Mobile TV services through IP Datacast over DVB-H: Dependability of the quality of experience on the IP-based distribution network quality of service

2011 ◽  
Vol 34 (5) ◽  
pp. 1474-1488 ◽  
Author(s):  
Philip Leroux ◽  
Steven Latré ◽  
Nicolas Staelens ◽  
Piet Demeester ◽  
Filip De Turck
Keyword(s):  
Quality Of Service ◽  
Quality Of Experience ◽  
Distribution Network ◽  
Mobile Tv ◽  
Network Quality

scholarly journals A Survey on Machine Learning-Based Performance Improvement of Wireless Networks: PHY, MAC and Network Layer

Electronics ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 318
Author(s):  
Merima Kulin ◽  
Tarik Kazaz ◽  
Eli De Poorter ◽  
Ingrid Moerman
Keyword(s):  
Machine Learning ◽  
Wireless Networks ◽  
Performance Improvement ◽  
Quality Of Experience ◽  
Data Driven ◽  
Protocol Stack ◽  
Comprehensive Survey ◽  
Network Prediction ◽  
Network Quality

This paper presents a systematic and comprehensive survey that reviews the latest research efforts focused on machine learning (ML) based performance improvement of wireless networks, while considering all layers of the protocol stack: PHY, MAC and network. First, the related work and paper contributions are discussed, followed by providing the necessary background on data-driven approaches and machine learning to help non-machine learning experts understand all discussed techniques. Then, a comprehensive review is presented on works employing ML-based approaches to optimize the wireless communication parameters settings to achieve improved network quality-of-service (QoS) and quality-of-experience (QoE). We first categorize these works into: radio analysis, MAC analysis and network prediction approaches, followed by subcategories within each. Finally, open challenges and broader perspectives are discussed.

Open network quality of service and bandwidth control: Use cases, technical architecture, and business models

2011 ◽  
Vol 16 (2) ◽  
pp. 133-152 ◽  
Author(s):  
James A. Brunetti ◽  
Kanti Chakrabarti ◽  
Alina M. Ionescu-Graff ◽  
Ramesh Nagarajan ◽  
Dong Sun
Keyword(s):  
Quality Of Service ◽  
Business Models ◽  
Use Cases ◽  
Open Network ◽  
Technical Architecture ◽  
Bandwidth Control ◽  
Network Quality

Quality of Experience Factors for Mobile TV Users

2018 ◽  
pp. 473-496
Author(s):  
Dimitris N. Kanellopoulos
Keyword(s):  
Quality Of Experience ◽  
Mobile Tv ◽  
Road Map

This chapter helps the professionals involved in the Mobile TV industry to methodically engineer the Quality of Experience (QoE) of Mobile TV users. Its objective is to investigate the factors that influence the QoE of Mobile TV users. It also discusses the issues for strategic implications for the Mobile TV industry. We retrieved and categorized the majority of the critical works focusing on QoE for Mobile TV users. Then, we considered them and proposed a comprehensive road-map for improving the QoE of Mobile TV users. We present an approach to produce improvements to the Mobile TV customer experiences. This chapter proposes a seven-stage “road-map” to improvement, which develops the existing models. This study remains to be seen how the presented QoE factors– both amongst technologies and Mobile TV actors – will affect the potential for Mobile TV amongst various types of users. The proposed road-map can help to bridge gaps between other studies that have either focused on QoE for mobile TV or have addressed frameworks for mobile TV.

Quality of Experience (QoE) for Wireless Video Over Critical Communication Systems

2017 ◽  
pp. 132-167
Author(s):  
Emad Danish ◽  
Mazin I. Alshamrani
Keyword(s):  
Resource Allocation ◽  
Quality Of Service ◽  
Energy Consumption ◽  
Communication Systems ◽  
Quality Of Experience ◽  
Service Providers ◽  
Wireless Video ◽  
User Centric ◽  
Near Future

Video streaming is expected to acquire a massive share of the global internet traffic in the near future. Meanwhile, it is expected that most of the global traffic will be carried over wireless networks. This trend translates into considerable challenges for Service Providers (SP) in terms of maintaining consumers' Quality of Experience (QoE), energy consumption, utilisation of wireless resources, and profitability. However, the majority of Radio Resource Allocation (RRA) algorithms only consider enhancing Quality of Service (QoS) and network parameters. Since this approach may end up with unsatisfied customers in the future, it is essential to develop innovative RRA algorithms that adopt a user-centric approach based on users' QoE. This chapter focus on wireless video over Critical communication systems that are inspired by QoE perceived by end users. This chapter presents a background to introduce the reader to this area, followed by a review of the related up-to-date literature.

Getting the Big Picture on Small Screens

2011 ◽  
pp. 31-46 ◽  
Author(s):  
Hendrik Knoche ◽  
M. Angela Sasse
Keyword(s):  
Quality Of Experience ◽  
Current Knowledge ◽  
Empirical Studies ◽  
Key Factors ◽  
Low Resolution ◽  
Mobile Tv ◽  
Technical Performance ◽  
Number Of Factors ◽  
Big Picture

This chapter provides an overview of the key factors that influence the quality of experience (QoE) of mobile TV services. It compiles the current knowledge from empirical studies and recommendations on four key requirements for the uptake of mobile TV services: (1) handset usability and its acceptance by the user, (2) the technical performance and reliability of the service, (3) the usability of the mobile TV service (depending on the delivery of content), and (4) the satisfaction with the content. It illustrates a number of factors that contribute to these requirements ranging from the context of use to the size of the display and the displayed content. The chapter highlights the interdependencies between these factors during the delivery of content in mobile TV services to a heterogeneous set of low resolution devices.

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