Hardware-Friendly Two-Stage Spatial Equalization for All-Digital mmWave Massive MU-MIMO
Paper i proceeding, 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 Castañeda

Eidgenössische Technische Hochschule Zürich (ETH)

Sven Jacobsson

Ericsson AB

Giuseppe Durisi

Chalmers, Elektroteknik, Kommunikation, Antenner och Optiska Nätverk

Tom Goldstein

University of Maryland

Christoph Studer

Eidgenössische Technische Hochschule Zürich (ETH)

Conference Record - Asilomar Conference on Signals, Systems and Computers

10586393 (ISSN)

Vol. 2020-November 388-392 9443327
9780738131269 (ISBN)

54th Asilomar Conference on Signals, Systems and Computers, ACSSC 2020
Pacific Grove, USA,

Massive MIMO med lågprecisionsomvandlare

Stiftelsen för Strategisk forskning (SSF) (ID14-0022), 2015-03-01 -- 2020-02-28.




Annan elektroteknik och elektronik



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