Abstract

With the move towards converged all-IP wireless network environments, managing end-user Quality of Experience (QoE) poses a challenging task, aimed at meeting high user expectations and requirements regarding reliable and cost-effective communication, access to any service, anytime and anywhere, and across multiple operator domains. In this paper, we give a survey of state-of-the-art research activities addressing the field of QoE management, focusing in particular on the domain of wireless networks and addressing three management aspects: QoE modeling, monitoring and measurement, and adaptation and optimization. Furthermore, we identify and discuss the key aspects and challenges that need to be considered when conducting research in this area.

Highlights

  • Wireless mobile communications have experienced phenomenal growth throughout the last decades, going from support for circuit-switched voice services and messaging services to IP-based mobile broadband services using High Speed Packet Access (HSPA), Worldwide Interoperability for Microwave Access (WiMAX), and Long-Term Evolution (LTE) Radio Access networks [1]

  • Management of Quality of Experience (QoE) as a highly complex issue requires an interdisciplinary view from user, technology, context, and business aspects, with flexible cooperation between all players and stakeholders involved in the service providing chain

  • Answering the question of what parameters to optimize relates to the issue of determining the key factors whose adjustments would result in improved QoE. The impact of those optimizations on other parameters must be considered, since in certain cases improvements of one set Satisfying user service quality expectations and requirements in today’s user centric and upcoming converged all-IP wireless environment implies the challenge of performing successful QoE management

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Summary

Introduction

Wireless mobile communications have experienced phenomenal growth throughout the last decades, going from support for circuit-switched voice services and messaging services to IP-based mobile broadband services using High Speed Packet Access (HSPA), Worldwide Interoperability for Microwave Access (WiMAX), and Long-Term Evolution (LTE) Radio Access networks [1]. The former focuses on the impact of network and application performance on user quality perception, while the latter primarily deals with the individual users’ experiences derived from encounters with systems, impacted by expectations, prior experiences, feelings, thoughts, context, and so forth Various approaches such as [15,16,17,18,19] provide definitions of QoE that are closely related to technology-centric logic, not accounting for the subjective character of human experience, and lacking consideration of a broader definition of QoE [20]; that is, the consequence of the assumption that the optimization of QoS-related parameters will automatically result in increasing the overall QoE, leading to swift adoption of products and services on the consumption side.

QoE Modeling
Motivation
10 Category System
QoE Measurement and Modeling
Objective
QoE Optimization and Control
Conclusion
Full Text
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