Publications

All publications by the INUE staff.

  1. 2024

    1. J. Clausius, M. Geiselhart, D. Tandler, and S. ten Brink, “Graph Neural Network-based Joint Equalization and Decoding.” 2024.
  2. 2023

    1. T. Wild, A. Grudnitsky, S. Mandelli, M. Henninger, J. Guan, and F. Schaich, “6G Integrated Sensing and Communication: From Vision to Realization,” 2023 [Online]. Available: https://arxiv.org/abs/2305.01978
    2. M. Geiselhart, F. Krieg, J. Clausius, D. Tandler, and S. ten Brink, “6G: A Welcome Chance to Unify Channel Coding?,” IEEE BITS the Information Theory Magazine, pp. 1–12, 2023.
    3. P. Stephan, F. Euchner, and S. ten Brink, “Angle-Delay Profile-Based and Timestamp-Aided Dissimilarity Metrics for Channel Charting,” 2023.
    4. F. Euchner, P. Stephan, and S. ten Brink, “Augmenting Channel Charting with Classical Wireless Source Localization Techniques,” 2023.
    5. C. Kestel, M. Geiselhart, L. Johannsen, S. ten Brink, and N. Wehn, “Automorphism Ensemble Polar Code Decoders for 6G URLLC,” 2023.
    6. E. Fuchs, T. Handte, D. Verenzuela, and D. Ciochina-Kar, “Communication Devices and Methods,” WO202306672527-Apr-2023 [Online]. Available: https://patentscope.wipo.int/search/docs2/pct/WO2023066725/pdf/Bpd0SUatDz2aubGiNAUT_8b1IGB7UikRZ25qBkwcgfc
    7. E. Fuchs, T. Handte, D. Verenzuela, and D. Ciochina-Kar, “Communication Devices and Methods for Bidirectional Transmit Opportunities,” WO2023066726Apr-2023 [Online]. Available: https://patentscope.wipo.int/search/docs2/pct/WO2023066726/pdf/bqVzd6IBze_7VzoRK10XXkL423t7qMXokOKNLVcrKis
    8. J. Clausius, M. Geiselhart, and S. ten Brink, “Component Training of Turbo Autoencoders.” 2023 [Online]. Available: https://arxiv.org/abs/2305.09216
    9. M. Henninger, S. Mandelli, A. Grudnitsky, T. Wild, and S. ten Brink, “CRAP: Clutter Removal with Acquisitions Under Phase Noise,” 2023 [Online]. Available: https://arxiv.org/abs/2306.00598
    10. D. Tandler, S. Dörner, M. Gauger, and S. ten Brink, “Deep Reinforcement Learning for mmWave Initial Beam Alignment,” in WSA & SCC 2023; 26th International ITG Workshop on Smart Antennas and 13th Conference on Systems, Communications, and Coding, 2023, pp. 1–6 [Online]. Available: https://ieeexplore.ieee.org/document/10104547
    11. A. Zunker, M. Geiselhart, and S. ten Brink, “Enumeration of Minimum Weight Codewords of Pre-Transformed Polar Codes by Tree Intersection.” 2023 [Online]. Available: https://arxiv.org/abs/2311.17774
    12. F. Euchner, T. Schneider, M. Gauger, and S. ten Brink, “ESPARGOS: An Ultra Low-Cost, Realtime-Capable Multi-Antenna WiFi Channel Sounder,” 2023.
    13. S. Dörner, J. Clausius, S. Cammerer, and S. ten Brink, “Learning Joint Detection, Equalization and Decoding for Short-Packet Communications,” IEEE Transactions on Communications, vol. 71, no. 2, pp. 837–850, 2023 [Online]. Available: https://ieeexplore.ieee.org/document/9982554
    14. J. Hoydis et al., “Learning Radio Environments by Differentiable Ray Tracing,” 2023.
    15. J. Clausius, M. Geiselhart, and S. ten Brink, “Optimizing Serially Concatenated Neural Codes with Classical Decoders.” 2023 [Online]. Available: https://arxiv.org/abs/2212.10355
    16. M. Henninger, S. Sengupta, S. Mandelli, and S. ten Brink, “Performance Evaluation of Array Calibration for Angle-of-Arrival-Based 5G Positioning,” in WSA & SCC 2023; 26th International ITG Workshop on Smart Antennas and 13th Conference on Systems, Communications, and Coding, 2023, pp. 1–6.
