Adaptive Resource Allocation for QoE-Aware Mobile Communication Networks

Seyedebrahimi, Mir and Peng, Xiao-Hong and Harrison, Rob (2014) Adaptive Resource Allocation for QoE-Aware Mobile Communication Networks. In: Proceedings of 17th International Conference on Computational Science and Engineering (CSE). IEEE, pp. 868-875. ISBN 978-1-4799-7981-3

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Abstract

A real-time adaptive resource allocation
algorithm considering the end user’s Quality of Experience
(QoE) in the context of video streaming service is presented in this work. An objective no-reference quality metric, namely Pause Intensity (PI), is used to control the priority of resource allocation to users during the scheduling process. An online adjustment has been introduced to adaptively set the scheduler’s parameter and maintain a desired trade-off between fairness and efficiency. The correlation between the data rates (i.e. video code rates) demanded by users and the data rates allocated by the scheduler is taken into account as well. The final allocated rates are determined based on the
channel status, the distribution of PI values among users, and the scheduling policy adopted. Furthermore, since the user’s capability varies as the environment conditions change, the rate adaptation mechanism for video streaming is considered and its interaction with the scheduling process under the same PI metric is studied. The feasibility of implementing this algorithm is examined and the result is compared with the most commonly existing scheduling methods.

Item Type: Book Section
Uncontrolled Keywords: Resource allocation; QoE; scheduling; adaptive video streaming; fairness; efficiency; 3GPP-LTE
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 12:02
Last Modified: 15 Aug 2017 08:50
URI: http://www.open-access.bcu.ac.uk/id/eprint/4043

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