing transmission impairments (delay,loss) PESQ+E-model hybrid solution requires a reference speech signal and does not work in real time old statistical methods focus on late packet loss vs. buffering delay trade-off only and do not provide a direct link to conversational speech quality Assessing the quality of VoIP transmission affected by playout buffer scheme and encoding scheme
19 Trade-off: late packet loss/buffering delay Fixed
20 Trade-off: late packet loss/buffering delay Fixed buffering delay
21 Trade-off: late packet loss/buffering delay late loss Fixed buffering delay
22 Trade-off: late packet loss/buffering delay late loss Fixed LOSS-DELAY TRADE-OFF LOSS buffering delay BUFFERING DELAY
23 Trade-off: late packet loss/buffering delay late loss Fixed LOSS-DELAY TRADE-OFF LOSS buffering delay BUFFERING DELAY
24 Trade-off: late packet loss/buffering delay late loss Fixed LOSS-DELAY TRADE-OFF LOSS buffering delay Adaptive BUFFERING DELAY
25 Trade-off: late packet loss/buffering delay late loss Fixed LOSS-DELAY TRADE-OFF LOSS buffering delay Adaptive BUFFERING DELAY buffering delay Assessing the quality of VoIP transmission affected by playout buffer scheme and encoding scheme
26 Trade-off: late packet loss/buffering delay late loss Fixed LOSS-DELAY TRADE-OFF LOSS buffering delay Adaptive late loss BUFFERING DELAY buffering delay Assessing the quality of VoIP transmission affected by playout buffer scheme and encoding scheme
27 Trade-off: late packet loss/buffering delay late loss Fixed LOSS-DELAY TRADE-OFF LOSS buffering delay Adaptive late loss BUFFERING DELAY buffering delay Assessing the quality of VoIP transmission affected by playout buffer scheme and encoding scheme
28 Trade-off: late packet loss/buffering delay late loss Fixed LOSS-DELAY TRADE-OFF LOSS buffering delay Adaptive late loss BUFFERING DELAY buffering delay Assessing the quality of VoIP transmission affected by playout buffer scheme and encoding scheme
29 Trade-off: late packet loss/buffering delay late loss Fixed LOSS-DELAY TRADE-OFF LOSS buffering delay Adaptive late loss BUFFERING DELAY good algorithm SHOULD: achieve the best possible loss-delay trade-off buffering delay Assessing the quality of VoIP transmission affected by playout buffer scheme and encoding scheme
30 Trade-off: late packet loss/buffering delay late loss Fixed LOSS-DELAY TRADE-OFF LOSS buffering delay late loss buffering delay Adaptive Assessing the quality of VoIP transmission affected by playout buffer scheme and encoding scheme BUFFERING DELAY good algorithm SHOULD: achieve the best possible loss-delay trade-off be well tuned to maximize user satisfaction
31 E-model, speech transmission categories, user satisfaction Assessing the quality of VoIP transmission affected by playout buffer scheme and encoding scheme Transmission rating factor R = (R Is) Id(echo,delay) Ie(codec, loss) + A Reduced to transmission impairments: R = Id(echo,delay) Delay Impairment Id vs. Delay TELR=4dB TELR=dB TELR=dB TELR=6dB TELR=6dB 6 4 Ie(codec, loss) Equipment Impairment Ie vs. Packet Loss Id Ie G.711 w/o PLC G GSM G.729A G.711 Bursty Loss w. PLC G.711 w. PLC Random Loss m2e delay [ms] 1 2 R-value Speech transmission quality Best High Medium Low Poor User satisfaction very some very dis many very dis almost all dis
32 Predicting time varying speech transmission quality s ] a y [m e l u t d p l a y o R ] % s [ lo Id Ie PLAYOUT DELAY packet delays playout delay average playout delay PACKET LOSS late lost time [s] 2 1 DELAY IMPAIRMENT EQUIPMENT IMPAIRMENT QUALITY vs. TIME time [s] 1. Playout buffer module calculates playout delays (m2e), average playout delays 2. and resulting average packet loss values for fixed time windows 3. E-model simulator calculates corresponding delay impairments Id and equipment impairments Ie. and resulting rating R Assessing the quality of VoIP transmission affected by playout buffer scheme and encoding scheme
33 Predicting time varying speech transmission quality s ] a y [m e l u t d p l a y o R ] % s [ lo Id Ie PLAYOUT DELAY packet delays playout delay average playout delay PACKET LOSS late lost time [s] 2 1 DELAY IMPAIRMENT EQUIPMENT IMPAIRMENT QUALITY vs. TIME time [s] 1. Playout buffer module calculates playout delays (m2e), average playout delays 2. and resulting average packet loss values for fixed time windows 3. E-model simulator calculates corresponding delay impairments Id and equipment impairments Ie. and resulting rating R Assessing the quality of VoIP transmission affected by playout buffer scheme and encoding scheme
34 Predicting time varying speech transmission quality s ] a y [m e l u t d p l a y o R ] % s [ lo Id Ie PLAYOUT DELAY packet delays playout delay average playout delay PACKET LOSS late lost time [s] 2 1 DELAY IMPAIRMENT EQUIPMENT IMPAIRMENT QUALITY vs. TIME time [s] 1. Playout buffer module calculates playout delays (m2e), average playout delays 2. and resulting average packet loss values for fixed time windows 3. E-model simulator calculates corresponding delay impairments Id and equipment impairments Ie. and resulting rating R Assessing the quality of VoIP transmission affected by playout buffer scheme and encoding scheme
35 Predicting time varying speech transmission quality s ] a y [m e l u t d p l a y o R ] % s [ lo Id Ie PLAYOUT DELAY packet delays playout delay average playout delay PACKET LOSS late lost time [s] 2 1 DELAY IMPAIRMENT EQUIPMENT IMPAIRMENT QUALITY vs. TIME time [s] 1. Playout buffer module calculates playout delays (m2e), average playout delays 2. and resulting average packet loss values for fixed time windows 3. E-model simulator calculates corresponding delay impairments Id and equipment impairments Ie. and resulting rating R Assessing the quality of VoIP transmission affected by playout buffer scheme and encoding scheme
