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Role of Channel Power in Sub-linear Capacity Scaling of MIMO Channels

机译:信道功率在MIMO信道亚线性容量扩展中的作用

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摘要

Multi-antenna systems have been shown to offer a linear scaling of capacity under rich scattering conditions. The question of capacity scaling under correlated channel conditions is still not well understood. Earlier results in [3] and [4] which showed linear scaling of capacity under a Kronecker product correlation model and a D-connected model respectively, correspond to a quadratic scaling of channel power with the number of antennas. In this paper we show that channel power per antenna is the fundamental quantity that governs capacity scaling in correlated channels. We show that uniform power capacity scales as O( f (N)), where f(N) is a sub-linear function of N, if and only if channel power scales as O(N f (N)). Using a virtual representation of multi-antenna channels, we relate this capacity scaling result to the scaling of the number of paths captured by the antenna arrays. It is necessary and sufficient that the number of resolvable paths in the physical environment (also the number of independent degrees of freedom in the channel matrix) scale as O(N f (N)) to support an O (f (N)) scaling of capacity. Thus, our results establish new capacity scaling regimes for physical correlated MIMO channels.
机译:事实证明,多天线系统在富散射条件下可提供线性的容量缩放比例。在相关信道条件下的容量缩放问题仍然没有被很好地理解。文献[3]和[4]中的早期结果分别显示了在Kronecker乘积相关模型和D-connected模型下容量的线性缩放,这对应于天线功率随信道功率的二次缩放。在本文中,我们证明了每个天线的信道功率是控制相关信道容量缩放的基本量。我们证明,当且仅当信道功率缩放为O(N f(N))时,均匀功率容量才能缩放为O(f(N)),其中f(N)是N的子线性函数。使用多天线信道的虚拟表示,我们将此容量缩放结果与天线阵列捕获的路径数量的缩放相关。物理环境中可解析路径的数量(以及通道矩阵中独立自由度的数量)按O(N f(N))缩放以支持O(f(N))缩放是必要且充分的容量。因此,我们的结果为物理相关的MIMO信道建立了新的容量缩放机制。

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