Data Driven QoE-QoS Association Modeling of Conversational Video - upload

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Data Driven QoE-QoS Association
Modeling of Conversational Video
Author: Yu-Ning Dong

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1
Research
Background
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Research
Method
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Research
Results
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Summary
CONTENTS
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Part 1
Research
Background
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The importance of QoS support under user experience
perception
With the rapid development of computer networks and
communication technologies, quality of service (QoS) support under
users experience perception are playing an increasingly important
role in network resource allocation.
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The motivation of this paper
Mapping
QoE
QoS
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Introduction to this paper
Statistical analysis of the conversational video flow data
Establish distribution association between QoE and QoS parameters
Fitting of relevant distribution functions
Give the QoS parameter recommendation indices
A QoE connected QoS model is established
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Part 2
Research
Method
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Modeling process
Data acquisition
Recommend values of key
QoS parameters for target
MOS intervals
Feature extraction
MOS value partitioning and
curves fitting
Calculation of parameters and
MOS values
Draw 2D/3D probability
distribution maps
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Step 1
By Wireshark
Data acquisition
QQ wireless/wired conversational
video flows
Skype wireless/wired conversational
video flows
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Step 2
Packet loss rate (P)
Feature
extraction
Transmission rate (R)
jitter
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Step 3
Calculation of
parameters and
MOS values
By the ITU-T P.1201.1 model
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Step 4 Draw 2D/3D probability distribution maps
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Step 5
MOS value
partitioning and
curve fitting
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