Document Type
Article
Rights
Available under a Creative Commons Attribution Non-Commercial Share Alike 4.0 International Licence
Disciplines
Applied mathematics, Statistics, Computer Sciences, Acoustics, Electrical and electronic engineering, Communication engineering and systems, telecommunications
Abstract
Time-varying loads introduce errors in the estimated model parameters of service-level predictors in Computer Networks. A load-adjusted modification of a traditional unadjusted service-level predictor is contributed, based on Source Separation (SS). It mitigates these errors and improves service-quality predictions for Video-on-Demand (VoD) by :6 to 2dB.
DOI
10.1109/LCOMM.2016.2563418
Recommended Citation
De Fréin, R. (2016) Source Separation Approach to Video Quality Prediction in Computer Networks. IEEE Communications Letters , vol. PP, no.99, pp.1-1, 2016. doi;10.1109/LCOMM.2016.2563418
Funder
Irish Research Council, Marie Curie Actions
Included in
Computational Engineering Commons, Digital Communications and Networking Commons, Signal Processing Commons, Systems and Communications Commons
Publication Details
IEEE Communications Letters , vol.PP, no.99, pp.1-1