1.6k citations · 1.9k across the 22 of their papers we have counts for
25 papers
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…
Detecting Irregular Network Activity with Adversarial Learning and Expert Feedback
Gopikrishna Rathinavel, Nikhil Muralidhar, Timothy O'Shea +1
Anomaly detection is a ubiquitous and challenging task relevant across many disciplines. With the vital role communication networks play in our daily lives, the security of these n…
Benchmarking and Interpreting End-to-end Learning of MIMO and Multi-User Communication
Jinxiang Song, Christian Häger, Jochen Schröder +3
End-to-end autoencoder (AE) learning has the potential of exceeding the performance of human-engineered transceivers and encoding schemes, without a priori knowledge of communicati…
SVD-Embedded Deep Autoencoder for MIMO Communications
Xinliang Zhang, Mojtaba Vaezi, Timothy J. O'Shea
Using a deep autoencoder (DAE) for end-to-end communication in multiple-input multiple-output (MIMO) systems is a novel concept with significant potential. DAE-aided MIMO has been…
Wideband Signal Localization with Spectral Segmentation
Nathan West, Tamoghna Roy, Timothy O'Shea
Signal localization is a spectrum sensing problem that jointly detects the presence of a signal and estimates a center frequency and bandwidth. This is a step beyond most spectrum…
A Wideband Signal Recognition Dataset
Nathan West, Timothy O'Shea, Tamoghna Roy
Signal recognition is a spectrum sensing problem that jointly requires detection, localization in time and frequency, and classification. This is a step beyond most spectrum sensin…