Performance Analysis of Digital Beamforming mmWave MIMO with Low-Resolution DACs/ADCs
Faruk Pasic, Mariam Mussbah, Stefan Schwarz, Markus Rupp, Fredrik Tufvesson, Christoph F. Mecklenbr\"auker

TL;DR
This paper evaluates the impact of low-resolution DACs/ADCs on the performance of digital beamforming mmWave MIMO systems, highlighting a trade-off between energy efficiency and spectral efficiency.
Contribution
It provides a detailed analysis of channel estimation performance and system trade-offs in fully digital mmWave MIMO with low-resolution quantizers.
Findings
4-bit quantization balances energy and data rate effectively
Low-resolution DACs/ADCs cause manageable distortion in system performance
Moderate quantization resolutions improve power efficiency without significant spectral loss
Abstract
Future wireless communications will rely on multiple-input multiple-output (MIMO) beamforming operating at millimeter wave (mmWave) frequency bands to deliver high data rates. To support flexible spatial processing and meet the demands of latency critical applications, it is essential to use fully digital mmWave MIMO beamforming, which relies on accurate channel estimation. However, ensuring power efficiency in fully digital mmWave MIMO systems requires the use of low-resolution digital-to-analog converters (DACs) and analog-to-digital converters (ADCs). The reduced resolution of these quantizers introduces distortion in both transmitted and received signals, ultimately degrading system performance. In this paper, we investigate the channel estimation performance of mmWave MIMO systems employing fully digital beamforming with low-resolution quantization, under practical system…
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Taxonomy
TopicsMillimeter-Wave Propagation and Modeling · Advanced MIMO Systems Optimization · Advanced Wireless Communication Technologies
