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arXiv 1004.2648cs.ITmath.IT
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网络中信源信道分离的最优性和近似最优性

Optimality and Approximate Optimality of Source-Channel Separation in Networks

Chao Tian, Jun Chen, Suhas Diggavi, Shlomo Shamai

摘要:

本文研究了通信网络中有损信源编码的信源信道分离结构。它示出的分离方法是最佳的,在两个一般的情况下,在第三种情况下是近似最佳的。分离最优的两种情况是互补的:第一种情况是当源节点处的无记忆源任意相关时,其中的每一个在一定失真内在可能的多个目的地处被重构,但是该网络中的信道是同步的、正交的和无记忆的点对点信道;第二种情况是当无记忆源相互独立时,每个无记忆源在一定失真内仅在一个目的地被重构,但是信道是通用的,包括多用户信道,例如多址,广播,干扰和中继信道,可能具有反馈。第三种情况下,我们证明近似最优的源-通道分离,概括了第二种情况下,允许每个源在多个目的地重建不同的失真。在这种情况下,使用分离方法的最优性损失可以是上界的“差异”失真措施时,在特殊情况下的二次失真措施,这将导致普遍的常数界。

英文摘要:

We consider the source-channel separation architecture for lossy source coding in communication networks. It is shown that the separation approach is optimal in two general scenarios, and is approximately optimal in a third scenario. The two scenarios for which separation is optimal complement each other: the first is when the memoryless sources at source nodes are arbitrarily correlated, each of which is to be reconstructed at possibly multiple destinations within certain distortions, but the channels in this network are synchronized, orthogonal and memoryless point-to-point channels; the second is when the memoryless sources are mutually independent, each of which is to be reconstructed only at one destination within a certain distortion, but the channels are general, including multi-user channels such as multiple access, broadcast, interference and relay channels, possibly with feedback. The third scenario, for which we demonstrate approximate optimality of source-channel separation, generalizes the second scenario by allowing each source to be reconstructed at multiple destinations with different distortions. For this case, the loss from optimality by using the separation approach can be upper-bounded when a "difference" distortion measure is taken, and in the special case of quadratic distortion measure, this leads to universal constant bounds.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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