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Capacity Gain of Mixed Multicast/Unicast Transport Schemes in a TV Distribution Network

机译:电视分配网络中混合多播/单播传输方案的容量增益

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摘要

This paper presents three approaches to estimate the required resources in an infrastructure where digital TV channels can be delivered in unicast or multicast (broadcast) mode. Such situations arise for example in Cable TV, IPTV distribution networks or in (future) hybrid mobile TV networks. The three approaches presented are an exact calculation, a Gaussian approximation and a simulation tool. We investigate two scenarios that allow saving bandwidth resources. In a static scenario, the most popular channels are multicast and the less popular channels rely on unicast. In a dynamic scenario, the list of multicast channels is dynamic and governed by the users' behavior. We prove that the dynamic scenario always outperforms the static scenario. We demonstrate the robustness, versatility and the limits of our three approaches. The exact calculation application is limited because it is computationally expensive for cases with large numbers of users and channels, while the Gaussian approximation is good exactly for such systems. The simulation tool takes long to yield results for small blocking probabilities. We explore the capacity gain regions under varying model parameters. Finally, we illustrate our methods by discussing some realistic network scenarios using channel popularities based on measurement data as much as possible.
机译:本文提出了三种方法来估计可在单播或多播(广播)模式下交付数字电视频道的基础架构中所需的资源。例如在有线电视,IPTV分发网络或(未来)混合移动电视网络中会出现这种情况。提出的三种方法是精确计算,高斯近似和模拟工具。我们研究了两种可以节省带宽资源的方案。在静态情况下,最受欢迎的频道是多播,不太受欢迎的频道依赖于单播。在动态情况下,多播通道列表是动态的,并由用户的行为支配。我们证明动态方案总是优于静态方案。我们展示了这三种方法的鲁棒性,多功能性和局限性。精确的计算应用是有限的,因为它在具有大量用户和通道的情况下在计算上是昂贵的,而高斯近似对于此类系统而言恰好是好的。该仿真工具需要很长时间才能获得小阻塞概率的结果。我们探索了不同模型参数下的容量增益区域。最后,我们通过尽可能多地使用基于测量数据的渠道流行度来讨论一些现实的网络场景,以说明我们的方法。

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