Publications | Research

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Artificial Intelligence and Machine Learning
Telecommunications

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2023

A Neural Receiver for 5G NR Multi-user MIMO

Sebastian Cammerer, Fayçal Aït Aoudia , Jakob Hoydis, Andreas Oeldemann, Andreas Roessler, Timo Mayer, Alex Keller

Sionna RT: Differentiable Ray Tracing for Radio Propagation Modeling

Jakob Hoydis, Fayçal Aït Aoudia , Sebastian Cammerer, Merlin Nimier-David, Nikolaus Binder, Guillermo Marcus, Alex Keller

Graph Neural Networks for Enhanced Decoding of Quantum LDPC Codes

Anqi Gong, Sebastian Cammerer, Joseph M. Renes

2022

Deep Learning-Based Synchronization for Uplink NB-IoT

Fayçal Aït Aoudia , Jakob Hoydis, Sebastian Cammerer, Matthijs Van keirsbilck, Alex Keller

Graph Neural Networks for Channel Decoding

Sebastian Cammerer, Jakob Hoydis, Fayçal Aït Aoudia , Alex Keller

Towards Adaptive Digital Self-Interference Cancellation in Full-Duplex Wireless Transceivers: APSM vs. Neural Networks

M. Hossein Attar, Kaixin Chang, Ramez Askar, Slawomir Stanczak, Sebastian Cammerer, Guillermo Marcus, Alex Keller

GPU-Accelerated Machine Learning in Non-Orthogonal Multiple Access

Daniel Schäufele, Guillermo Marcus, Nikolaus Binder, Matthias Mehlhose, Alex Keller, Slawomir Stańczak

Adaptive Neural Network-based OFDM Receivers

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

GPU-Accelerated Partially Linear Multiuser Detection for 5G and Beyond URLLC Systems

Matthias Mehlhose, Guillermo Marcus, Daniel Schäufele, Daniyal Amir Awan, Nikolaus Binder, Martin Kasparick, Renato L. G. Cavalcante, Sławomir Stanćzak , Alex Keller

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

Jakob Hoydis, Sebastian Cammerer, Fayçal Aït Aoudia , Avinash Vem, Nikolaus Binder, Guillermo Marcus, Alex Keller