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20162026
most citedSupervised-Learning-Aided Communication Framework for MIMO Systems with Low-Resolution ADCs

108 citations · 158 across the 43 of their papers we have counts for

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Showing 2020Show all

2 papers · 1 filter

eess.SP2020★ 4 cited

Data-Aided Channel Estimator for MIMO Systems via Reinforcement Learning

Yo-Seb Jeon, Jun Li, Nima Tavangaran +1

This paper presents a data-aided channel estimator that reduces the channel estimation error of the conventional linear minimum-mean-squared-error (LMMSE) method for multiple-input…

eess.SP2020★ 3 cited

A Compressive Sensing Approach for Federated Learning over Massive MIMO Communication Systems

Yo-Seb Jeon, Mohammad Mohammadi Amiri, Jun Li +1

Federated learning is a privacy-preserving approach to train a global model at a central server by collaborating with wireless devices, each with its own local training data set. I…