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Rate maximization in coupled MIMO systems: A generic algorithm for designing single-port matching networks

机译：耦合MIMO系统中的速率最大化：一种用于设计单端口匹配网络的通用算法

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摘要

Compact arrays are known to be associated with antenna coupling and noise correlation. The noise can be either antenna noise, LNA noise or downstream noise. Due to these effects, it was shown that the matching network affects the performance of MIMO systems with coupled receiver antennas. Since the optimal multiport matching network is of very high complexity as well as very narrow operation bandwidth, development of single-port (SP) matching networks that boost the performance became inevitable. In this paper we develop a gradient-search algorithm to design the matching network for achievable rate maximization of multi user MIMO systems. For any combination of noise sources, we rigorously derive the exact gradient of the achievable rate with respect to the components of the matching network. We assume either full knowledge of the spatial channel or knowing its statistical properties. In the later case we optimize the matching network to maximize the Jensen's bound. Substantial performance enhancement is shown when our algorithms are used. Significant reduction in the array area is gained in comparison to the often used λ/2 antenna spacing without taking coupling into account. This can be vital for future wireless systems adopting massive MIMO arrays. Via eigenvalues distribution simulations at different SNR regimes, we show an intuitive link to the communication theory.
机译：已知紧凑型阵列与天线耦合和噪声相关联。噪声可以是天线噪声，LNA噪声或下游噪声。由于这些效果，示出匹配网络影响MIMO系统与耦合接收器天线的性能。由于最佳多端口匹配网络具有非常高的复杂性以及非常窄的操作带宽，因此开发单端口（SP）匹配网络，促使性能变得不可避免。本文开发了一种梯度搜索算法来设计匹配网络，实现多用户MIMO系统的可实现速率最大化。对于任何噪声源的组合，我们严格地导出了相对于匹配网络的组件的可实现速率的精确梯度。我们假设全面了解空间渠道或了解其统计属性。在后面的情况下，我们优化匹配网络以最大化Jensen的绑定。当使用我们的算法时，显示了实质性的性能增强。与经常使用的λ/ 2天线间距相比，阵列区域的显着减小而不考虑到耦合。这对于采用大规模的MIMO阵列的未来无线系统至关重要。通过不同SNR制度的特征值分布模拟，我们展示了通信理论的直观链接。

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