| 2025 | INFOCOM | Toward Digital Network Twins: Integrating Sionna RT in ns-3 for 6G Multi-Rat Networks Simulations. | Roberto Pegurri, Francesco Linsalata, Eugenio Moro, Jakob Hoydis, Umberto Spagnolini |
| 2025 | WCNC | Towards Digital Network Twins: Full-Stack and Multi-Stack Solution for 6G Simulations. | Roberto Pegurri, Eugenio Moro, Francesco Linsalata, Jakob Hoydis, Umberto Spagnolini |
| 2023 | GLOBECOM | A Neural Receiver for 5G NR Multi-User MIMO. | Sebastian Cammerer, Fayal At Aoudia, Jakob Hoydis, Andreas Oeldemann, Andreas Roessler, Timo Mayer, Alexander Keller |
| 2023 | GLOBECOM | Sionna RT: Differentiable Ray Tracing for Radio Propagation Modeling. | Jakob Hoydis, Fayal Ait Aoudia, Sebastian Cammerer, Merlin Nimier-David, Nikolaus Binder, Guillermo Marcus, Alexander Keller |
| 2022 | ACSSC | DUIDD: Deep-Unfolded Interleaved Detection and Decoding for MIMO Wireless Systems. | Reinhard Wiesmayr, Chris Dick, Jakob Hoydis, Christoph Studer |
| 2022 | GLOBECOM | Deep Learning-Based Synchronization for Uplink NB-IoT. | Fayal At Aoudia, Jakob Hoydis, Sebastian Cammerer, Matthijs Van Keirsbilck, Alexander Keller |
| 2022 | GLOBECOM | Graph Neural Networks for Channel Decoding. | Sebastian Cammerer, Jakob Hoydis, Fayal At Aoudia, Alexander Keller |
| 2021 | GLOBECOM | End-to-end Waveform Learning Through Joint Optimization of Pulse and Constellation Shaping. | Fayal Ait Aoudia, Jakob Hoydis |
| 2021 | GLOBECOM | End-to-End Learning of OFDM Waveforms with PAPR and ACLR Constraints. | Mathieu Goutay, Fayal Ait Aoudia, Jakob Hoydis, Jean-Marie Gorce |
| 2021 | GLOBECOM | The Emergence of Wireless MAC Protocols with Multi-Agent Reinforcement Learning. | Mateus Pontes Mota, Alvaro Valcarce, Jean-Marie Gorce, Jakob Hoydis |
| 2021 | GLOBECOM | SubSRNN: Tailored Neural Network for Channel Estimation with Robustness against Diversities. | Wenliang Qi, Jiaqi Quan, Jakob Hoydis, Chenhui Ye |
| 2020 | GLOBECOM | Joint Learning of Probabilistic and Geometric Shaping for Coded Modulation Systems. | Fayal Ait Aoudia, Jakob Hoydis |
| 2020 | ICASSP | Exploiting Channel Locality for Adaptive Massive MIMO Signal Detection. | Mehrdad Khani Shirkoohi, Mohammad Alizadeh, Jakob Hoydis, Phil Fleming |
| 2019 | ACSSC | Towards Practical FDD Massive MIMO: CSI Extrapolation Driven by Deep Learning and Actual Channel Measurements. | Maximilian Arnold, Sebastian Drner, Sebastian Cammerer, Jakob Hoydis, Stephan ten Brink |
| 2019 | GLOBECOM | "Machine LLRning": Learning to Softly Demodulate. | Ori Shental, Jakob Hoydis |
| 2019 | GLOBECOM | Joint Learning of Geometric and Probabilistic Constellation Shaping. | Maximilian Stark, Fayal Ait Aoudia, Jakob Hoydis |
| 2019 | WiOpt | Deep Reinforcement Learning Autoencoder with Noisy Feedback. | Mathieu Goutay, Fayal Ait Aoudia, Jakob Hoydis |
| 2018 | ACSSC | End-to-End Learning of Communications Systems Without a Channel Model. | Fayal Ait Aoudia, Jakob Hoydis |
| 2018 | GLOBECOM | Fundamental Asymptotic Behavior of (Two-User) Distributed Massive MIMO. | Luca Sanguinetti, Emil Bjrnson, Jakob Hoydis |
| 2017 | ACSSC | On deep learning-based communication over the air. | Sebastian Drner, Sebastian Cammerer, Jakob Hoydis, Stephan ten Brink |
| 2017 | CISS | On deep learning-based channel decoding. | Tobias Gruber, Sebastian Cammerer, Jakob Hoydis, Stephan ten Brink |
| 2017 | GLOBECOM | Scaling Deep Learning-Based Decoding of Polar Codes via Partitioning. | Sebastian Cammerer, Tobias Gruber, Jakob Hoydis, Stephan ten Brink |
| 2017 | ICASSP | Combining belief propagation and successive cancellation list decoding of polar codes on a GPU platform. | Sebastian Cammerer, Benedikt Leible, Matthias Stahl, Jakob Hoydis, Stephan ten Brink |
| 2014 | WCNC | Designing multi-user MIMO for energy efficiency: When is massive MIMO the answer? | Emil Bjrnson, Luca Sanguinetti, Jakob Hoydis, Mrouane Debbah |
| 2013 | ISIT | Bounds on the second-order coding rate of the MIMO Rayleigh block-fading channel. | Jakob Hoydis, Romain Couillet, Pablo Piantanida |
| 2013 | ISIT | Sharpened capacity lower bounds of fading MIMO channels with imperfect CSI. | Adriano Pastore, Jakob Hoydis, Javier Rodrguez Fonollosa |
| 2012 | GLOBECOM | Optimal 3D cell planning: A random matrix approach. | Axel Mller, Jakob Hoydis, Romain Couillet, Mrouane Debbah |
| 2012 | ISIT | A random matrix approach to the finite blocklength regime of MIMO fading channels. | Jakob Hoydis, Romain Couillet, Pablo Piantanida, Mrouane Debbah |
| 2012 | WiOpt | Analysis of multicell cooperation with random user locations via deterministic equivalents. | Jakob Hoydis, Axel Mller, Romain Couillet, Mrouane Debbah |
| 2011 | ACSSC | Session WA1a: Channel estimation for multi-antenna systems. | Jakob Hoydis |
| 2011 | ACSSC | Asymptotic analysis of double-scattering channels. | Jakob Hoydis, Romain Couillet, Mrouane Debbah |
| 2011 | ICASSP | On optimal channel training for uplink network MIMO systems. | Jakob Hoydis, Mari Kobayashi, Mrouane Debbah |
| 2011 | ISIT | Asymptotic moments for interference mitigation in correlated fading channels. | Jakob Hoydis, Mrouane Debbah, Mari Kobayashi |
| 2010 | PIMRC | Asymptotic analysis of distributed multi-cell beamforming. | Subhash Lakshminarayana, Jakob Hoydis, Mrouane Debbah, Mohamad Assaad |
| 2008 | PIMRC | Effects of topology on local throughput-capacity of ad hoc networks. | Jakob Hoydis, Marina Petrova, Petri Mhnen |
| 2007 | MASS | Evaluation of VoIP Performance in Downlink Cellular Networks With Multihop Relaying. | Nikolaj Marchenko, Jakob Hoydis, Aik Chindapol, Rainer Schoenen |