Abstract
Complementing the current paradigm change from QoS to QoE, we address fundamental QoE charging issues for Internet services from an end user perspective. Here, key issues arise from gaps of different information contexts involved, which have to be managed when introducing a QoE product. Hence, this paper analyzes the double role of prices for quality perception as well as the impact of QoE on user demand with the help of a fixed point model. Our model is consistent with real-world user behavior that we have observed during comprehensive user trials on quality perception for video on demand services. Based on these results, we propose a simple approach for convergence-based user classification, and discuss the complementarity of willingness-to-pay vs. subjective quality perception in service purchasing situations.
Highlights
Introduction and related workFor several decades, service quality in communications networks has been described more or less solely in terms of QoS (Quality of Service) parameters, like packet loss rate, delay, jitter, bandwidth etc
The mismatch between the resulting QoEp and Quality of Experience (QoE) is characterized by an interesting fixed-problem problem which we address in detail in “Fixed-point models for QoS- and QoE-based charging”, where pricing as such creates a negative feedback that has to be incorporated into the quality experience metric
Based on a comprehensive analysis of context gaps, we have proposed and analyzed a fixed point model for QoE-based charging, whose specific complexity comes from the fact that it considers both price sensitivity and quality sensitivity of users
Summary
Service quality in communications networks has been described more or less solely in terms of QoS (Quality of Service) parameters, like packet loss rate, delay, jitter, bandwidth etc. In a much broader sense, more recently QoE has been defined as “degree of delight or annoyance of the user of an application or service”, resulting from “the fulfillment of his or her expectations with respect to the utility and/or enjoyment of the application or service in the light of the user’s personality and current state” [14] Along these definitions, a comprehensive body of related work has developed QoE framework models as well as corresponding metrics and measurement methodologies [17, 13, 19, 26]. We argue that, complementing the mentioned paradigm change, research on QoEbased charging deserves much more attention, while, apart from some early contributions [1, 5], research has insufficiently addressed this user-centric perspective up to now This is especially problematic as QoE and utilities from QoE (for instance related to revenues or valuations of a service) are disparate concepts as pointed out in [34].
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
