60 citations · 71 across the 6 of their papers we have counts for
12 papers · 1 filter
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…
eSampling: Energy Harvesting ADCs
Neha Jain, Nir Shlezinger, Bhawna Tiwari +4
Analog-to-digital converters (ADCs) allow physical signals to be processed using digital hardware. The power consumed in conversion grows with the sampling rate and quantization re…
Dynamic Metasurface Antennas for 6G Extreme Massive MIMO Communications
Nir Shlezinger, George C. Alexandropoulos, Mohammadreza F. Imani +2
Next generation wireless base stations and access points will transmit and receive using extremely massive numbers of antennas. A promising technology for realizing such massive ar…
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…
DeepSIC: Deep Soft Interference Cancellation for Multiuser MIMO Detection
Nir Shlezinger, Rong Fu, Yonina C. Eldar
Digital receivers are required to recover the transmitted symbols from their observed channel output. In multiuser multiple-input multiple-output (MIMO) setups, where multiple symb…
MAJoRCom: A Dual-Function Radar Communication System Using Index Modulation
Tianyao Huang, Nir Shlezinger, Xingyu Xu +2
Dual-function radar communication (DFRC) systems implement both sensing and communication using the same hardware. Such schemes are often more efficient in terms of size, power, an…