Rate-Adaptive Video Multicast for Heterogeneous Clients over Wireless Networks
Date Issued
2009
Date
2009
Author(s)
Liu, Wei-Lun
Abstract
Rate adaptation for video multicast over wireless networks is a challengingroblem because of network dynamics, variable video bit rates, andeterogeneous clients who may expect differentiated video qualities. Priororks on the leader-based scheme select the channel rate that can provideeliable transmission for the node who experiences the worst channel condition.owever, this may penalize other nodes that can achieve a higherhroughput by receiving at a higher rate. Hence, in this work, we investigate rate-adaptive video multicast scheme that can provide heterogeneouslients differentiated visual qualities matching their channel conditions. Weirst propose a rate scheduling model that can select an optimal transmissionit-rate for each video frame in order to maximize the total visual qualityor a multicast group subject to the minimum-visual-quality-guaranteed constraint.e then present a practical protocol, called CRAM, which constructs cluster-based structure to characterize node heterogeneity and adapts thehannel rate based on video quality perceived by the representative clustereads. Since CRAM selects the rate by a sample-based technique, it is suitableor real-time video streaming without the need of any pre-process. Theimulation results show that CRAM can produce a gain of 2-5dB in terms ofhe average video quality as compared with the leader-based approach, anddapt to network dynamics and variable video bit rates.
Subjects
real-time streaming
heterogeneous environment
rate adaptation
Type
thesis
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