Quality of experience paradigm in multimedia services : application to OTT video streaming and VoIP services / Muhammad-Sajid Mushtaq, Abdelhamid Mellouk.

Format:

Book

Author/Creator:

Mushtaq, Muhammad-Sajid, author.

Language:

English

Subjects (All):

Multimedia systems--Quality control.

Multimedia systems.

Quality control.

Physical Description:

xix, 180 pages ; 24 cm

Place of Publication:

London, UK : ISTE Press Ltd ; Kidlington, Oxford, UK : Elsevier Ltd, 2017.

Summary:

The analysis of QoE is not an easy task, especially for multimedia services, because all the factors (technical and non-technical) that directly or indirectly influence the user-perceived quality have to be considered. This book describes different methods to investigate users' QoE from the viewpoint of technical and non-technical parameters using multimedia services. It discusses the subjective methods for both controlled and uncontrolled environments. Collected datasets are used to analyze users' profiles, which sheds light on key factors to help network service providers understand end-users' behavior and expectations. Important adaptive video streaming technologies are discussed that run on unmanaged networks to achieve certain QoS features. The authors present a scheduling method to allocate resources to the end-user based on users' QoE and optimize the power efficiency of users' devices for LTE-A. Lastly, two key aspects of 5G networks are presented: QoE using multimedia services (VoIP and video), and a power-saving model for mobile devices and virtual base stations. Book jacket.

Contents:

Chapter 1 Background and Contextual Study 1

1.1 Introduction 1

1.2 Subjective test 2

1.2.1 Controlled environment approach 3

1.2.2 Uncontrolled environment approach 5

1.3 HTTP-based video streaming technologies 6

1.3.1 Video streaming method 8

1.3.2 Adaptive video delivery components 9

1.4 HTTP-based adaptive video streaming methods 10

1.4.1 Traditional streaming versus adaptive streaming 11

1.4.2 Adobe's HTTP Dynamic Streaming (HDS) 15

1.4.3 Microsoft Smooth Streaming (MSS) 15

1.4.4 Apple's HTTP Live Streaming (HLS) 17

1.4.5 MPEG's Dynamic Adaptive Streaming over HTTP (DASH) 18

1.5 Scheduling and power-saving methods 21

1.5.1 Scheduling methods 21

1.5.2 DRX power-saving method 23

Chapter 2 Methodologies for Subjective Video Streaming QoE Assessment 27

2.1 Introduction 27

2.2 Metrics affecting the QoE 28

2.2.1 Network parameters 29

2.2.2 Video characteristics 30

2.2.3 Terminal types 30

2.2.4 Psychological factors 32

2.3 Machine learning classification methods 33

2.3.1 Naive Bayes 34

2.3.2 Support vector machines 34

2.3.3 K-nearest neighbors 34

2.3.4 Decision tree 35

2.3.5 Random forest 35

2.3.6 Neural networks 35

2.4 Experimental environment for QoE assessment 36

2.4.1 Controlled environment approach 36

2.4.2 Crowdsourcing environment approach 37

2.5 Testbed experiment 38

2.5.1 Experimental setup 39

2.5.2 Data analysis using ML methods 41

2.6 Analysis of users' profiles 44

2.6.1 Case 1: interesting and non-interesting video contents 44

2.6.2 Case 2: frequency, HD and non-HD video content 46

2.7 Crowdsourcing method 50

2.7.1 Crowdsourcing framework 50

2.7.2 Framework architecture 52

2.7.3 Firefox extension 53

2.7.4 Java application 54

2.8 Conclusion 55

Chapter 3 Regulating QoE for Adaptive Video Streaming 59

3.1 Introduction 59

3.2 Adaptive streaming architecture 62

3.3 Video encoding 66

3.4 Client-server communication 68

3.5 Rate-adaptive algorithm 69

3.6 System model 71

3.7 Proposed BBF method 74

3.8 Experimental setup 80

3.9 Results 80

3.10 Conclusion 89

Chapter 4 QoE-based Power Efficient LTE Downlink Scheduler 91

4.1 Introduction 92

4.2 An overview of LTE 95

4.3 E-model 98

4.4 DRX mechanism 100

4.5 Methodology and implementation 103

4.5.1 Traditional algorithms 104

4.5.2 Proposed QEPEM 105

4.5.3 Scheduler architecture 106

4.5.4 Scheduling algorithm 108

4.6 Simulation setup 109

4.7 Performance analysis with a fixed Deep Sleep duration of 20 ms 110

4.8 Performance analysis with a fixed Light Sleep duration of 10 ms 118

4.9 Conclusion 124

Chapter 5 QoE and Power-saving Model for 5G Network 127

5.1 Introduction 128

5.2 QoE and 5G network 130

5.2.1 Cloud-based future cellular network 131

5.2.2 Traffic model 131

5.2.3 QoE modeling and measurement 133

5.3 Optimization models 134

5.3.1 Network design 134

5.3.2 QoE 136

5.4 Results 138

5.5 Power-saving mechanism for UE and VBS 142

5.5.1 User equipment (UE) 142

5.5.2 Base station 144

5.6 Energy consumption model 145

5.6.1 Virtual base station 145

5.6.2 User equipment 148

5.7 Results 151.

ISBN:

9781785481093

1785481096

OCLC:

1021194693