141 citations · 160 across the 3 of their papers we have counts for
7 papers
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…
Deep Reinforcement Learning Radio Control and Signal Detection with KeRLym, a Gym RL Agent
Timothy J. O'Shea, T. Charles Clancy
This paper presents research in progress investigating the viability and adaptation of reinforcement learning using deep neural network based function approximation for the task of…
A Modest Proposal for Open Market Risk Assessment to Solve the Cyber-Security Problem
Timothy J. O'Shea, Adam Mondl, T. Charles. Clancy
We introduce a model for a market based economic system of cyber-risk valuation to correct fundamental problems of incentives within the information technology and information proc…
GNU Radio Signal Processing Models for Dynamic Multi-User Burst Modems
Timothy J O'Shea, Kiran Karra
This paper presents a modern method for implementing burst modems in GNU Radio. Since burst modems are widely used for multi-user channel access and sharing in non-broadcast radio…