Cross-layer QoE prediction for mobile video based on random neural networks
Emad Danish, Mohammed Abdulrahman Alreshoodi, Anil Fernando, Bander A. Alzahrani, Sami S. Alharthi · 2016
Based on random neural networks, a cross-layer prediction model is proposed for estimating the perceptual quality of mobile video in no reference mode. The model exploits key parameters affecting video quality. Simulation results show considerable predictability performance with R-squared correlation of 0.90 and 0.39 root mean squared error.