A quality of experience-aware cross-layer architecture for optimizing video streaming services

TL;DR

This paper proposes a cross-layer, QoE-aware architecture for video streaming that improves user experience and session management by integrating application adaptation and admission control, outperforming traditional methods.

Contribution

It introduces a novel cross-layer design combining QoE-aware admission control with video adaptation for better QoE and session management.

Findings

The architecture enhances QoE compared to non-adaptive systems.

It increases the number of admitted sessions while maintaining quality.

Simulation results validate the effectiveness of the proposed approach.

Abstract

The popularity of the video services on the Internet has evolved various mechanisms that target the Quality of Experience (QoE) optimization of video traffic. The video quality has been enhanced through adapting the sending bitrates. However, rate adaptation alone is not sufficient for maintaining a good video QoE when congestion occurs. This paper presents a cross-layer architecture for video streaming that is QoE-aware. It combines adaptation capabilities of video applications and QoE-aware admission control to optimize the trade-off relationship between QoE and the number of admitted sessions. Simulation results showed the efficiency of the proposed architecture in terms of QoE and number of sessions compared to two other architectures (adaptive architecture and non-adaptive architecture).