A Resolution-Adaptive 8 mm$^\text{2}$ 9.98 Gb/s 39.7 pJ/b 32-Antenna All-Digital Spatial Equalizer for mmWave Massive MU-MIMO in 65nm CMOS

no code implementations • 23 Jul 2021 • Oscar Castañeda, Zachariah Boynton, Seyed Hadi Mirfarshbafan, Shimin Huang, Jamie C. Ye, Alyosha Molnar, Christoph Studer

All-digital millimeter-wave (mmWave) massive multi-user multiple-input multiple-output (MU-MIMO) receivers enable extreme data rates but require high power consumption.

Resolution-Adaptive All-Digital Spatial Equalization for mmWave Massive MU-MIMO

no code implementations • 23 Jul 2021 • Oscar Castañeda, Seyed Hadi Mirfarshbafan, Shahaboddin Ghajari, Alyosha Molnar, Sven Jacobsson, Giuseppe Durisi, Christoph Studer

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.

Analog vs. Digital Spatial Transforms: A Throughput, Power, and Area Comparison

no code implementations • 15 Sep 2020 • Zephan M. Enciso, Seyed Hadi Mirfarshbafan, Oscar Castañeda, Clemens JS. Schaefer, Christoph Studer, Siddharth Joshi

Spatial linear transforms that process multiple parallel analog signals to simplify downstream signal processing find widespread use in multi-antenna communication systems, machine learning inference, data compression, audio and ultrasound applications, among many others.

Data Compression

Algorithm and VLSI Design for 1-bit Data Detection in Massive MIMO-OFDM

1 code implementation • 4 Sep 2020 • Seyed Hadi Mirfarshbafan, Mahdi Shabany, Seyed Alireza Nezamalhosseini, Christoph Studer

Since the system performance heavily depends on the quality of channel estimates, we also develop a nonlinear 1-bit channel estimation algorithm that builds upon the proposed data detection algorithm.

Quantization