| Deep learning based communication over the air S Dörner, S Cammerer, J Hoydis, S Ten Brink IEEE Journal of Selected Topics in Signal Processing 12 (1), 132-143, 2017 | 1246 | 2017 |
| On deep learning-based channel decoding T Gruber, S Cammerer, J Hoydis, S Ten Brink 2017 51st annual conference on information sciences and systems (CISS), 1-6, 2017 | 703 | 2017 |
| Sionna: An open-source library for next-generation physical layer research J Hoydis, S Cammerer, FA Aoudia, A Vem, N Binder, G Marcus, A Keller arXiv preprint arXiv:2203.11854, 2022 | 415 | 2022 |
| OFDM-autoencoder for end-to-end learning of communications systems A Felix, S Cammerer, S Dörner, J Hoydis, S Ten Brink 2018 IEEE 19th International Workshop on Signal Processing Advances in …, 2018 | 363 | 2018 |
| Scaling deep learning-based decoding of polar codes via partitioning S Cammerer, T Gruber, J Hoydis, S Ten Brink GLOBECOM 2017-2017 IEEE global communications conference, 1-6, 2017 | 282 | 2017 |
| Trainable communication systems: Concepts and prototype S Cammerer, F Ait Aoudia, S Dörner, M Stark, J Hoydis, S Ten Brink IEEE Transactions on Communications 68 (9), 5489-5503, 2020 | 223 | 2020 |
| Sionna RT: Differentiable ray tracing for radio propagation modeling J Hoydis, F Aït Aoudia, S Cammerer, M Nimier-David, N Binder, G Marcus, ... 2023 IEEE Globecom Workshops (GC Wkshps), 317-321, 2023 | 215 | 2023 |
| Belief propagation list decoding of polar codes A Elkelesh, M Ebada, S Cammerer, S Ten Brink IEEE Communications Letters 22 (8), 1536-1539, 2018 | 185 | 2018 |
| Decoder-tailored polar code design using the genetic algorithm A Elkelesh, M Ebada, S Cammerer, S Ten Brink IEEE Transactions on Communications 67 (7), 4521-4534, 2019 | 130 | 2019 |
| Automorphism ensemble decoding of Reed–Muller codes M Geiselhart, A Elkelesh, M Ebada, S Cammerer, S ten Brink IEEE Transactions on Communications 69 (10), 6424-6438, 2021 | 104 | 2021 |
| Belief propagation decoding of polar codes on permuted factor graphs A Elkelesh, M Ebada, S Cammerer, S ten Brink 2018 IEEE Wireless Communications and Networking Conference (WCNC), 1-6, 2018 | 84 | 2018 |
| Sparse graphs for belief propagation decoding of polar codes S Cammerer, M Ebada, A Elkelesh, S ten Brink 2018 IEEE International Symposium on Information Theory (ISIT), 1465-1469, 2018 | 71 | 2018 |
| On deep learning-based massive MIMO indoor user localization M Arnold, S Dorner, S Cammerer, S Ten Brink 2018 IEEE 19th International Workshop on Signal Processing Advances in …, 2018 | 67 | 2018 |
| On the automorphism group of polar codes M Geiselhart, A Elkelesh, M Ebada, S Cammerer, S ten Brink 2021 IEEE International Symposium on Information Theory (ISIT), 1230-1235, 2021 | 65 | 2021 |
| Learning radio environments by differentiable ray tracing J Hoydis, F Aït Aoudia, S Cammerer, F Euchner, M Nimier-David, ... IEEE Transactions on Machine Learning in Communications and Networking, 2024 | 63 | 2024 |
| Graph neural networks for channel decoding S Cammerer, J Hoydis, F Aït Aoudia, A Keller 2022 IEEE Globecom Workshops (GC Wkshps), 486-491, 2022 | 61 | 2022 |
| CRC-aided belief propagation list decoding of polar codes M Geiselhart, A Elkelesh, M Ebada, S Cammerer, S ten Brink 2020 IEEE International Symposium on Information Theory (ISIT), 395-400, 2020 | 61 | 2020 |
| Enabling FDD massive MIMO through deep learning-based channel prediction M Arnold, S Dörner, S Cammerer, S Yan, J Hoydis, S Brink arXiv preprint arXiv:1901.03664, 2019 | 60 | 2019 |
| Deep learning-based polar code design M Ebada, S Cammerer, A Elkelesh, S ten Brink 2019 57th Annual Allerton Conference on Communication, Control, and …, 2019 | 49 | 2019 |
| A neural receiver for 5G NR multi-user MIMO S Cammerer, F Aït Aoudia, J Hoydis, A Oeldemann, A Roessler, T Mayer, ... 2023 IEEE Globecom Workshops (GC Wkshps), 329-334, 2023 | 47 | 2023 |