36 Predicting time varying speech transmission quality s ] a y [m e l u t d p l a y o R ] % s [ lo Id Ie PLAYOUT DELAY packet delays playout delay average playout delay PACKET LOSS late lost time [s] 2 1 DELAY IMPAIRMENT EQUIPMENT IMPAIRMENT QUALITY vs. TIME time [s] 1. Playout buffer module calculates playout delays (m2e), average playout delays 2. and resulting average packet loss values for fixed time windows 3. E-model simulator calculates corresponding delay impairments Id and equipment impairments Ie. and resulting rating R Assessing the quality of VoIP transmission affected by playout buffer scheme and encoding scheme
37 Predicting time varying speech transmission quality s ] a y [m e l u t d p l a y o R ] % s [ lo Id Ie PLAYOUT DELAY packet delays playout delay average playout delay PACKET LOSS late lost time [s] 2 1 DELAY IMPAIRMENT EQUIPMENT IMPAIRMENT QUALITY vs. TIME time [s] 1. Playout buffer module calculates playout delays (m2e), average playout delays 2. and resulting average packet loss values for fixed time windows 3. E-model simulator calculates corresponding delay impairments Id and equipment impairments Ie. and resulting rating R Assessing the quality of VoIP transmission affected by playout buffer scheme and encoding scheme
38 E-model, speech transmission categories, user satisfaction Assessing the quality of VoIP transmission affected by playout buffer scheme and encoding scheme Transmission rating factor R = (R Is) Id(echo,delay) Ie(codec, loss) + A Reduced to transmission impairments: R = Id(echo,delay) Delay Impairment Id vs. Delay TELR=4dB TELR=dB TELR=dB TELR=6dB TELR=6dB 6 4 Ie(codec, loss) Equipment Impairment Ie vs. Packet Loss Id Ie G.711 w/o PLC G GSM G.729A G.711 Bursty Loss w. PLC G.711 w. PLC Random Loss m2e delay [ms] 1 2 R-value Speech transmission quality Best High Medium Low Poor User satisfaction very some very dis many very dis almost all dis
39 Quality contours for G.711 with PLC (random loss) TELR = 6 db TELR = db TELR = 6 db TELR = db TELR = 4 db not recommended almost all users dis many users dis some users dis very User Satisfaction Categories
40 Quality contours for G.711 with PLC (bursty loss) TELR = 6 db TELR = db TELR = 6 db TELR = db TELR = 4 db not recommended almost all users dis many users dis some users dis very User Satisfaction Categories
41 Quality contours for G.729A TELR = 6 db TELR = db TELR = 6 db TELR = db TELR = 4 db not recommended almost all users dis many users dis some users dis very User Satisfaction Categories
42 Quality contours for GSM TELR = 6 db TELR = db TELR = 6 db TELR = db TELR = 4 db not recommended almost all users dis many users dis some users dis very User Satisfaction Categories
43 Quality contours for G (6.4kbps) TELR = 6 db TELR = db TELR = 6 db TELR = db TELR = 4 db not recommended almost all users dis many users dis some users dis very User Satisfaction Categories
44 Quality contours for G.711 w/o PLC TELR = 6 db TELR = db TELR = 6 db TELR = db TELR = 4 db not recommended almost all users dis many users dis some users dis very User Satisfaction Categories
45 Predicting user satisfaction (proposed solution) ] s [% o t l e pa ck DELAY/LOSS DISTRIBUTION 2 1 ] s [% o t l e pa ck 1 QUALITY CONTOURS not recommended almost all dis many dis some dis very ] s [% o t l e pa ck DELAY/LOSS DISTRIBUTION 1 not recommended almost all dis many dis some dis very 27% 9% 27% 9% 27% USER SATISFACTION
46 Predicting user satisfaction (our solution) ] s [% o t l e pa ck DELAY/LOSS DISTRIBUTION 2 1 ] s [% o t l e pa ck 1 QUALITY CONTOURS not recommended almost all dis many dis some dis very ] s [% o t l e pa ck DELAY/LOSS DISTRIBUTION 1 not recommended almost all dis many dis some dis very 27% 9% 27% 9% 27% USER SATISFACTION
47 Predicting user satisfaction (our solution) ] s [% o t l e pa ck DELAY/LOSS DISTRIBUTION 2 1 ] s [% o t l e pa ck 1 QUALITY CONTOURS not recommended almost all dis many dis some dis very ] s [% o t l e pa ck DELAY/LOSS DISTRIBUTION 1 not recommended almost all dis many dis some dis very 27% 9% 27% 9% 27% USER SATISFACTION
48 Predicting user satisfaction (our solution) ] s [% o t l e pa ck DELAY/LOSS DISTRIBUTION 2 1 ] s [% o t l e pa ck 1 QUALITY CONTOURS not recommended almost all dis many dis some dis very ] s [% o t l e pa ck DELAY/LOSS DISTRIBUTION 1 not recommended almost all dis many dis some dis very 27% 9% 27% 9% 27% USER SATISFACTION
49 Predicting user satisfaction (our solution) ] s [% o t l e pa ck DELAY/LOSS DISTRIBUTION 2 1 ] s [% o t l e pa ck 1 QUALITY CONTOURS not recommended almost all dis many dis some dis very ] s [% o t l e pa ck DELAY/LOSS DISTRIBUTION 1 not recommended almost all dis many dis some dis very 27% 9% 27% 9% 27% USER SATISFACTION
50 Algorithms evaluation testing environment prerecorded network delays, marker bits 23/7/1 11: late packets loss [%] # =1 # =2 # =4 # =1 1 loss/delay trade-off LOSS/DELAY TRADE-OFF: histogram b. algs. concord alg. dynamic α Moon's alg av. buffering delay [ms] time varying quality of the call α=.9982, β=4. R PLAYOUT DELAYS AND PACKETS LOSS DISTRIBUTION time [s] 1 not recommended almost all dis many dis some dis very QUALITY vs. TIME 4% 3% 7% 44% USER SATISFACTION User satisfaction for G.711 w. PLC (random loss) & TELR = 6 18% 24% user satisfaction playout buffer simulator packet loss playout delays E-model simulator parameters parameters: encoder, echo
51 Experiment in the wireless LAN Measurement setup Influence of the background traffic on delay variation and jitter
52 Loss/delay trade-off (various algorithms) ] s [% o t l e pa ck te la LOSS vs BUFFERING DELAY: reactive alg. α=.9 α=.98 α=.99 α=.9982 dynamic α alg. Bolot's alg. Ramjee's alg. ] s [% o t l e pa ck te la LOSS vs BUFFERING DELAY: histogram b. alg. #= #=1 #=2 #=4 #=1 dynamic α alg. concord alg. Moon's alg av. buffering delay [ms] LOSS vs PLAYOUT DELAY on QUALITY CONTOURS: reactive alg. 14 dynamic α alg. Bolot's alg. 12 α=.9 Ramjee's alg. α=.98 ] not recommended 1 s [% α=.99 almost all users dis many users dis o t l some users dis 8 e pa ck very 6 te la 4 α= av av. buffering delay [ms] LOSS vs PLAYOUT DELAY on QUALITY CONTOURS: hist. b. alg. 14 dynamic α alg. concord alg. 12 #= Moon's alg. #=1 ] not recommended 1 s [% #=2 almost all users dis #=4 #=1 many users dis o t l some users dis 8 e pa ck very 6 te la av.
