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Title: Hardware-Friendly Two-Stage Spatial Equalization for All-Digital mmWave Massive MU-MIMO
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.  more » « less
Award ID(s):
1717559
NSF-PAR ID:
10315881
Author(s) / Creator(s):
; ; ; ;
Date Published:
Journal Name:
54th Asilomar Conference on Signals, Systems, and Computers
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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