Hardware-friendly two-stage spatial equalization for all-digital mm-wave massive MU-MIMO
Paper in proceedings, 2020

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.


Oscar Castaneda

Sven Jacobsson

Giuseppe Durisi

Chalmers, Electrical Engineering, Communication and Antenna Systems, Communication Systems

Tom Goldstein

Christoph Studer

Conference Record - Asilomar Conference on Signals, Systems and Computers

10586393 (ISSN)

Proc. Asilomar Conf. Signals, Syst., Comput
Pacific Grove, ,

Integrated Antenna Arrays (VINNOVA Competence Center ChaseOn)

VINNOVA, 2016-01-01 -- 2021-12-31.

Areas of Advance

Information and Communication Technology

Subject Categories


Signal Processing

Computer Science

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