Hardware-Friendly Two-Stage Spatial Equalization for All-Digital mmWave Massive MU-MIMO
Abstract
Next generation wireless communication systems are expected to combine millimeter-wave communication with massive multi-user multiple-input multiple-output technology. All-digital base-station implementations for such systems need to process high-dimensional data at extremely high rates, which results in excessively high power consumption. In this paper, we propose two-stage spatial equalizers that first reduce the problem dimension by means of a hardware-friendly, low-resolution linear transform followed by spatial equalization on a lower-dimensional signal. We consider adaptive and non-adaptive dimensionality reduction strategies and demonstrate that the proposed two-stage spatial equalizers are able to approach the performance of conventional linear spatial equalizers that directly operate on high-dimensional data, while offering the potential to reduce the power consumption of spatial equalization. Show more
Permanent link
https://doi.org/10.3929/ethz-b-000458211Publication status
publishedExternal links
Book title
2020 54th Asilomar Conference on Signals, Systems, and ComputersPages / Article No.
Publisher
IEEEEvent
Organisational unit
09695 - Studer, Christoph / Studer, Christoph
Notes
Conference lecture held on November 2, 2020. Due to the Coronavirus (COVID-19) the conference was conducted virtually.More
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