    17. M. Geiselhart, M. Gauger, F. Krieg, J. Clausius, and S. ten Brink, “Phase-Equivariant Polar Coded Modulation,” 2023 [Online]. Available: https://arxiv.org/abs/2305.01972
    18. M. Geiselhart, J. Clausius, and S. ten Brink, “Rate-Compatible Polar Codes for Automorphism Ensemble Decoding,” in 2023 12th International Symposium on Topics in Coding (ISTC), 2023, pp. 1–5.
    19. A. Zunker et al., “Row-Merged Polar Codes: Analysis, Design and Decoder Implementation.” 2023 [Online]. Available: https://arxiv.org/abs/2312.14749
    20. L. Johannsen, C. Kestel, M. Geiselhart, T. Vogt, S. ten Brink, and N. Wehn, “Successive Cancellation Automorphism List Decoding of Polar Codes,” in 2023 12th International Symposium on Topics in Coding (ISTC), 2023, pp. 1–5.
    21. S. Mandelli, M. Henninger, M. Bauhofer, and T. Wild, “Survey on Integrated Sensing and Communication Performance Modeling and Use Cases Feasibility,” 2023 [Online]. Available: https://arxiv.org/abs/2305.07144
    22. E. Fuchs, T. Handte, D. Verenzuela, and D. Ciochina-Kar, “WO2023066725 - Communication Devices and Methods,” 27-Apr-2023 [Online]. Available: https://patentscope.wipo.int/search/docs2/pct/WO2023066725/pdf/Bpd0SUatDz2aubGiNAUT_8b1IGB7UikRZ25qBkwcgfc
    23. E. Fuchs, T. Handte, D. Verenzuela, and D. Ciochina-Kar, “WO2023066726 - Communication Devices and Methods for Bidirectional Transmit Opportunities,” 27-Apr-2023 [Online]. Available: https://patentscope.wipo.int/search/en/detail.jsf?docId=WO2023066726
  3. 2022

    1. M. Henninger, S. Mandelli, M. Arnold, and S. Ten Brink, “A Computationally Efficient 2D MUSIC Approach for 5G and 6G Sensing Networks,” in 2022 IEEE Wireless Communications and Networking Conference (WCNC), 2022, pp. 210–215.
    2. M. Geiselhart, A. Elkelesh, J. Clausius, and S. ten Brink, “A Polar Subcode Approach to Belief Propagation List Decoding,” in 2022 IEEE Information Theory Workshop (ITW), 2022, pp. 243–248.
    3. M. B. Fischer, S. Dörner, S. Cammerer, T. Shimizu, H. Lu, and S. ten Brink, “Adaptive Neural Network-based OFDM Receivers,” in 2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication (SPAWC), Oulu, Finland, 2022 [Online]. Available: https://ieeexplore.ieee.org/document/9833970
    4. M. B. Fischer, S. Dörner, F. Krieg, S. Cammerer, and S. ten Brink, “Adaptive NN-based OFDM Receivers : Computational Complexity vs. Achievable Performance,” in Conference record of the Fifty-Sixth Asilomar Conference on Signals, Systems & Computers, Online, 2022, pp. 194–199 [Online]. Available: https://ieeexplore.ieee.org/document/10051898
    5. M. Geiselhart, M. Ebada, A. Elkelesh, J. Clausius, and S. ten Brink, “Automorphism Ensemble Decoding of Quasi-Cyclic LDPC Codes by Breaking Graph Symmetries.” 2022 [Online]. Available: http://arxiv.org/abs/2202.00287
    6. F. Euchner, P. Stephan, M. Gauger, and S. ten Brink, “Channel Sounder with Over-the-Air Antenna Synchronization: Absolute Phase and Timing Calibration Using Known Transmitter Locations,” European Conference on Networks and Communications, 2022.
