Research Repository

QoE-enabled efficient resource allocation for H.264 video streaming over WiMAX

M. Alreshoodi, and E. Danish, and J. Woods, and A. Fernando, and F. Alarfaj, (2016) QoE-enabled efficient resource allocation for H.264 video streaming over WiMAX. In: 2016 IEEE International Conference on Consumer Electronics (ICCE), 2016-01-07 - 2016-01-11.

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Abstract

A power and bandwidth efficient resource allocation approach considering consumer's Quality of Experience (QoE) in the context of mobile video streaming is presented. Online QoE is estimated using Fuzzy Inference Systems. Compared to Quality of Service (QoS)-based techniques, the proposed QoE-enabled approach offers considerable saving in bandwidth and power.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Notes: A power and bandwidth efficient resource allocation approach considering consumer's Quality of Experience (QoE) in the context of mobile video streaming is presented. Online QoE is estimated using Fuzzy Inference Systems. Compared to Quality of Service (QoS)-based techniques, the proposed QoE-enabled approach offers considerable saving in bandwidth and power.
Uncontrolled Keywords: WiMax; fuzzy reasoning; quality of experience; quality of service; resource allocation; video streaming; H.264 video streaming; QoE; QoS; fuzzy inference system; Bandwidth; Estimation; Mobile communication; Resource management; Signal to noise ratio; Streaming media
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health
Faculty of Science and Health > Computer Science and Electronic Engineering, School of
SWORD Depositor: Elements
Depositing User: Elements
Date Deposited: 14 Feb 2017 11:53
Last Modified: 15 Jan 2022 00:58
URI: http://repository.essex.ac.uk/id/eprint/18130

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