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.
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.
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.
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: | Unnamed user with email elements@essex.ac.uk |
| Depositing User: | Unnamed user with email elements@essex.ac.uk |
| Date Deposited: | 14 Feb 2017 11:53 |
| Last Modified: | 24 Oct 2024 23:01 |
| URI: | http://repository.essex.ac.uk/id/eprint/18130 |