    7. F. Euchner, N. Süppel, M. Gauger, S. Dörner, and S. ten Brink, “Deep Learning for Uplink CSI-based Downlink Precoding in FDD massive MIMO Evaluated on Indoor Measurements,” 2022 [Online]. Available: https://arxiv.org/abs/2209.10977
    8. J. Ney et al., “FPGA-Based Trainable Autoencoder for Communication Systems,” in Proceedings of the 2022 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, Virtual Event, USA, 2022, p. 154 [Online]. Available: https://dl.acm.org/doi/abs/10.1145/3490422.3502337
    9. F. Euchner, P. Stephan, M. Gauger, and S. ten Brink, “Geometry-Based Phase and Time Synchronization for Multi-Antenna Channel Measurements,” 2022.
    10. M. Geiselhart, A. Zunker, A. Elkelesh, J. Clausius, and S. ten Brink, “Graph Search based Polar Code Design,” in 2022 56th Asilomar Conference on Signals, Systems, and Computers, 2022, pp. 387–391.
    11. F. Euchner, P. Stephan, M. Gauger, S. Dörner, and S. ten Brink, “Improving Triplet-Based Channel Charting on Distributed Massive MIMO Measurements,” 2022.
    12. T. Uhlemann, A. Span, S. Dörner, and S. ten Brink, “Introducing γ-lifting for Learning Nonlinear Pulse Shaping in Coherent Optical Communication,” in Photonic Networks; 23th ITG-Symposium, 2022, pp. 1–8 [Online]. Available: https://ieeexplore.ieee.org/document/9861851
    13. S. Dörner, J. Clausius, S. Cammerer, and S. Ten Brink, “Learning Joint Detection, Equalization and Decoding for Short-Packet Communications,” IEEE Transactions on Communications, pp. 1–1, 2022 [Online]. Available: https://ieeexplore.ieee.org/document/9982554
    14. M. Geiselhart et al., “Learning Quantization in LDPC Decoders,” in 2022 IEEE Globecom Workshops (GC Wkshps), 2022, pp. 467–472.
    15. E. Fuchs, T. Handte, and S. ten Brink, “Low-Complexity Self-Interference Cancellation for Frequency Division Duplex in Adjacent Channels,” in 2022 IEEE 33rd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 2022, pp. 1349--1354.
    16. J. Clausius, S. Dörner, S. Cammerer, and S. T. Brink, “On End-to-End Learning of Joint Detection and Decoding for Short-Packet Communications,” in 2022 IEEE Globecom Workshops (GC Wkshps), 2022, pp. 377–382.
    17. J. Clausius, M. Geiselhart, and S. ten Brink, “Optimizing Serially Concatenated Neural Codes with Classical Decoders.” 2022.
    18. M. Henninger et al., “Probabilistic 5G Indoor Positioning Proof of Concept with Outlier Rejection,” in 2022 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit), 2022, pp. 249–254.
    19. S. Mandelli, M. Henninger, and J. Du, “Sampling and Reconstructing Angular Domains with Uniform Arrays,” IEEE Transactions on Wireless Communications, 2022.
  4. 2021

    1. F. Euchner, M. Gauger, S. Dörner, and S. ten Brink, “A Distributed Massive MIMO Channel Sounder for ‘Big CSI Data’-driven Machine Learning,” in 25th International ITG Workshop on Smart Antennas (WSA 2021), Sophia Antipolis, France, 2021.
