Hardware-Friendly Two-Stage Spatial Equalization for All-Digital mmWave Massive MU-MIMO
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Date
2020-11
Publication Type
Conference Paper
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yes
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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.
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published
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Book title
2020 54th Asilomar Conference on Signals, Systems, and Computers
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Volume
Pages / Article No.
388 - 392
Publisher
IEEE
Event
54th Asilomar Conference on Signals, Systems, and Computers (ACSSC 2020) (virtual)
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Methods
Software
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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.