Finite-Alphabet MMSE Equalization for All-Digital Massive MU-MIMO mmWave Communication
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 naive 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 3.9x and 5.8x, respectively.

hardware implementation

massive multi-user MIMO

minimum mean-square error (MMSE)

Millimeter wave (mmWave)

spatial equalization



Oscar Castaneda

Cornell University

Cornell Tech

Sven Jacobsson

Chalmers, Elektroteknik, Kommunikations- och antennsystem, Kommunikationssystem

Giuseppe Durisi

Chalmers, Elektroteknik, Kommunikations- och antennsystem, Kommunikationssystem

Tom Goldstein

University of Maryland

Christoph Studer

Cornell Tech

Cornell University

IEEE Journal on Selected Areas in Communications

0733-8716 (ISSN)

Vol. 38 9 2128-2141







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