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This study contributes towards the relatively new but growing discipline of QoE management in content delivery systems. The study focuses on the development of a QoE-based management framework for the construction of QoE models for different types of multimedia contents delivered onto three typical mobile terminals-a mobile phone, PDA and a laptop. A statistical modelling technique is employed which, correlates QoS parameters with estimates of QoE perceptions. These correlations were found to be dependent on terminals and multimedia content types. The application of the framework and prediction models in QoE management strategies are demonstrated using examples. We find that significant resource savings can be achieved with our approach by contrast to conventional QoS solutions.

Multimedia services like television programs and live streaming of mobile videos can be delivered to mobile terminals via different access technologies. The question is – how do users perceive such services on mobile terminals? The objective of this study is to find the correlation between video quality thresholds and the user context. Our study reveals the thresholds of user's quality of experience (QoE) in a mobile environment by using different categories of content types, in relation to different access technologies and terminal capability. The mobile terminals used are: – (i) 3G Mobile Phone (ii) Personal Digital Assistant (PDA) and (iii) Laptop. We argue that quality of service (QoS) management should be driven by the user perception of quality rather than resulting from raw engineering parameters such as latency, jitter, bandwidth etc. Our results will be of great interest to network operators, service providers, terminal manufacturers, and researchers working in the area of quality of service management.

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This chapter discusses the various issues that surround the development stage of mobile TV services. It highlights the importance of Quality of Experience (QoE), which is a shift in paradigm away from the widely studied Quality of Service (QoS). We discuss the factors affecting QoE and the types of assessment methods used to evaluate QoE. A QoE-layered model is presented with the aim of ensuring end-to-end user satisfaction. Using a case study, we develop a QoE management framework. We argue that gaining an understanding of users’ perceptions and their service quality expectations may assist in the development of QoE models that are user centric.

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