371 citations · 2.6k across the 122 of their papers we have counts for
13 papers · 1 filter
Cloud-Cluster Architecture for Detection in Intermittently Connected Sensor Networks
Michal Yemini, Stephanie Gil, Andrea J. Goldsmith
We consider a centralized detection problem where sensors experience noisy measurements and intermittent connectivity to a centralized fusion center. The sensors collaborate locall…
Model-Based Machine Learning for Communications
Nir Shlezinger, Nariman Farsad, Yonina C. Eldar +1
We present an introduction to model-based machine learning for communication systems. We begin by reviewing existing strategies for combining model-based algorithms and machine lea…
Interference Reduction in Virtual Cell Optimization
Michal Yemini, Elza Erkip, Andrea J. Goldsmith
Virtual cell optimization clusters cells into neighborhoods and performs optimized resource allocation over each neighborhood. In prior works we proposed resource allocation scheme…
Data-Driven Symbol Detection via Model-Based Machine Learning
Nariman Farsad, Nir Shlezinger, Andrea J. Goldsmith +1
The design of symbol detectors in digital communication systems has traditionally relied on statistical channel models that describe the relation between the transmitted symbols an…
Deep Neural Network Symbol Detection for Millimeter Wave Communications
Yun Liao, Nariman Farsad, Nir Shlezinger +2
This paper proposes to use a deep neural network (DNN)-based symbol detector for mmWave systems such that CSI acquisition can be bypassed. In particular, we consider a sliding bidi…
Low Noise Non-Linear Equalization Using Neural Networks and Belief Propagation
Etsushi Yamazaki, Nariman Farsad, Andrea Goldsmith
Nonlinearities can be introduced into communication systems by the physical components such as the power amplifier, or during signal propagation through a nonlinear channel. These…