On Stochastic Orders and Fading Gaussian Multi-User Channels with Statistical CSIT
On Stochastic Orders and Fading Gaussian Multi-User Channels with Statistical CSIT
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基于统计 CSIT 的随机阶和衰落高斯多用户信道
DOI：
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发表时间：
2019
期刊：
影响因子：
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通讯作者：
Rafael F. Schaefer
中科院分区：
文献类型：
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作者：
Pin;Eduard Axel Jorswieck;C. Janda;M. Mittelbach;Rafael F. Schaefer
本文研究了在发送端只有统计信道状态信息的衰落高斯多用户信道的各态历经容量。主要贡献有两个方面：首先，我们引入了一个框架来分类随机衰落信道的联合分布的基础上，这样我们就可以构建等效信道，以直接利用现有的容量结果。为了实现这一目标，我们利用三个方案：最大耦合，耦合，和copulas除了通常的随机顺序具有相同的边际属性。其次，我们将开发的框架应用到高斯广播信道，高斯干扰信道和高斯窃听信道，以获得新的容量（区域）的结果。
In this paper, ergodic capacities of fading Gaussian multi-user channels with only statistical channel state information at the transmitter are considered. The main contributions are twofold: First, we introduce a framework to classify random fading channels solely based on their joint distributions, such that we can construct equivalent channels in order to directly make use of existing capacity results. To attain this goal, we leverage three schemes: maximal coupling, coupling, and copulas in addition to the usual stochastic order with the same marginal property. Second, we apply the developed framework to Gaussian broadcast channels, Gaussian interference channels, and Gaussian wiretap channels to obtain novel capacity (region) results.