    2. P. Neuhaus, M. Henninger, A. Frotzscher, and U. Wetzker, “Autoencoder-Based Characterisation of Passive IEEE 802.11 Link Level Measurements,” in 2021 Joint European Conference on Networks and Communications  6G Summit (EuCNC/6G Summit), 2021, pp. 294–299 [Online]. Available: https://ieeexplore.ieee.org/document/9482429
    3. M. Geiselhart, A. Elkelesh, M. Ebada, S. Cammerer, and S. Ten Brink, “Automorphism Ensemble Decoding of Reed—Muller Codes,” IEEE Transactions on Communications, pp. 1–1, 2021.
    4. S. Dörner, S. Rottacker, M. Gauger, and S. ten Brink, “Bit-wise Autoencoder for Multiple Antenna Systems,” in 2021 17th International Symposium on Wireless Communication Systems (ISWCS), 2021, pp. 1–5 [Online]. Available: https://ieeexplore.ieee.org/document/9562222
    5. C. Senger, “CRC error detection for CAN XL,” in 17th international CAN Conference (iCC), Baden-Baden, Germany, 2021.
    6. S. Miao and C. Senger, “Dual-containing Alternant Codes for Applications in the Calderbank-Shor-Steane Construction,” in 2018 IEEE International Symposium on Information Theory (ISIT), Melbourne, Australia, 2021, pp. 6–10.
    7. M. Geiselhart, A. Elkelesh, M. Ebada, S. Cammerer, and S. ten Brink, “Iterative Reed-Muller Decoding,” 2021 [Online]. Available: http://arxiv.org/abs/2107.12613
    8. M. Arnold et al., “MaxRay: A Raytracing-based Integrated Sensing and Communication Framework,” 2021 [Online]. Available: http://arxiv.org/abs/2112.01751
    9. M. Geiselhart, A. Elkelesh, M. Ebada, S. Cammerer, and S. ten Brink, “On the Automorphism Group of Polar Codes,” 2021 [Online]. Available: http://arxiv.org/abs/2101.09679
    10. F. Euchner and C. Senger, “PERIDOT Codes: Replacing Identifiers, Sequence Numbers and Nonces with Permutations,” in 30th Biennial Symposium on Communications (BSC 2021), Saskatoon, SK, Canada, 2021.
    11. J. Clausius, S. Dörner, S. Cammerer, and S. ten Brink, “Serial vs. Parallel Turbo-Autoencoders and Accelerated Training for  Learned Channel Codes.” 2021 [Online]. Available: http://arxiv.org/abs/2104.14234
    12. M. B. Fischer et al., “Wiener Filter versus Recurrent Neural Network-based 2D-Channel Estimation for V2X Communications,” in 2021 IEEE Intelligent Vehicles Symposium (IV), 2021, pp. 458–465 [Online]. Available: https://ieeexplore.ieee.org/document/9575620
  5. 2020

    1. M. Geiselhart, A. Elkelesh, M. Ebada, S. Cammerer, and S. ten Brink, “Automorphism Ensemble Decoding of Reed-Muller Codes,” 2020 [Online]. Available: http://arxiv.org/abs/2012.07635
    2. C. Senger, “CRC error detection for CAN XL,” in 17th international CAN Conference (iCC), Baden-Baden, Germany, 2020.
    3. M. Geiselhart, A. Elkelesh, M. Ebada, S. Cammerer, and S. ten Brink, “CRC-Aided Belief Propagation List Decoding of Polar Codes,” in 2020 IEEE International Symposium on Information Theory (ISIT), 2020, pp. 395–400 [Online]. Available: https://ieeexplore.ieee.org/document/9174249
    4. T. Uhlemann, S. Cammerer, A. Span, S. Dörner, and S. ten Brink, “Deep-learning Autoencoder for Coherent and Nonlinear Optical Communication,” in Photonic Networks 21th ITG-Symposium, 2020, pp. 1–8 [Online]. Available: https://ieeexplore.ieee.org/document/9273758
    5. T. Uhlemann, S. Cammerer, A. Span, S. Doerner, and S. ten Brink, “Deep-learning Autoencoder for Coherent and Nonlinear Optical Communication,” in Photonic Networks; 21th ITG-Symposium, 2020, pp. 1–8.
