1.6k citations · 1.9k across the 22 of their papers we have counts for
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Over the Air Deep Learning Based Radio Signal Classification
Timothy J. O'Shea, Tamoghna Roy, T. Charles Clancy
We conduct an in depth study on the performance of deep learning based radio signal classification for radio communications signals. We consider a rigorous baseline method using hi…
Deep Learning Based MIMO Communications
Timothy J. O'Shea, Tugba Erpek, T. Charles Clancy
We introduce a novel physical layer scheme for single user Multiple-Input Multiple-Output (MIMO) communications based on unsupervised deep learning using an autoencoder. This metho…
Learning Approximate Neural Estimators for Wireless Channel State Information
Timothy J. O'Shea, Kiran Karra, T. Charles Clancy
Estimation is a critical component of synchronization in wireless and signal processing systems. There is a rich body of work on estimator derivation, optimization, and statistical…
Deep Architectures for Modulation Recognition
Nathan E West, Timothy J. O'Shea
We survey the latest advances in machine learning with deep neural networks by applying them to the task of radio modulation recognition. Results show that radio modulation recogni…
An Introduction to Deep Learning for the Physical Layer
Timothy J. O'Shea, Jakob Hoydis
We present and discuss several novel applications of deep learning for the physical layer. By interpreting a communications system as an autoencoder, we develop a fundamental new w…