53 Transmission quality vs. time and user satisfaction (Ramjee s:.9, Bolot s, dynamic α, Moon s: #2/1% Assessing the quality of VoIP transmission affected by playout buffer scheme and encoding scheme QUALITY vs. TIME QUALITY vs. TIME R R 6 6 ] s [% o t l e pa ck DELAY/LOSS DISTR. time [s] not recommended almost all dis many dis some dis very % 6% 6% 12% 16% 2% USER SATISFACTION ] s [% o t l e pa ck DELAY/LOSS DISTR. time [s] not recommended almost all dis many dis some dis very % 3% 3% 1% 2% 6% USER SATISFACTION 1 QUALITY vs. TIME 1 QUALITY vs. TIME 8 8 R 6 R 6 ] s [% o t l e pa ck DELAY/LOSS DISTR. time [s] not recommended almost all dis many dis some dis very % 1% < 1% 24% 6% USER SATISFACTION ] s [% o t l e pa ck DELAY/LOSS DISTR. time [s] not recommended almost all dis many dis some dis very % 3% 3% 2% 1% 32% USER SATISFACTION
54 USER SATISFACTION CATEGORIES CODEC PLAYOUT MECHANISM not recommended [% time] almost all dis [% time] many dis [% time] some dis [% time] [% time] very [% time] G.711 Ramjee s alg. α= Ramjee s alg. α= Concord alg Moon s alg Bolot s alg dynamic α alg G Ramjee s alg. α= Ramjee s alg. α= Concord alg Moon s alg Bolot s alg dynamic α G.729A Ramjee s alg. α= Ramjee s alg. α= Concord alg Moon s alg Bolot s alg dynamic α alg
55 Summary We need a method to evaluate both playout buffer algorithms and encoding scheme in end-to-end VoIP system statistical loss/delay metrics (average delay/average loss) give little information on user satisfaction listening-only tests and PESQ don t take into account interactivity E-model relies on static transmission impairments that do not correspond to dynamics of de-jitter buffering We proposed extended version of the E-model (short-time version) It provides direct link to speech transmission quality by estimating user satisfaction. User satisfaction is estimated from varying transmission impairments (playout delay, resulting packet loss) and takes into account encoding scheme Pictorial representation of playout delays and packet loss gives more detailed view on the performance of a given playout algorithm The proposed method can work in real time and off-line on delay traces
56 Conclusions We compared the performance of three audio codecs (ITU-T G.711, G.723.1, and G.729A) and various buffering schemes in a WLAN environment under varying load conditions using the extended version of the ITU-T E-model methodology. Results show that the use of the G.711 audio codec in conjunction with dynamic alpha adaptive playout scheme gives the highest user satisfaction of the Voice over WLAN schemes considered.
57 Thank you.
58
59 Performance comparison Assessing the quality of VoIP transmission affected by playout buffer scheme and encoding scheme
60 DELAY/LOSS DISTRIBUTION not recommended almost all dis many dis some dis very 2% 44% 3% 7% 44% 4 2 USER SATISFACTION DELAY/LOSS DISTRIBUTION not recommended almost all dis many dis some dis 1% very 2% 27% 4% % % USER SATISFACTION Assessing the quality of VoIP transmission affected by playout buffer scheme and encoding scheme
61 QoS Concerns and Challenges Communication over best-effort networks Delay Impairs interactivity of conversational services Voice over IP: recommended one way delay < ms [ITU-T G.114] Packet loss Impairs perceptual quality Delay jitter Obstructs sequential and continuous media output Assessing the quality of VoIP transmission affected by playout buffer scheme and encoding scheme
Gauging VoIP call quality from 802.11 WLAN resource usage
Gauging VoIP call quality from 82.11 WLAN resource usage Miroslaw Narbutt and Mark Davis Communications Network Research Institute School of Electronic and Communications Engineering Dublin Institute of
More informationBasic principles of Voice over IP
Basic principles of Voice over IP Dr. Peter Počta {pocta@fel.uniza.sk} Department of Telecommunications and Multimedia Faculty of Electrical Engineering University of Žilina, Slovakia Outline VoIP Transmission
More informationAssessment of VoIP Quality over Internet Backbones
Assessment of VoIP Quality over Internet Backbones Athina Markopoulou & Fouad Tobagi Electrical Engineering Dept. Stanford University Mansour Karam RouteScience Technologies, Inc. INFOCOM 2002, 06/25/02
More informationAdaptive Rate Voice over IP Quality Management Algorithm
98 Adaptive Rate Voice over IP Quality Management Algorithm Eugene S. Myakotnykh Centre for Quantifiable Quality of Service in Communication Systems (Q2S) 1, Norwegian University of Science and Technology,
More informationPlayout Controller QoS at the IP Edge Points For networks with packet loss and jitter Henrik Åström GLOBAL IP SOUND
Playout Controller QoS at the IP Edge Points For networks with packet loss and jitter Henrik Åström GLOBAL IP SOUND Speech Processing, Transmission and Quality Aspects (STQ) Workshop Feb 2003 Outline VoIP
More informationTraffic Characterization and Perceptual Quality Assessment for VoIP at Pakistan Internet Exchange-PIE. M. Amir Mehmood
Traffic Characterization and Perceptual Quality Assessment for VoIP at Pakistan Internet Exchange-PIE M. Amir Mehmood Outline Background Pakistan Internet Exchange - PIE Motivation Preliminaries Our Work
More informationVoice and Fax/Modem transmission in VoIP networks
Voice and Fax/Modem transmission in VoIP networks Martin Brand A1Telekom Austria ETSI 2011. All rights reserved Name : Martin Brand Position: Senior IT Specialist at A1 Telekom Vice Chairman ETSI TC INT
