Finite-alphabet MMSE equalization for all-digital massive MU-MIMO mmWave communications
Artikel i vetenskaplig tidskrift, 2020

We propose finite-alphabet equalization, a new paradigm that restricts the entries of the spatial equalization matrix to low-resolution numbers, enabling high-throughput, low-power, and low-cost hardware equalizers. To minimize the performance loss of this paradigm, we introduce FAME, short for finite-alphabet minimum mean-square error (MMSE) equalization, which is able to significantly outperform a naïve quantization of the linear MMSE matrix. We develop efficient algorithms to approximately solve the NP-hard FAME problem and showcase that near-optimal performance can be achieved with equalization coefficients quantized to only 1-3 bits for massive multi-user multiple-input multiple-output (MU-MIMO) millimeter-wave (mmWave) systems. We provide very-large scale integration (VLSI) results that demonstrate a reduction in equalization power and area by at least a factor of 3.9× and 5.8×, respectively.

massive multi-user MIMO

spatial equalization


Millimeter wave (mmWave)

hardware implementation.

minimum mean-square error (MMSE)


Oscar Castaneda

Cornell University

Sven Jacobsson

Ericsson AB

Chalmers, Elektroteknik, Kommunikations- och antennsystem, Kommunikationssystem

Giuseppe Durisi

Chalmers, Elektroteknik, Kommunikations- och antennsystem, Kommunikationssystem

Tom Goldstein

University of Maryland

Christoph Studer

Cornell University

IEEE Journal on Selected Areas in Communications

0733-8716 (ISSN)

Vol. 38 9 2128 -2141 9110827

Massive MIMO med lågprecisionsomvandlare

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

Massiv MIMO-system med olinjär, icke-ideal hårdvara

Stiftelsen för Strategisk forskning (SSF), 2014-01-01 -- 2015-12-31.







Mer information

Senast uppdaterat