45 citations · 48 across the 5 of their papers we have counts for
5 papers
Deep Learning Based Joint Multi-User MISO Power Allocation and Beamforming Design
Cemil Vahapoglu, Timothy J. O'Shea, Tamoghna Roy +1
The evolution of fifth generation (5G) wireless communication networks has led to an increased need for wireless resource management solutions that provide higher data rates, wide…
Deep Learning Based Uplink Multi-User SIMO Beamforming Design
Cemil Vahapoglu, Timothy J. O'Shea, Tamoghna Roy +1
The advancement of fifth generation (5G) wireless communication networks has created a greater demand for wireless resource management solutions that offer high data rates, extensi…
Recurrent Neural Radio Anomaly Detection
Timothy J O'Shea, T. Charles Clancy, Robert W. McGwier
We introduce a powerful recurrent neural network based method for novelty detection to the application of detecting radio anomalies. This approach holds promise in significantly in…
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…
Learning to Communicate: Channel Auto-encoders, Domain Specific Regularizers, and Attention
Timothy J O'Shea, Kiran Karra, T. Charles Clancy
We address the problem of learning efficient and adaptive ways to communicate binary information over an impaired channel. We treat the problem as reconstruction optimization throu…