More informationDelivering reliable VoIP Services
QoS Tips and Tricks for VoIP Services: Delivering reliable VoIP Services Alan Clark CEO, Telchemy alan.d.clark@telchemy.com 1 Objectives Clear understanding of: typical problems affecting VoIP service
More informationFundamentals of VoIP Call Quality Monitoring & Troubleshooting. 2014, SolarWinds Worldwide, LLC. All rights reserved. Follow SolarWinds:
Fundamentals of VoIP Call Quality Monitoring & Troubleshooting 2014, SolarWinds Worldwide, LLC. All rights reserved. Introduction Voice over IP, or VoIP, refers to the delivery of voice and multimedia
More informationMultiDSLA. Measuring Network Performance. Malden Electronics Ltd
MultiDSLA Measuring Network Performance Malden Electronics Ltd The Business Case for Network Performance Measurement MultiDSLA is a highly scalable solution for the measurement of network speech transmission
More information12 Quality of Service (QoS)
Burapha University ก Department of Computer Science 12 Quality of Service (QoS) Quality of Service Best Effort, Integrated Service, Differentiated Service Factors that affect the QoS Ver. 0.1 :, prajaks@buu.ac.th
More informationTroubleshooting Common Issues in VoIP
Troubleshooting Common Issues in VoIP 2014, SolarWinds Worldwide, LLC. All rights reserved. Voice over Internet Protocol (VoIP) Introduction Voice over IP, or VoIP, refers to the delivery of voice and
More informationQoS Mapping of VoIP Communication using Self-Organizing Neural Network
QoS Mapping of VoIP Communication using Self-Organizing Neural Network Masao MASUGI NTT Network Service System Laboratories, NTT Corporation -9- Midori-cho, Musashino-shi, Tokyo 80-88, Japan E-mail: masugi.masao@lab.ntt.co.jp
More informationNew Models for Perceived Voice Quality Prediction and their Applications in Playout Buffer Optimization for VoIP Networks
New Models for Perceived Voice Quality Prediction and their Applications in Playout Buffer Optimization for VoIP Networks Lingfen Sun and Emmanuel Ifeachor Centre for Signal Processing & Multimedia Communication
More informationNew Models for Perceived Voice Quality Prediction and their Applications in Playout Buffer Optimization for VoIP Networks
New Models for Perceived Voice Quality Prediction and their Applications in Playout Buffer Optimization for VoIP Networks Dr. Lingfen Sun Prof Emmanuel Ifeachor University of Plymouth United Kingdom {L.Sun;
More informationDigital Audio and Video Data
Multimedia Networking Reading: Sections 3.1.2, 3.3, 4.5, and 6.5 CS-375: Computer Networks Dr. Thomas C. Bressoud 1 Digital Audio and Video Data 2 Challenges for Media Streaming Large volume of data Each
More informationSIP Trunking and Voice over IP
SIP Trunking and Voice over IP Agenda What is SIP Trunking? SIP Signaling How is Voice encoded and transported? What are the Voice over IP Impairments? How is Voice Quality measured? VoIP Technology Confidential
More informationETSI TS 101 329-2 V1.1.1 (2000-07)
TS 101 329-2 V1.1.1 (2000-07) Technical Specification Telecommunications and Internet Protocol Harmonization Over Networks (TIPHON); End to End Quality of Service in TIPHON Systems; Part 2: Definition
More informationMonitoring VoIP Call Quality Using Improved Simplified E-model
Monitoring VoIP Call Quality Using Improved Simplified E-model Haytham Assem, David Malone Hamilton Institute, National University of Ireland, Maynooth Hitham.Salama.2012, David.Malone@nuim.ie Jonathan
More informationEstimation of Voice over IP Quality in the Netherlands
Estimation of Voice over IP Quality in the Netherlands X. Zhou,F.Muller,R.E.Kooij,,andP.VanMieghem Delft University of Technology, P.O. Box 0, 00 GA Delft, The Netherlands {X.Zhou, F.Muller, R.E.Kooij,
More informationWhite Paper. ETSI Speech Quality Test Event Calling Testing Speech Quality of a VoIP Gateway
White Paper ETSI Speech Quality Test Event Calling Testing Speech Quality of a VoIP Gateway A white paper from the ETSI 3rd SQTE (Speech Quality Test Event) Version 1 July 2005 ETSI Speech Quality Test
More informationCurso de Telefonía IP para el MTC. Sesión 2 Requerimientos principales. Mg. Antonio Ocampo Zúñiga
Curso de Telefonía IP para el MTC Sesión 2 Requerimientos principales Mg. Antonio Ocampo Zúñiga Factors Affecting Audio Clarity Fidelity: Audio accuracy or quality Echo: Usually due to impedance mismatch
More informationIntroduction. Impact of Link Failures on VoIP Performance. Outline. Introduction. Related Work. Outline
Impact of Link Failures on VoIP Performance International Workshop on Network and Operating System Support for Digital Audio and Video (NOSSDAV) C. Boutremans, G. Iannaccone and C. Diot Sprint ATL May
More informationVoice over IP Quality of Service Using Active Queue Management
VI International Telecommunications Symposium (ITS2006), September 3-6, 2006, Fortaleza-CE, Brazil 1 Voice over IP Quality of Service Using Active Queue Management Vitalio Alfonso Reguera, Félix F. Álvarez
More informationAn Analysis of Error Handling Techniques in Voice over IP
An Analysis of Error Handling Techniques in Voice over IP Martin John Lipka ABSTRACT The use of Voice over IP (VoIP) has been growing in popularity, but unlike its wired circuit-switched telephone network
More informationA New Adaptive Redundancy Control Algorithm For VoIP Applications
