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Low-Complexity Cooperation with Correlated Sources: Diversity Order Analysis

机译:与相关来源的低复杂性合作:多样性秩序分析

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Wireless sensor networks, which consist of numerous devices that take measurements of a physical phenomenon, are commonly used to observe phenomena that are correlated in space. In this paper, we devise a low-complexity coding scheme for correlated sources based on Slepian-Wolf compression, and analyze its performance in terms of diversity order. The main idea of this scheme is to use the correlated measurements as a substitute for relay links. Although we show that the asymptotic diversity order is limited by the constant correlation factor, we give experimental results that show excellent performance over practical ranges of SNR.
机译:无线传感器网络组成,该网络组成,该装置包括用于物理现象的测量,通常用于观察在空间中相关的现象。在本文中,我们为基于绞线压缩的相关来源设计了低复杂性编码方案,并在多样性秩序方面分析其性能。该方案的主要思想是使用相关测量作为中继链路的替代品。虽然我们表明渐近多样性秩序受到恒定相关因素的限制,但我们提供了实验结果,表现出对SNR的实际范围的出色表现。

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