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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Alreshoodi, M. Woods, J. Danish, E. Fernando, A. |
| Copyright Year | 2015 |
| Description | Author affiliation: Centre of Multimedia Commun. Res., Univ. of Surrey, Guildford, UK (Danish, E.; Fernando, A.) || Sch. of Comput. Sci. & Electron. Eng., Univ. of Essex, Colchester, UK (Alreshoodi, M.; Woods, J.) |
| Abstract | 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. |
| Starting Page | 324 |
| Ending Page | 328 |
| File Size | 219296 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781479986606 |
| DOI | 10.1109/NGMAST.2015.49 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-09-09 |
| Publisher Place | UK |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Adaptation models Estimation QoE Quality of service Wireless communication MOS VQM QoS AMC Streaming media Resource management MCS Signal to noise ratio |
| Content Type | Text |
| Resource Type | Article |
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