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Sebastian Cammerer

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Learning Radio Environments by Differentiable Ray Tracing

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Nov 30, 2023
Jakob Hoydis, Fayçal Aït Aoudia, Sebastian Cammerer, Florian Euchner, Merlin Nimier-David, Stephan ten Brink, Alexander Keller

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Sionna RT: Differentiable Ray Tracing for Radio Propagation Modeling

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Mar 20, 2023
Jakob Hoydis, Fayçal Aït Aoudia, Sebastian Cammerer, Merlin Nimier-David, Nikolaus Binder, Guillermo Marcus, Alexander Keller

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Graph Neural Networks for Channel Decoding

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Jul 29, 2022
Sebastian Cammerer, Jakob Hoydis, Fayçal Aït Aoudia, Alexander Keller

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Learning Joint Detection, Equalization and Decoding for Short-Packet Communications

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Jul 12, 2022
Sebastian Dörner, Jannis Clausius, Sebastian Cammerer, Stephan ten Brink

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Deep Learning-Based Synchronization for Uplink NB-IoT

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May 22, 2022
Fayçal Aït Aoudia, Jakob Hoydis, Sebastian Cammerer, Matthijs Van Keirsbilck, Alexander Keller

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Adaptive Neural Network-based OFDM Receivers

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Mar 25, 2022
Moritz Benedikt Fischer, Sebastian Dörner, Sebastian Cammerer, Takayuki Shimizu, Hongsheng Lu, Stephan ten Brink

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Sionna: An Open-Source Library for Next-Generation Physical Layer Research

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Mar 22, 2022
Jakob Hoydis, Sebastian Cammerer, Fayçal Ait Aoudia, Avinash Vem, Nikolaus Binder, Guillermo Marcus, Alexander Keller

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Deep Learning-based Polar Code Design

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Sep 27, 2019
Moustafa Ebada, Sebastian Cammerer, Ahmed Elkelesh, Stephan ten Brink

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Towards Practical Indoor Positioning Based on Massive MIMO Systems

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May 28, 2019
Mark Widmaier, Maximilian Arnold, Sebastian Dörner, Sebastian Cammerer, Stephan ten Brink

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On Recurrent Neural Networks for Sequence-based Processing in Communications

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May 24, 2019
Daniel Tandler, Sebastian Dörner, Sebastian Cammerer, Stephan ten Brink

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