Mechanisms for QoE optimisation of Video Traffic: A review paper

TL;DR

This review paper discusses various mechanisms for optimizing the Quality of Experience (QoE) in video traffic over the Internet, highlighting challenges, classifications, limitations, and future research directions.

Contribution

It provides a comprehensive survey and classification of existing QoE optimization mechanisms for video traffic, identifying limitations and suggesting future research directions.

Findings

Various mechanisms have been proposed for QoE optimization.

Limitations exist in current approaches, requiring further research.

Future directions include new methods and hybrid solutions.

Abstract

Transmission of video traffic over the Internet has grown exponentially in the past few years with no sign of waning. This increasing demand for video services has changed user expectation of quality. Various mechanisms have been proposed to optimise the Quality of Experience (QoE) of end users video. Studying these approaches are necessary for new methods to be proposed or combination of existing ones to be tailored. We discuss challenges facing the optimisation of QoE for video traffic in this paper. It surveys and classifies these mechanisms based on their functions. The limitation of each of them is identified and future directions are highlighted.