A New Adaptive Redundancy Control Algorithm For VoIP Applications Haytham Assem, David Malone Hamilton Institute, National University of Ireland Maynooth, Ireland Email: {Hitham.Salama.2012, David.Malone}@nuim.ie
More informationChoosing the Right Audio Codecs for VoIP over cdma2000 Networks:
Choosing the Right Audio Codecs for VoIP over cdma2000 Networks: System capacity, Voice quality, Delay, and Transcoding issues Dr. Sassan Ahmadi NOKIA Inc. sassan.ahmadi@nokia.com February 8, 2005 1 2005
More informationEvaluating Data Networks for Voice Readiness
Evaluating Data Networks for Voice Readiness by John Q. Walker and Jeff Hicks NetIQ Corporation Contents Introduction... 2 Determining Readiness... 2 Follow-on Steps... 7 Summary... 7 Our focus is on organizations
More informationMULTI-STREAM VOICE OVER IP USING PACKET PATH DIVERSITY
MULTI-STREAM VOICE OVER IP USING PACKET PATH DIVERSITY Yi J. Liang, Eckehard G. Steinbach, and Bernd Girod Information Systems Laboratory, Department of Electrical Engineering Stanford University, Stanford,
More informationQOS Requirements and Service Level Agreements. LECTURE 4 Lecturer: Associate Professor A.S. Eremenko
QOS Requirements and Service Level Agreements LECTURE 4 Lecturer: Associate Professor A.S. Eremenko Application SLA Requirements Different applications have different SLA requirements; the impact that
More informationSTUDIES TOWARD IMPROVED VoIP SERVICES FOR FUTURE COMBAT SYSTEMS. Robert G. Cole and Subramaniam Kandaswamy JHU Applied Physics Laboratory Laurel, MD
STUDIES TOWARD IMPROVED VoIP SERVICES FOR FUTURE COMBAT SYSTEMS Robert G. Cole and Subramaniam Kandaswamy JHU Applied Physics Laboratory Laurel, MD Alan Clark Telchemy, Inc. Suwanee, GA ABSTRACT In this
More informationApplication Notes. Introduction. Sources of delay. Contents. Impact of Delay in Voice over IP Services VoIP Performance Management.
Application Notes Title Series Impact of Delay in Voice over IP Services VoIP Performance Management Date January 2006 Overview This application note describes the sources of delay in Voice over IP services,
More informationPerformance Analysis of Interleaving Scheme in Wideband VoIP System under Different Strategic Conditions
Performance Analysis of Scheme in Wideband VoIP System under Different Strategic Conditions Harjit Pal Singh 1, Sarabjeet Singh 1 and Jasvir Singh 2 1 Dept. of Physics, Dr. B.R. Ambedkar National Institute
More informationQoS issues in Voice over IP
COMP9333 Advance Computer Networks Mini Conference QoS issues in Voice over IP Student ID: 3058224 Student ID: 3043237 Student ID: 3036281 Student ID: 3025715 QoS issues in Voice over IP Abstract: This
More informationPerformance Evaluation of AODV, OLSR Routing Protocol in VOIP Over Ad Hoc
(International Journal of Computer Science & Management Studies) Vol. 17, Issue 01 Performance Evaluation of AODV, OLSR Routing Protocol in VOIP Over Ad Hoc Dr. Khalid Hamid Bilal Khartoum, Sudan dr.khalidbilal@hotmail.com
More informationHow to Measure Network Performance by Using NGNs
Speech Quality Measurement Tools for Dynamic Network Management Simon Broom, Mike Hollier Psytechnics, 23 Museum Street, Ipswich, Suffolk, UK IP1 1HN Phone +44 (0)1473 261800, Fax +44 (0)1473 261880 simon.broom@psytechnics.com
More informationClearing the Way for VoIP
Gen2 Ventures White Paper Clearing the Way for VoIP An Alternative to Expensive WAN Upgrades Executive Overview Enterprises have traditionally maintained separate networks for their voice and data traffic.
More informationOptimization of VoIP over 802.11e EDCA based on synchronized time
Optimization of VoIP over 802.11e EDCA based on synchronized time Padraig O Flaithearta, Dr. Hugh Melvin Discipline of Information Technology, College of Engineering and Informatics, National University
More informationPERFORMANCE ANALYSIS OF VOIP TRAFFIC OVER INTEGRATING WIRELESS LAN AND WAN USING DIFFERENT CODECS
PERFORMANCE ANALYSIS OF VOIP TRAFFIC OVER INTEGRATING WIRELESS LAN AND WAN USING DIFFERENT CODECS Ali M. Alsahlany 1 1 Department of Communication Engineering, Al-Najaf Technical College, Foundation of
More informationAnalyzing Mission Critical Voice over IP Networks. Michael Todd Gardner
Analyzing Mission Critical Voice over IP Networks Michael Todd Gardner Organization What is Mission Critical Voice? Why Study Mission Critical Voice over IP? Approach to Analyze Mission Critical Voice
More informationVoIP 101. E911-Enhanced 911- Used for providing emergency service on cellular and internet voice calls.
If you ve been researching phone systems for awhile, you ve probably heard the term VoIP. What s the definition? Do you need certain hardware for it to work? There are a few questions that should be answered
More informationstart of a talkspurt as given by (2). (1) (2)
An Evaluation of the Potential of Synchronized Time to Improve Voice Over IP Quality Hugh Melvin and Liam Murphy Abstract Delivering PSTN-like quality over current besteffort Internet infrastructure presents
More informationAchieving PSTN Voice Quality in VoIP
Achieving PSTN Voice Quality in VoIP Voice over Internet Protocol (VoIP) is being widely deployed to offer users low-cost alternatives for long-distance and international telephone calls. However, for
More informationNetwork administrators must be aware that delay exists, and then design their network to bring end-to-end delay within acceptable limits.
