Resolution-Adaptive All-Digital Spatial Equalization for mmWave Massive MU-MIMO
Paper i proceeding, 2021

All-digital basestation (BS) architectures for millimeter-wave (mmWave) massive multi-user multiple-input multiple-output (MU-MIMO), which equip each radio-frequency chain with dedicated data converters, have advantages in spectral efficiency, flexibility, and baseband-processing simplicity over hybrid analog-digital solutions. For all-digital architectures to be competitive with hybrid solutions in terms of power consumption, novel signal-processing methods and baseband architectures are necessary. In this paper, we demonstrate that adapting the resolution of the analog-to-digital converters (ADCs) and spatial equalizer of an all-digital system to the communication scenario (e.g., the number of users, modulation scheme, and propagation conditions) enables orders-of-magnitude power savings for realistic mmWave channels. For example, for a 256-BS-antenna 16-user system supporting 1 GHz bandwidth, a traditional baseline architecture designed for a 64-user worst-case scenario would consume 23 W in 28 nm CMOS for the ADC array and the spatial equalizer, whereas a resolution-adaptive architecture is able to reduce the power consumption by 6.7×.


Oscar Castañeda

Eidgenössische Technische Hochschule Zürich (ETH)

Seyed Hadi Mirfarshbafan

Eidgenössische Technische Hochschule Zürich (ETH)

Shahaboddin Ghajari

Cornell University

Alyosha Molnar

Cornell University

Sven Jacobsson

Ericsson AB

Giuseppe Durisi

Chalmers, Elektroteknik, Kommunikation, Antenner och Optiska Nätverk

Christoph Studer

Eidgenössische Technische Hochschule Zürich (ETH)

IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC

978-1-6654-2851-4 (ISBN)

2021 IEEE 22nd International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
Lucca, Italy,


Informations- och kommunikationsteknik







Mer information

Senast uppdaterat