A cross-layer approach for ultra-low-latency machine type communication. - Oliver Ploder; Nino Palaoro; Bernhard Etzlinger; Andreas Springer (ICC, 2017)

A Neural Network Approach for the Cancellation of the Second-Order-Intermodulation Distortion in Future Cellular RF Transceivers. - Oliver Ploder; Christian Motz; Thomas Paireder; Mario Huemer (ACSSC, 2019)

Kernel Adaptive Filters: A Panacea for Self-interference Cancellation in Mobile Communication Transceivers? - Christina Auer; Andreas Gebhard; Christian Motz; Thomas Paireder; Oliver Ploder; Ram Sunil Kanumalli; Alexander Melzer; Oliver Lang; Mario Huemer (EUROCAST (2), 2019)

Enhanced Transform-Domain LMS Based Self-interference Cancellation in LTE Carrier Aggregation Transceivers. - Christian Motz; Oliver Ploder; Thomas Paireder; Mario Huemer (EUROCAST (2), 2019)

An Adaptive Machine Learning Based Approach for the Cancellation of Second-Order-Intermodulation Distortions in 4G/5G Transceivers. - Oliver Ploder; Oliver Lang; Thomas Paireder; Mario Huemer (VTC Fall, 2019)

Support Vector Machines for Self-Interference Cancellation in Mobile Communication Transceivers. - Christina Auer; Kyriaki Kostoglou; Thomas Paireder; Oliver Ploder; Mario Huemer (VTC Spring, 2020)

Digitally Intensive Mixed-Signal Approach for Self-Interference Cancellation in LTE-A/5G-Transceivers. - Oliver Ploder; Christian Motz; Thomas Paireder; Christina Auer; Harald Pretl; Mario Huemer (ISCAS, 2021)

Adaptive System Identification via Low-Rank Tensor Decomposition. - Christina Auer; Oliver Ploder; Thomas Paireder; Péter Kovács 001; Oliver Lang; Mario Huemer (IEEE Access, 2021)

SICNet - Low Complexity Sample Adaptive Neural Network-Based Self-Interference Cancellation in LTE-A/5G Mobile Transceivers. - Oliver Ploder; Christina Auer; Christian Motz; Thomas Paireder; Oliver Lang; Mario Huemer (IEEE Open J. Commun. Soc., 2022)

Complex-valued Adaptive System Identification via Low-Rank Tensor Decomposition. - Oliver Ploder; Christina Auer; Oliver Lang; Thomas Paireder; Mario Huemer (CoRR, 2023)