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We present a novel control scheme that dynamically optimizes multirate multicast. By computing the differential backlog at every node, our scheme adaptively allocates transmission rates per session/user pair in order to maximize throughput. An important feature of the proposed scheme is that it does not require source cooperation or centralized calculations. This methodology leads to efficient and...
Multirate multicast improves user quality but complicates network optimization. This paper introduces a novel control scheme to dynamically optimize multirate multicast. We present MMT, an adaptive policy which combines differential backlog scheduling and intelligent packet dropping, both based on local information. MMT is shown to maximize network throughput by adapting to changing conditions such...
This demo presents a novel multirate multicast scheme for video delivery to wireless users. We demonstrate an adaptive scheme that combines differential backlog scheduling and intelligent packet dropping, both based on local information. An important feature of this scheme is that it does not require centralized calculations. We focus on 802.11 mesh networks and we show that our solution copes efficiently...
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