Delay Need for a Delay Budget The end-to-end delay in a VoIP network is known as the delay budget. Network administrators must design a network to operate within an acceptable delay budget. This topic
More informationSTANDPOINT FOR QUALITY-OF-SERVICE MEASUREMENT
STANDPOINT FOR QUALITY-OF-SERVICE MEASUREMENT 1. TIMING ACCURACY The accurate multi-point measurements require accurate synchronization of clocks of the measurement devices. If for example time stamps
More informationPerformance Analysis Proposal
1. Title Performance Analysis Proposal Performance Analysis of P2P VoIP Applications 2. Objective To evaluate the dynamic behavior (i.e., CODEC usage) of VoIP P2P applications (e.g. Skype, Google Talk)
More informationCOMPARISONS OF FEC AND CODEC ROBUSTNESS ON VOIP QUALITY AND BANDWIDTH EFFICIENCY
COMPARISONS OF FEC AND CODEC ROBUSTNESS ON VOIP QUALITY AND BANDWIDTH EFFICIENCY WENYU JIANG AND HENNING SCHULZRINNE Columbia University, Department of Computer Science 121 Amsterdam Ave, Mail Code 001,
More informationIP Telephony v1.0 Scope and Sequence. Cisco Networking Academy Program
IP Telephony v1.0 Scope and Sequence Cisco Networking Academy Program Table of Content COURSE OVERVIEW...4 Course Description...4 Course Objectives...4 Target Audience...5 Prerequisites...5 Lab Requirements...5
More informationPerceived Speech Quality Prediction for Voice over IP-based Networks
Perceived Speech Quality Prediction for Voice over IP-based Networks Lingfen Sun and Emmanuel C. Ifeachor Department of Communication and Electronic Engineering, University of Plymouth, Plymouth PL 8AA,
More informationANALYSIS OF LONG DISTANCE 3-WAY CONFERENCE CALLING WITH VOIP
ENSC 427: Communication Networks ANALYSIS OF LONG DISTANCE 3-WAY CONFERENCE CALLING WITH VOIP Spring 2010 Final Project Group #6: Gurpal Singh Sandhu Sasan Naderi Claret Ramos (gss7@sfu.ca) (sna14@sfu.ca)
More informationQoS in VoIP. Rahul Singhai Parijat Garg
QoS in VoIP Rahul Singhai Parijat Garg Outline Introduction The VoIP Setting QoS Issues Service Models Techniques for QoS Voice Quality Monitoring Sample solution from industry Conclusion Introduction
More informationVoice Quality Evaluation of a Call Using Fuzzy Logic
International Journal of Networks and Communications 2012, 2(2): 7-12 DOI: 10.5923/j.ijnc.20120202.02 Voice Quality Evaluation of a Call Using Fuzzy Logic Oyetade Durojaiye *, Elizabeth. N. Onwuka Telecommunications
More informationMeasuring Data and VoIP Traffic in WiMAX Networks
JOURNAL OF TELECOMMUNICATIONS, VOLUME 2, ISSUE 1, APRIL 2010 Measuring Data and VoIP Traffic in WiMAX Networks 1 Iwan Adhicandra Abstract Due to its large coverage area, low cost of deployment and high
More informationVoice Quality Planning for NGN including Mobile Networks
Voice Quality Planning for NGN including Mobile Networks Ivan Pravda 1, Jiri Vodrazka 1, 1 Czech Technical University of Prague, Faculty of Electrical Engineering, Technicka 2, 166 27 Prague 6, Czech Republic
More informationStudy of the impact of UMTS Best Effort parameters on QoE of VoIP services
Study of the impact of UMTS Best Effort parameters on QoE of VoIP services Jose Oscar Fajardo, Fidel Liberal, Nagore Bilbao Department of Electronics and Telecommunciations, University of the Basque Country
More informationPerformance Evaluation of VoIP Services using Different CODECs over a UMTS Network
Performance Evaluation of VoIP Services using Different CODECs over a UMTS Network Jianguo Cao School of Electrical and Computer Engineering RMIT University Melbourne, VIC 3000 Australia Email: j.cao@student.rmit.edu.au
More informationReal Time Analysis of VoIP System under Pervasive Environment through Spectral Parameters
Real Time Analysis of VoIP System under Pervasive Environment through Spectral Parameters Harjit Pal Singh Department of Physics Dr.B.R.Ambedkar National Institute of Technology Jalandhar, India Sarabjeet
More informationUsing Optimization to Achieve Efficient Quality of Service in Voice over IP Networks
Using Optimization to Achieve Efficient Quality of Service in Voice over IP Networks Michael Todd Gardner*, Victor S. Frost**, and David W. Petr** **Information and Telecommunications Technology Center
More informationApplication Note. Pre-Deployment and Network Readiness Assessment Is Essential. Types of VoIP Performance Problems. Contents
Title Six Steps To Getting Your Network Ready For Voice Over IP Date January 2005 Overview This provides enterprise network managers with a six step methodology, including predeployment testing and network
More informationImproving VoIP Quality Through Path Switching
University of Pennsylvania ScholarlyCommons Departmental Papers (ESE) Department of Electrical & Systems Engineering March 2005 Improving VoIP Quality Through Path Switching Shu Tao University of Pennsylvania
More informationAssessing the Quality of Voice Communications over Internet Backbones
Assessing the Quality of Voice Communications over Internet Backbones Athina P. Markopoulou, Member, IEEE, Fouad A. Tobagi, Fellow, IEEE, Mansour J. Karam, Member, IEEE Abstract As the Internet evolves
More informationStatistical Measurement Approach for On-line Audio Quality Assessment
Statistical Measurement Approach for On-line Audio Quality Assessment Lopamudra Roychoudhuri, Ehab Al-Shaer and Raffaella Settimi School of Computer Science, Telecommunications and Information Systems,