    6. M. Gauger, M. Arnold, and ten B. Stephan, “Drone-Based Spatial MIMO Measurements in Three Dimensions,” 2020.
    7. F. A. Aoudia, S. Cammerer, S. Dörner, M. Stark, J. Hoydis, and S. ten Brink, “Extended Abstract: Deep Learning of the Physical Layer for BICM Systems,” in 2020 IEEE Workshop on Signal Processing Systems (SiPS), 2020, pp. 1–1 [Online]. Available: https://ieeexplore.ieee.org/document/9195252
    8. M. Ebada, S. Cammerer, A. Elkelesh, M. Geiselhart, and S. ten Brink, “Iterative Detection and Decoding of Finite-Length Polar Codes in Gaussian Multiple Access Channels,” in 2020 54th Asilomar Conference on Signals, Systems, and Computers, 2020, pp. 683–688 [Online]. Available: https://ieeexplore.ieee.org/document/9443374
    9. M. Gauger, M. Arnold, and S. ten Brink, “Massive MIMO Channel Measurements and Achievable Rates in a Residential  Area.” 2020 [Online]. Available: http://arxiv.org/abs/2002.09452
    10. D. Verenzuela, E. Björnson, X. Wang, M. Arnold, and S. ten Brink, “Massive-MIMO Iterative Channel Estimation and Decoding (MICED) in the Uplink,” IEEE Transactions on Communications, vol. 68, no. 2, pp. 854–870, Feb. 2020 [Online]. Available: https://ieeexplore.ieee.org/document/8873655
    11. S. Cammerer, F. A. Aoudia, S. Dörner, M. Stark, J. Hoydis, and S. ten Brink, “Trainable Communication Systems: Concepts and Prototype,” IEEE Transactions on Communications. 2020 [Online]. Available: https://ieeexplore.ieee.org/document/9118963
    12. S. Dörner, M. Henninger, S. Cammerer, and S. ten Brink, “WGAN-based Autoencoder Training Over-the-air.” 2020 [Online]. Available: https://arxiv.org/abs/2003.02744
  6. 2019

    1. A. Elkelesh, M. Ebada, S. Cammerer, L. Schmalen, and S. ten Brink, “Decoder-in-the-Loop: Genetic Optimization-Based LDPC Code Design,” IEEE Access, vol. 7, pp. 141161–141170, 2019 [Online]. Available: https://ieeexplore.ieee.org/document/8846017
    2. A. Elkelesh, M. Ebada, S. Cammerer, and S. t. Brink, “Decoder-Tailored Polar Code Design Using the Genetic Algorithm,” IEEE Transactions on Communications, vol. 67, no. 7, pp. 4521–4534, Jul. 2019 [Online]. Available: https://ieeexplore.ieee.org/document/8680016
    3. M. Ebada, S. Cammerer, A. Elkelesh, and S. ten Brink, “Deep Learning-Based Polar Code Design,” in 2019 57th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2019, pp. 177–183 [Online]. Available: https://ieeexplore.ieee.org/document/8919804
    4. M. Arnold, S. Dörner, S. Cammerer, S. Yan, J. Hoydis, and S. ten Brink, “Enabling FDD Massive MIMO through Deep Learning-based Channel Prediction.” 2019 [Online]. Available: https://arxiv.org/abs/1901.03664
    5. A. Elkelesh, M. Ebada, S. Cammerer, and S. t. Brink, “Genetic Algorithm-based Polar Code Construction for the AWGN Channel,” in SCC 2019; 12th International ITG Conference on Systems, Communications and Coding, 2019, pp. 1–6 [Online]. Available: https://ieeexplore.ieee.org/document/8661304
    6. C. Senger, “Improved Iterative Decoding of Product Codes Based on Trusted Symbols,” in 2019 IEEE International Symposium on Information Theory (ISIT), 2019, pp. 1342–1346 [Online]. Available: https://ieeexplore.ieee.org/document/8849469
