Finite-Alphabet Wiener Filter Precoding for mmWave Massive MU-MIMO Systems
Paper in proceeding, 2019

Power consumption of multi-user (MU) precoding is a major concern in all-digital massive MU multiple-input multiple-output (MIMO) base-stations with hundreds of antenna elements operating at millimeter-wave (mmWave) frequencies. We propose to replace part of the linear Wiener filter (WF) precoding matrix by a finite-alphabet WF precoding (FAWP) matrix, which enables the use of low-precision hardware that consumes low power and area. To minimize the performance loss of our approach, we present methods that efficiently compute FAWP matrices that best mimic the WF precoder. Our results show that FAWP matrices approach infinite-precision error-rate and error-vector magnitude performance with only 3-bit precoding weights, even when operating in realistic mmWave channels. Hence, FAWP is a promising approach to substantially reduce power consumption and silicon area in all-digital mmWave massive MU-MIMO systems.


Oscar Castaneda

Cornell Tech

Sven Jacobsson

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

Giuseppe Durisi

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

Tom Goldstein

University of Maryland

Christoph Studer

Cornell Tech

Conference Record - Asilomar Conference on Signals, Systems and Computers

10586393 (ISSN)

978-1-7281-4300-2 (ISBN)

53rd Asilomar Conference on Signals, Systems, and Computers
Pacific Grove, CA, USA,

Areas of Advance

Information and Communication Technology

Subject Categories


Communication Systems

Signal Processing



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