Available under a Creative Commons Attribution Non-Commercial Share Alike 4.0 International Licence
Applied mathematics, Statistics, Computer Sciences, Acoustics, Electrical and electronic engineering, Communication engineering and systems, telecommunications
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.
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
Irish Research Council, Marie Curie Actions