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Quality-Differentiated Video Multicast in Multirate Wireless
Networks
Adaptation of modulation and transmission bit-rates for video multicast in a multirate wireless network
is a challenging problem because of network dynamics, variable video bit-rates, and heterogeneous
clients who may expect differentiated video qualities. Prior work on the leader-based schemes selects
the transmission bit-rate that provides reliable transmission for the node that experiences the worst
channel condition. However, this may penalize other nodes that can achieve a higher throughput by
receiving at a higher rate. In this work, we investigate a rate-adaptive video multicast scheme that can
provide heterogeneous clients differentiated visual qualities matching their channel conditions. We first
propose a rate scheduling model that selects the optimal transmission bit-rate for each video frame to
maximize the total visual quality for a multicast group subject to the minimum-visual-quality-guaranteed
constraint. We then present a practical and easy-to-implement protocol, called QDM, which constructs a
cluster-based structure to characterize node heterogeneity and adapts the transmission bit-rate to
network dynamics based on video quality perceived by the representative cluster heads. Since QDM
selects the rate by a sample-based technique, it is suitable for real-time streaming even without any
preprocess. We show that QDM can adapt to network dynamics and variable video-bit rates efficiently,
and produce a gain of 2-5 dB in terms of the average video quality as compared to the leader-based
approach.