Hardware-friendly two-stage spatial equalization for all-digital mm-wave 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.

Författare

Oscar Castaneda

Sven Jacobsson

Giuseppe Durisi

Chalmers, Elektroteknik, Kommunikations- och antennsystem, Kommunikationssystem

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.

Styrkeområden

Informations- och kommunikationsteknik

Ämneskategorier

Telekommunikation

Signalbehandling

Datavetenskap (datalogi)

Mer information

Skapat

2020-12-09