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首页> 外文期刊>Information Theory, IEEE Transactions on >Compress-and-Forward Scheme for Relay Networks: Backword Decoding and Connection to Bisubmodular Flows
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Compress-and-Forward Scheme for Relay Networks: Backword Decoding and Connection to Bisubmodular Flows

机译:中继网络的压缩转发方案:Backword解码和双子模数流的连接

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摘要

In this paper, a compress-and-forward scheme with backward decoding is presented for the unicast wireless relay network. The encoding at the source and relay is a generalization of the noisy network coding (NNC) scheme. While it achieves the same reliable data rate as NNC scheme, the backward decoding allows for a better decoding complexity as compared with the joint decoding of the NNC scheme. Characterizing the layered decoding scheme is shown to be equivalent to characterizing an information flow for the wireless network. A node-flow for a graph with bisubmodular capacity constraints is presented and a max-flow min-cut theorem is presented. This generalizes many well-known results of flows over capacity constrained graphs studied in computer science literature. The results for the unicast relay network are generalized to the network with multiple sources with independent messages intended for a single destination.
机译:本文提出了一种用于单播无线中继网络的具有反向解码的压缩转发方案。源和中继处的编码是对噪声网络编码(NNC)方案的概括。虽然它实现了与NNC方案相同的可靠数据速率,但是与NNC方案的联合解码相比,后向解码允许更好的解码复杂性。示出了表征分层解码方案等同于表征用于无线网络的信息流。给出了具有双亚模容量约束的图的节点流,并给出了最大流最小割定理。这概括了计算机科学文献中研究的容量约束图上流的许多众所周知的结果。单播中继网络的结果被推广到具有多个源的网络,这些源具有针对单个目标的独立消息。

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