activity
20162025
most citedConvolutional Radio Modulation Recognition Networks

53 citations · 66 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SP2025★ 1 cited

OpenGERT: Open Source Automated Geometry Extraction with Geometric and Electromagnetic Sensitivity Analyses for Ray-Tracing Propagation Models

Serhat Tadik, Rajib Bhattacharjea, Johnathan Corgan +3

Accurate RF propagation modeling in urban environments is critical for developing digital spectrum twins and optimizing wireless communication systems. We introduce OpenGERT, an op…

eess.SP2024

How Critical is Site-Specific RAN Optimization? 5G Open-RAN Uplink Air Interface Performance Test and Optimization from Macro-Cell CIR Data

Johnathan Corgan, Nitin Nair, Rajib Bhattacharjea +4

In this paper, we consider the importance of channel measurement data from specific sites and its impact on air interface optimization and test. Currently, a range of statistical c…

cs.LG2016★ 3 cited

End-to-End Radio Traffic Sequence Recognition with Deep Recurrent Neural Networks

Timothy J. O'Shea, Seth Hitefield, Johnathan Corgan

We investigate sequence machine learning techniques on raw radio signal time-series data. By applying deep recurrent neural networks we learn to discriminate between several applic…

cs.LG2016★ 9 cited

Unsupervised Representation Learning of Structured Radio Communication Signals

Timothy J. O'Shea, Johnathan Corgan, T. Charles Clancy

We explore unsupervised representation learning of radio communication signals in raw sampled time series representation. We demonstrate that we can learn modulation basis function…

cs.LG2016★ 53 cited

Convolutional Radio Modulation Recognition Networks

Timothy J O'Shea, Johnathan Corgan, T. Charles Clancy

We study the adaptation of convolutional neural networks to the complex temporal radio signal domain. We compare the efficacy of radio modulation classification using naively learn…