Subspace estimation and decomposition for hybrid analog-digital millimetre-wave MIMO systems

H. Ghauch, M. Bengtsson, Taejoon Kim, M. Skoglund
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引用次数: 27

Abstract

In this work, we address the problem of channel estimation and precoding / combining for the so-called hybrid millimeter wave (mmWave) MIMO architecture. Our proposed channel estimation scheme exploits channel reciprocity in TDD MIMO systems, by using echoing, thereby allowing us to implement Krylov subspace methods in a fully distributed way. The latter results in estimating the right (resp. left) singular subspace of the channel at the transmitter (resp. receiver). Moreover, we also tackle the problem of subspace decomposition whereby the estimated right (resp. left) singular subspaces are approximated by a cascade of analog and digital precoder (resp. combiner), using an iterative method. Finally we compare our scheme with an equivalent fully digital case and conclude that a relatively similar performance can be achieved, however, with a drastically reduced number of RF chains - 4 ~ 8 times less (i.e., massive savings in cost and power consumption).
模拟-数字混合毫米波MIMO系统的子空间估计与分解
在这项工作中,我们解决了所谓的混合毫米波(mmWave) MIMO架构的信道估计和预编码/组合问题。我们提出的信道估计方案利用TDD MIMO系统中的信道互易性,通过使用回声,从而允许我们以完全分布式的方式实现Krylov子空间方法。后者的结果是估计正确的(响应)。(左)发射机信道的奇异子空间。接收器)。此外,我们还解决了子空间分解问题,其中估计的权利(对应)。左)奇异子空间由模拟和数字预编码器级联近似。组合器),使用迭代方法。最后,我们将我们的方案与等效的全数字化案例进行了比较,得出的结论是,可以实现相对相似的性能,但是,射频链的数量大幅减少-减少4 ~ 8倍(即大量节省成本和功耗)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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