Hardware-Friendly Two-Stage Spatial Equalization for All-Digital mmWave Massive MU-MIMO
Paper in 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.

Author

Oscar Castañeda

Swiss Federal Institute of Technology in Zürich (ETH)

Sven Jacobsson

Ericsson

Giuseppe Durisi

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

Tom Goldstein

University of Maryland

Christoph Studer

Swiss Federal Institute of Technology in Zürich (ETH)

Conference Record - Asilomar Conference on Signals, Systems and Computers

10586393 (ISSN)

Vol. 2020-November 388-392 9443327

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

Subject Categories

Telecommunications

Signal Processing

Other Electrical Engineering, Electronic Engineering, Information Engineering

DOI

10.1109/IEEECONF51394.2020.9443327

More information

Latest update

6/24/2021