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Nested Lattice Codes for Gaussian Relay Networks With Interference

机译:具有干扰的高斯中继网络的嵌套格码

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In this paper, we consider a class of single-source multicast relay networks. We assume that all outgoing channels of a node in the network to its neighbors are orthogonal while the incoming signals from its neighbors can interfere with each other. We first focus on Gaussian relay networks with interference and find an achievable rate using a lattice coding scheme. We show that the achievable rate of our scheme is within a constant bit gap from the information theoretic cut-set bound, where the constant depends only on the network topology, but not on the transmit power, noise variance, and channel gains. This is similar to a recent result by Avestimehr, Diggavi, and Tse, who showed an approximate capacity characterization for general Gaussian relay networks. However, our achievability uses a structured code instead of a random one. Using the idea used in the Gaussian case, we also consider a linear finite-field symmetric network with interference and characterize its capacity using a linear coding scheme.
机译:在本文中,我们考虑了一类单源多播中继网络。我们假设网络中某个节点到其邻居的所有传出通道都是正交的,而来自其邻居的传入信号可能会相互干扰。我们首先关注具有干扰的高斯中继网络,并使用晶格编码方案找到可达到的速率。我们表明,该方案的可实现速率与信息理论割集边界处于恒定的位间隙之内,其中该常数仅取决于网络拓扑,而不取决于发射功率,噪声方差和信道增益。这类似于Avestimehr,Diggavi和Tse的最新结果,他们显示了一般高斯中继网络的近似容量特征。但是,我们的可实现性使用结构化代码而不是随机代码。使用在高斯情况下使用的思想,我们还考虑了具有干扰的线性有限域对称网络,并使用线性编码方案来表征其容量。

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