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Rate allocation for layered multicast streaming with inter-layer network coding

机译:带有层间网络编码的分层多播流的速率分配

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Multi-layer video streaming allows to provide different video qualities to a group of multicast receivers with heterogeneous receive rates. The number of layers received determines the quality of the decoded video stream. For such layered multicast streaming, network coding provides higher capacity than multicast routing. Network coding can be performed within a layer (intra-layer) or across layers (inter-layer), and in general inter-layer coding outperforms intra-layer coding. An optimal solution to a network coded layered multicast problem may require decoding of the network code at interior nodes to extract information to be forwarded. However, decoding consumes resources and introduces delay, which is particularly undesirable at interior nodes (the routers) of the network. In this paper, we thus focus on the inter-layer network coding problem without decoding at interior nodes. We propose a heuristic algorithm for rate allocation and code assignment based on the Edmonds-Karp maximum flow algorithm and perform simulations that show that our algorithm may even outperform other heuristics that do require decoding at interior nodes.
机译:多层视频流允许向具有不同接收速率的一组多播接收器提供不同的视频质量。接收的层数决定了解码视频流的质量。对于这样的分层多播流,网络编码提供了比多播路由更高的容量。可以在层(层内)或跨层(层间)内执行网络编码,并且一般而言,层间编码的性能优于层内编码。网络编码的分层多播问题的最佳解决方案可能需要在内部节点对网络代码进行解码,以提取要转发的信息。但是,解码会消耗资源并引入延迟,这在网络的内部节点(路由器)上尤其不希望出现。因此,在本文中,我们将重点放在不在内部节点进行解码的情况下进行层间网络编码问题。我们提出了一种基于Edmonds-Karp最大流算法的速率分配和代码分配启发式算法,并进行了仿真,结果表明我们的算法甚至可以胜过其他需要在内部节点进行解码的启发式算法。

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