More informationVoIP on WIFI. Christian Hoene September 13 th, 2004 UNITN DIT, Trento. Motivation: Semantic data-link Determining VoIP Quality
VoIP on WIFI Christian Hoene September 13 th, 2004 UNITN DIT, Trento Technische Universität Berlin URL: www.tkn.tu-berlin.de 1 Content Motivation: Semantic data-link Determining VoIP Quality Perceptual
More informationService resiliency and reliability Quality of Experience Modelling requirements A PlanetLab proposal. PDCAT'08 - Dunedin December 1-4, 2008
PlaNetLab Options from Massey University Richard Harris Presentation Outline Service resiliency and reliability Quality of Experience Modelling requirements A PlanetLab proposal PDCAT'2008 Dunedin 2 (c)
More informationMaster's thesis summary Performance Evaluation of VoIP Quality Schemes
Cairo University Faculty of Computers and Information Information Technology Department Master's thesis summary Performance Evaluation of VoIP Quality Schemes Submitted by Esa Sabry El-Metwally El-Metwally
More informationVoIP QoS. Version 1.0. September 4, 2006. AdvancedVoIP.com. sales@advancedvoip.com support@advancedvoip.com. Phone: +1 213 341 1431
VoIP QoS Version 1.0 September 4, 2006 AdvancedVoIP.com sales@advancedvoip.com support@advancedvoip.com Phone: +1 213 341 1431 Copyright AdvancedVoIP.com, 1999-2006. All Rights Reserved. No part of this
More informationInternational Telecommunication Union. Common VoIP Metrics. Alan Clark. CEO, Telchemy
International Telecommunication Union Common VoIP Metrics Alan Clark CEO, Telchemy Workshop on End-to-End Quality of Service.What is it? How do we get it? Geneva, 1-3 October 2003 Summary ITU-T o Typical
More informationKnowledge Is Power: Do what s best for the client.
Knowledge Is Power: Do what s best for the client. 1. Understanding Voice and Data Differences Even when they are carried on the same network, voice traffic and data traffic cannot be handled the same
More informationRequirements for the Transmission of Streaming Video in Mobile Wireless Networks
Requirements for the Transmission of Streaming Video in Mobile Wireless Networks Vasos Vassiliou, Pavlos Antoniou, Iraklis Giannakou, and Andreas Pitsillides Networks Research Group Computer Science Department
More informationEnterprise-Class Telephony on Wireless LANs. Tom Alexander CTO VeriWave, Inc. The Leader in Wireless LAN Testing
Enterprise-Class Telephony on Wireless LANs Tom Alexander CTO VeriWave, Inc. The Leader in Wireless LAN Testing SERIAL SERIAL ETHERNET ETHERNET The Converging Network Voice over IP (VoIP) enables convergence
More informationAgilent Technologies Performing Pre-VoIP Network Assessments. Application Note 1402
Agilent Technologies Performing Pre-VoIP Network Assessments Application Note 1402 Issues with VoIP Network Performance Voice is more than just an IP network application. It is a fundamental business and
More informationUnderstanding the Transition From PESQ to POLQA. An Ascom Network Testing White Paper
Understanding the Transition From PESQ to POLQA An Ascom Network Testing White Paper By Dr. Irina Cotanis Prepared by: Date: Document: Dr. Irina Cotanis 6 December 2011 NT11-22759, Rev. 1.0 Ascom (2011)
More informationCommunications Test Equipment White Paper
XPI Solutions for Multi-Service/Access Communications Test Equipment White Paper s Addressing VoIP Speech Quality with Non-intrusive Measurements by John Anderson Product Marketing Manager Agilent Technologies
More informationSources: Chapter 6 from. Computer Networking: A Top-Down Approach Featuring the Internet, by Kurose and Ross
Multimedia Communication Multimedia Systems(Module 5 Lesson 2) Summary: H Internet Phone Example Making the Best use of Internet s Best-Effort Service. Sources: H Chapter 6 from Computer Networking: A
More informationPerformance Measurement and Analysis of H.323 Traffic
Performance Measurement and Analysis of H.323 Traffic Prasad Calyam 1, Mukundan Sridharan 2, Weiping Mandrawa 1, and Paul Schopis 1 1 OARnet, 1224 Kinnear Road,Columbus, Ohio 43212. {pcalyam,wmandraw,pschopis}@oar.net
More informationImproving VoIP Quality Through Path Switching
Improving VoIP Quality Through Path Switching Shu Tao, Kuai Xu, Antonio Estepa, Teng Fei Lixin Gao, Roch Guérin, Jim Kurose, Don Towsley, Zhi-Li Zhang Abstract The current best-effort Internet cannot readily
More informationMeasuring VoIP QoS. Going Beyond Can You Hear Me Now? Kaynam Hedayat. MPLScon May 2005
Measuring VoIP QoS Going Beyond Can You Hear Me Now? Kaynam Hedayat MPLScon May 2005 Overview Why Real-Time VoIP Quality Assurance Matters? Challenges - Going Beyond Can You Hear Me Now? Monitoring Technologies
More informationOvercoming Barriers to High-Quality Voice over IP Deployments. White Paper
Overcoming Barriers to High-Quality Voice over IP Deployments White Paper White Paper Overcoming Barriers to High-Quality Voice over IP Deployments Executive Summary Quality of Service (QoS) issues are
More informationA study of Skype over IEEE 802.16 networks: voice quality and bandwidth usage
Iowa State University Digital Repository @ Iowa State University Graduate Theses and Dissertations Graduate College 2011 A study of Skype over IEEE 802.16 networks: voice quality and bandwidth usage Kuan-yu
More informationBT Cloud Phone. Your guide to LAN best configuration practices. A guide to using BT Cloud Phone with your local area network (LAN).
