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Layered randomized cooperative multicast for lossy data: A superposition approach

机译:有损数据的分层随机协作多播:一种叠加方法

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In this paper, we consider randomized distributed cooperation for multicasting a source signal with end-to-end distortion used as a performance metric. In order to provide differentiated quality to users with different channel strengths, we study layered cooperation where layers are transmitted simultaneously using superposition coding. We first formulate the problem and investigate the effect of power allocation of different layers on the distribution of end-to-end quality of users under a real-time delivery requirement. We then compare the proposed scheme with sequential layered transmission in which the layers are transmitted sequentially in time. Our results show that layered cooperation with superimposed layers outperforms sequential layered cooperation and provides a good alternative for multicast applications.
机译:在本文中,我们考虑使用随机分布式协作来多播具有端到端失真的源信号,并将其用作性能指标。为了向具有不同信道强度的用户提供差异化​​的质量,我们研究了分层协作,其中使用叠加编码同时传输层。我们首先提出问题,并研究在实时交付需求下,不同层的功率分配对用户端到端质量分布的影响。然后,我们将提出的方案与顺序分层传输进行比较,在顺序分层传输中,各层在时间上按顺序进行传输。我们的结果表明,具有叠加层的分层协作优于顺序分层协作,并为多播应用程序提供了很好的选择。

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