A Quality Driven Framework for Adaptive Video Streaming in Mobile Wireless Networks

Seyedebrahimi, Mir and Peng, Xiao-Hong and Harrison, Rob (2014) A Quality Driven Framework for Adaptive Video Streaming in Mobile Wireless Networks. In: Proceedings of IEEE Wireless Communications and Networking Conference (WCNC). IEEE, pp. 2994-2999.

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Abstract

The concern over the quality of delivering video
streaming services in mobile wireless networks is addressed in this work. A framework that enhances the Quality of Experience (QoE) of end users through a quality driven resource allocation scheme is proposed. To play a key role, an objective no-reference quality metric, Pause Intensity (PI), is adopted to derive a resource allocation algorithm for video streaming. The framework is examined in the context of 3GPP Long Term Evolution (LTE) systems. The requirements and structure of the proposed PI-based framework are discussed, and results are
compared with existing scheduling methods on fairness,
efficiency and correlation (between the required and allocated data rates). Furthermore, it is shown that the proposed framework can produce a trade-off between the three parameters through the QoE-aware resource allocation process.

Item Type: Book Section
Uncontrolled Keywords: Quality of Experience; Pause Intensity; Long Term Evolution; scheduling and link adaptation
Subjects: G400 Computer Science
Divisions: Faculty of Computing, Engineering and the Built Environment
Faculty of Computing, Engineering and the Built Environment > School of Computing and Digital Technology
Faculty of Computing, Engineering and the Built Environment > School of Computing and Digital Technology > Cloud Computing
UoA Collections > UoA11: Computer Science and Informatics
Depositing User: $ Ian McDonald
Date Deposited: 14 Mar 2017 12:20
Last Modified: 14 Mar 2017 12:20
URI: http://www.open-access.bcu.ac.uk/id/eprint/4044

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