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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).

6. Conclusion

A QoE-aware cross-layer architecture for video streaming services was proposed in this paper. A combination of the rate adaptation and QoE-aware admission control are two main components of the architecture. The performance of the cross-layer architecture was analyzed and compared to two other architectures (adaptive architecture and non- adaptive architecture). The extensive simulation results have shown that the cross-layer architecture can provide an im- provement in the mean MOS, considerably higher number of successful decoded video session, less mean delay and packet loss. At the same time it utilizes the link more ef- ficiently. Evaluating the architecture with a greater variety of video contents and developing Algorithm 1 to include post-acceptance bit rate switching are interesting areas of future research. Future studies may also consider higher resolutions for the evaluation of the cross-layer architecture. Another interesting area of research is to have a dynamic number of video variants instead of transcoding each con- tent into a fixed number of video files.