Finite-Alphabet Wiener Filter Precoding for mmWave Massive MU-MIMO Systems
Paper in proceedings, 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.

Author

Oscar Castaneda

Cornell Tech

Sven Jacobsson

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

Giuseppe Durisi

Information and Communications technology

Tom Goldstein

University of Maryland

Christoph Studer

Cornell Tech

CONFERENCE RECORD OF THE 2019 FIFTY-THIRD ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS

1058-6393 (ISSN)

178-183

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

Subject Categories

Telecommunications

Communication Systems

Signal Processing

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7/30/2020