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On Achievability for Downlink Cloud Radio Access Networks with Base Station Cooperation

机译:基于Base的下行云无线接入网的可实现性   车站合作

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摘要

This work investigates the downlink of a cloud radio access network (C-RAN)in which a central processor communicates with two mobile users through twobase stations (BSs). The BSs act as relay nodes and cooperate with each otherthrough error-free rate-limited links. We develop and analyze two codingschemes for this scenario. The first coding scheme is based on Liu-Kang schemefor C-RANs without BS cooperation; and extends it to scenarios allowingconferencing between the BSs. Among few other features, our new coding schemeenables arbitrary correlation among the auxiliary codewords that are recoveredby the BSs. It also introduces common codewords to be described to both BSs.For the analysis of this coding scheme, we extend the multivariate coveringlemma to non-Cartesian product sets, thereby correcting an erroneousapplication of this lemma in Liu-Kang's related work. We highlight key aspectsof this scheme by studying three important instances of it. The second codingscheme extends the so-called compression scheme that was originally developedfor memoryless Gaussian C-RANs without BS cooperation to general discretememoryless C-RANs with BS cooperation. We show that this scheme subsumes theoriginal compression scheme when applied to memoryless Gaussian C-RAN models.In the analysis of this scheme, we also highlight important connections withthe so-called distributed decode--forward scheme, and refine the approximatecapacity of a general $N$-BS $L$-user C-RAN model in the memoryless Gaussiancase.
机译:这项工作研究了云无线电接入网络(C-RAN)的下行链路,其中中央处理器通过两个基站(BS)与两个移动用户进行通信。 BS充当中继节点,并通过无差错速率限制链路相互协作。我们针对这种情况开发并分析了两种编码方案。第一种编码方案是基于Liu-Kang方案,用于没有BS合作的C-RAN。并将其扩展到允许BS之间进行会议的场景。除其他一些功能外,我们的新编码方案还可以使BS恢复的辅助码字之间具有任意相关性。为了分析这种编码方案,我们将多元覆盖引理扩展到非笛卡尔积集,从而纠正了该引理在刘康相关工作中的错误应用。通过研究该方案的三个重要实例,我们突出了该方案的关键方面。第二种编码方案将最初为无BS合作的无记忆高斯C-RAN开发的所谓压缩方案扩展为具有BS合作的一般离散无内存C-RAN。我们证明了该方案在应用于无记忆高斯C-RAN模型时包含了原始压缩方案,在对该方案的分析中,我们还强调了与所谓的分布式解码-转发方案的重要联系,并提炼了通用$的近似容量无记忆高斯情况下的N $ -BS $ L $用户C-RAN模型。

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