16 citations · 26 across the 20 of their papers we have counts for
6 papers · 1 filter
Analog vs. Digital Spatial Transforms: A Throughput, Power, and Area Comparison
Zephan M. Enciso, Seyed Hadi Mirfarshbafan, Oscar Castañeda +3
Spatial linear transforms that process multiple parallel analog signals to simplify downstream signal processing find widespread use in multi-antenna communication systems, machine…
Finite-Alphabet Wiener Filter Precoding for mmWave Massive MU-MIMO Systems
Oscar Castañeda, Sven Jacobsson, Giuseppe Durisi +2
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 op…
High-Bandwidth Spatial Equalization for mmWave Massive MU-MIMO with Processing-In-Memory
Oscar Castañeda, Sven Jacobsson, Giuseppe Durisi +2
All-digital basestation (BS) architectures enable superior spectral efficiency compared to hybrid solutions in massive multi-user MIMO systems. However, supporting large bandwidths…
Soft-Output Finite Alphabet Equalization for mmWAVE Massive MIMO
Oscar Castañeda, Sven Jacobsson, Giuseppe Durisi +2
Next-generation wireless systems are expected to combine millimeter-wave (mmWave) and massive multi-user multiple-input multiple-output (MU-MIMO) technologies to deliver high data-…
Finite-Alphabet MMSE Equalization for All-Digital Massive MU-MIMO mmWave Communication
Oscar Castañeda, Sven Jacobsson, Giuseppe Durisi +2
We propose finite-alphabet equalization, a new paradigm that restricts the entries of the spatial equalization matrix to low-resolution numbers, enabling high-throughput, low-power…
WrapNet: Neural Net Inference with Ultra-Low-Resolution Arithmetic
Renkun Ni, Hong-min Chu, Oscar Castañeda +3
Low-resolution neural networks represent both weights and activations with few bits, drastically reducing the multiplication complexity. Nonetheless, these products are accumulated…