Adaptive resource allocation for QoE-aware mobile communication networks


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.

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Divisions: College of Engineering & Physical Sciences > Adaptive communications networks research group
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Event Title: 17th IEEE international conference on Computational Science and Engineering /13th IEEE International conference on Ubiquitous Computing and Communications / 13th International Symposium on Pervasive systems, Algorithms, and Networks / 8th international co
Event Type: Other
Event Dates: 2014-12-19 - 2014-12-21
Uncontrolled Keywords: 3GPP-LTE,adaptive video streaming,eEfficiency,fairness,QoE,resource allocation,scheduling,General Computer Science,Electrical and Electronic Engineering,Control and Systems Engineering,Industrial and Manufacturing Engineering
ISBN: 978-1-4799-7981-3
Last Modified: 27 Jun 2024 12:17
Date Deposited: 22 Apr 2015 13:10
Full Text Link: http://ieeexplo ... rnumber=7023687
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Conference contribution
Published Date: 2014
Authors: Seyedebrahimi, Mirghiasaldin
Peng, Xiao-Hong (ORCID Profile 0000-0002-0608-233X)
Harrison, Rob



Version: Accepted Version

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