BT Cloud Phone. Your guide to LAN best configuration practices. A guide to using BT Cloud Phone with your local area network (LAN). 2 What s in this guide. 1 Overview. 3 2 Requirements. 4 2.1 Ports. 4
More informationSync & Sense Enabled Adaptive Packetization VoIP
Sync & Sense Enabled Adaptive Packetization VoIP by Boonchai Ngamwongwattana B.Eng., King Mongkut s Institute of Technology, Ladkrabang, Thailand, 1994 M.S., Telecommunications, University of Pittsburgh,
More informationProject Code: SPBX. Project Advisor : Aftab Alam. Project Team: Umair Ashraf 03-1853 (Team Lead) Imran Bashir 02-1658 Khadija Akram 04-0080
Test Cases Document VOIP SOFT PBX Project Code: SPBX Project Advisor : Aftab Alam Project Team: Umair Ashraf 03-1853 (Team Lead) Imran Bashir 02-1658 Khadija Akram 04-0080 Submission Date:23-11-2007 SPBX
More informationEcho Analysis Case Study
Echo Analysis Case Study The following case study describes how Cisco worked with an enterprise customer to eliminate echo in a VoIP network. The customer is a large manufacturing company with headquarters
More informationTech Note. Introduction. Definition of Call Quality. Contents. Voice Quality Measurement Understanding VoIP Performance. Title Series.
Tech Note Title Series Voice Quality Measurement Understanding VoIP Performance Date January 2005 Overview This tech note describes commonly-used call quality measurement methods, explains the metrics
More informationVoice over Wi-Fi Voice Quality Assessment Test
Location of Test: Azimuth Systems Headquarters, Acton, MA Date of Test: August 23 25, 2005 Voice over Wi-Fi Voice Quality Assessment Test A CT Labs Summary Report for Azimuth Systems and Empirix, Inc.
More informationPERCEPTUAL EVALUATION OF PLAYOUT BUFFER ALGORITHM FOR ENHANCING PERCEIVED QUALITY OF VOICE TRANSMISSION OVER IP NETWORK
PERCEPTUAL EVALUATION OF PLAYOUT BUFFER ALGORITHM FOR ENHANCING PERCEIVED QUALITY OF VOICE TRANSMISSION OVER IP NETWORK Yusuf Perwej 1 and Firoj Parwej 2 1 M.Tech, MCA, Department of Computer Science &
More informationMOS Technology Brief Mean Opinion Score Algorithms for Speech Quality Evaluation
MOS Technology Brief Mean Opinion Score Algorithms for Speech Quality Evaluation Mean Opinion Score (MOS) is commonly used to rate phone service speech quality, expressed on a scale from 1 to 5, where
More informationVoice over IP (VoIP) and QoS/QoE
Voice over IP (VoIP) and QoS/QoE Professor Richard Harris School of Engineering and Advanced Technology (SEAT) Presentation Outline Understanding jitter and methods to overcome problems with jitter Quality
More informationPerformance Evaluation of Quality of VoIP service over UMTS-UTRAN R99
Performance Evaluation of Quality of VoIP service over UMTS-UTRAN R99 Andrea Barbaresi, Andrea Mantovani Telecom Italia - Via G. Reiss Romoli, 274 I-1148 Torino (TO), Italy andrea.barbaresi@telecomitalia.it
More informationQuality of Service Testing in the VoIP Environment
Whitepaper Quality of Service Testing in the VoIP Environment Carrying voice traffic over the Internet rather than the traditional public telephone network has revolutionized communications. Initially,
More informationScheduling for VoIP Service in cdma2000 1x EV-DO
Scheduling for VoIP Service in cdma2000 1x EV-DO Young-June Choi and Saewoong Bahk School of Electrical Engineering & Computer Science Seoul National University, Seoul, Korea E-mail: {yjchoi, sbahk}@netlab.snu.ac.kr
More informationHow To Determine The Capacity Of An 802.11B Network
Capacity of an IEEE 802.11b Wireless LAN supporting VoIP To appear in Proc. IEEE Int. Conference on Communications (ICC) 2004 David P. Hole and Fouad A. Tobagi Dept. of Electrical Engineering, Stanford
More informationApplication Note. IPTV Services. Contents. Title Managing IPTV Performance Series IP Video Performance Management. Overview... 1. IPTV Services...
Title Managing IPTV Performance Series IP Video Performance Management Date September 2012 (orig. February 2008) Contents Overview... 1 IPTV Services... 1 Factors that Affect the Performance of IPTV...2
More informationIndepth Voice over IP and SIP Networking Course
Introduction SIP is fast becoming the Voice over IP protocol of choice. During this 3-day course delegates will examine SIP technology and architecture and learn how a functioning VoIP service can be established.
More informationActive Monitoring of Voice over IP Services with Malden
Active Monitoring of Voice over IP Services with Malden Introduction Active Monitoring describes the process of evaluating telecommunications system performance with intrusive tests. It differs from passive
More informationinternet technologies and standards
Institute of Telecommunications Warsaw University of Technology 2015 internet technologies and standards Piotr Gajowniczek Andrzej Bąk Michał Jarociński multimedia in the Internet Voice-over-IP multimedia
More informationADAPTIVE SPEECH QUALITY IN VOICE-OVER-IP COMMUNICATIONS. by Eugene Myakotnykh
ADAPTIVE SPEECH QUALITY IN VOICE-OVER-IP COMMUNICATIONS by Eugene Myakotnykh Ph.D. Dissertation Submitted to Faculty of the Telecommunications Program, Graduate School of Information Sciences, University
More informationRequirements of Voice in an IP Internetwork
Requirements of Voice in an IP Internetwork Real-Time Voice in a Best-Effort IP Internetwork This topic lists problems associated with implementation of real-time voice traffic in a best-effort IP internetwork.
More informationTHE ANALYSIS AND SIMULATION OF VOIP
ENSC 427 Communication Networks Spring 2013 Final Project Presentation THE ANALYSIS AND SIMULATION OF VOIP Presented by Team #3: Demet Dilekci Conrad Wang Jiang Feng Xu ddilekci@sfu.ca cjw11@sfu.ca jfxu@sfu.ca
More information1 There are also private networks including leased-lines, analog PBXs
Application Notes Title Series Overview Data and Fax modem performance on VoIP services VoIP Performance Management Date November 2005 This application note describes the typical performance issues that
More information