  The rapid shift toward video on-demand and real time information systems has
affected mobile as well as wired networks. The research community has placed a
strong focus on optimizing the Quality of Experience (QoE) of video traffic,
mainly because video is popular among Internet users. Techniques have been
proposed in different directions towards improvement of the perception of video
users. This paper investigates the performance of a novel cross-layer
architecture for optimizing the QoE of video traffic. The proposed architecture
is compared to two other architectures; non-adaptive and adaptive. For the
former, video traffic is sent without adaptation, whereas for the later video
sources adapt their transmission rate. Both are compared in terms of the mean
opinion score of video sessions, number of sessions, delay, packet drop ratio,
jitter and utilization. The results from extensive simulations show that the
proposed architecture outperforms the non-adaptive and adaptive architectures
for video traffic.
