| 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 | 890 | 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 | 616 | 2017 |
| 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 | 298 | 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 | 251 | 2017 |
| Trainable communication systems: Concepts and prototype S Cammerer, FA Aoudia, S Dörner, M Stark, J Hoydis, S Ten Brink IEEE Transactions on Communications 68 (9), 5489-5503, 2020 | 168 | 2020 |
| Belief propagation list decoding of polar codes A Elkelesh, M Ebada, S Cammerer, S Ten Brink IEEE Communications Letters 22 (8), 1536-1539, 2018 | 158 | 2018 |
| 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 | 149 | 2022 |
| 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 | 114 | 2019 |
| 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 | 79 | 2018 |
| 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 | 71 | 2021 |
| 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 | 60 | 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 | 59 | 2018 |
| 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 | 57 | 2019 |
| 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 | 53 | 2020 |
| 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 | 44 | 2021 |
| Sionna RT: Differentiable ray tracing for radio propagation modeling J Hoydis, FA Aoudia, S Cammerer, M Nimier-David, N Binder, G Marcus, ... 2023 IEEE Globecom Workshops (GC Wkshps), 317-321, 2023 | 43 | 2023 |
| 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 | 35 | 2019 |
| Online label recovery for deep learning-based communication through error correcting codes S Schibisch, S Cammerer, S Dörner, J Hoydis, S ten Brink 2018 15th International Symposium on Wireless Communication Systems (ISWCS), 1-5, 2018 | 33 | 2018 |
| Combining belief propagation and successive cancellation list decoding of polar codes on a GPU platform S Cammerer, B Leible, M Stahl, J Hoydis, S ten Brink 2017 IEEE international conference on acoustics, speech and signal …, 2017 | 32 | 2017 |
| Decoder-in-the-loop: Genetic optimization-based LDPC code design A Elkelesh, M Ebada, S Cammerer, L Schmalen, S Ten Brink IEEE access 7, 141161-141170, 2019 | 30 | 2019 |
