  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).
