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Resource Allocation Scheme Based on Online QoE Estimation of Mobile H.264 Video Streaming

Alreshoodi, M and Woods, J and Danish, E and Fernando, A (2016) Resource Allocation Scheme Based on Online QoE Estimation of Mobile H.264 Video Streaming. In: UNSPECIFIED, ? - ?.

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Demand on multimedia content by consumers' handheld devices over wireless channels is on the increase. In view of the accelerated trend towards consumption of high quality video, power utilization by mobile devices is expected to excessively increase. This paper presents a power and bandwidth efficient resource allocation scheme considering the end user's Quality of Experience (QoE) in the context of mobile video streaming. QoE has become the prime performance criterion for media delivery technologies. The QoE is estimated by an objective online estimation model based on adaptive Fuzzy Inference Systems (FIS). We simulate a mobile video transmission through which we identify the correlation between receiver's signal-to-noise ratio and QoE. Compared to QoS-based techniques, the proposed QoE-based scheme enables to save up to 33.13% in power and grant up to 50% more data bits for transmission.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published proceedings: Proceedings - NGMAST 2015: The 9th International Conference on Next Generation Mobile Applications, Services and Technologies
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Jim Jamieson
Date Deposited: 14 Feb 2017 11:39
Last Modified: 29 Mar 2021 11:15

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