activity
20152020
most citedOn the Capacity of Narrowband PLC Channels

60 citations · 67 across the 4 of their papers we have counts for

collaborators

18 papers

eess.SP20201 cited

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…

eess.SP2020

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…

cs.IT2020

The Rate Distortion Function of Asynchronously Sampled Memoryless Cyclostationary Gaussian Processes

Emeka Abakasanga, Nir Shlezinger, Ron Dabora

Man-made communications signals are typically modelled as continuous-time (CT) wide-sense cyclostationary (WSCS) processes. As modern processing is digital, it operates on sampled…

eess.SP2020

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…

cs.IT2020

Task-Based Quantization with Application to MIMO Receivers

Nir Shlezinger, Yonina C. Eldar

Multiple-input multiple-output (MIMO) systems are required to communicate reliably at high spectral bands using a large number of antennas, while operating under strict power and c…

eess.SP2020

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…