    7. X. Wang, S. Cammerer, and S. Ten Brink, “Near-Capacity Detection and Decoding: Code Design for Dynamic User Loads in Gaussian Multiple Access Channels,” IEEE Transactions on Communications, vol. 67, no. 11, pp. 7417–7430, Nov. 2019 [Online]. Available: https://ieeexplore.ieee.org/document/8804231
    8. M. Arnold, J. Hoydis, and S. t. Brink, “Novel Massive MIMO Channel Sounding Data applied to Deep Learning-based Indoor Positioning,” in SCC 2019; 12th International ITG Conference on Systems, Communications and Coding, 2019, pp. 1–6 [Online]. Available: https://ieeexplore.ieee.org/document/8661318
    9. C. Senger, “On List Decoding of Generalized Reed-Solomon Codes Under Partial Codeword Knowledge,” in SCC 2019; 12th International ITG Conference on Systems, Communications and Coding, 2019, pp. 1–5 [Online]. Available: https://ieeexplore.ieee.org/document/8661300
    10. D. Tandler, S. Dörner, S. Cammerer, and S. ten Brink, “On Recurrent Neural Networks for Sequence-based Processing in Communications,” in 2019 53rd Asilomar Conference on Signals, Systems, and Computers, 2019, pp. 537–543 [Online]. Available: https://ieeexplore.ieee.org/document/9048728
    11. M. Arnold and S. t. Brink, “Properties of Measured Massive MIMO Channels using Different Antenna Geometries,” in WSA 2019; 23rd International ITG Workshop on Smart Antennas, 2019, pp. 1–5 [Online]. Available: https://ieeexplore.ieee.org/document/8727203
    12. S. Cammerer, X. Wang, Y. Ma, and S. t. Brink, “Spatially Coupled LDPC Codes and the Multiple Access Channel,” in 2019 53rd Annual Conference on Information Sciences and Systems (CISS), 2019, pp. 1–6 [Online]. Available: https://ieeexplore.ieee.org/document/8692899
    13. X. Wang, M. Arnold, and S. t. Brink, “TDD and FDD Massive MIMO: Channel Coherence and Operation Region,” in WSA 2019; 23rd International ITG Workshop on Smart Antennas, 2019, pp. 1–5 [Online]. Available: https://ieeexplore.ieee.org/document/8727218
    14. M. Arnold, S. Dörner, S. Cammerer, J. Hoydis, and S. ten Brink, “Towards Practical FDD Massive MIMO: CSI Extrapolation Driven by Deep Learning and Actual Channel Measurements,” in 2019 53rd Asilomar Conference on Signals, Systems, and Computers, 2019, pp. 1972–1976 [Online]. Available: https://ieeexplore.ieee.org/document/9048863
    15. M. Widmaier, M. Arnold, S. Dorner, S. Cammerer, and S. ten Brink, “Towards Practical Indoor Positioning Based on Massive MIMO Systems,” in 2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall), 2019, pp. 1–6 [Online]. Available: https://ieeexplore.ieee.org/document/8891273
    16. S. Cammerer, F. A. Aoudia, S. Dörner, M. Stark, J. Hoydis, and S. ten Brink, “Trainable Communication Systems: Concepts and Prototype,” IEEE Transactions on Communications. 2019 [Online]. Available: https://ieeexplore.ieee.org/document/9118963
  7. 2018

    1. C. Senger and R. Bohara, “A Linear Algebraic Approach to Subfield Subcodes of GRS Codes,” in 2018 IEEE International Symposium on Information Theory (ISIT), 2018, pp. 6–10 [Online]. Available: https://ieeexplore.ieee.org/document/8437645
    2. M. Arnold, J. Pfeiffer, and S. t. Brink, “Area Rate Evaluation based on Spatial Clustering of massive MIMO Channel Measurements,” in WSA 2018; 22nd International ITG Workshop on Smart Antennas, 2018, pp. 1–6 [Online]. Available: https://ieeexplore.ieee.org/document/8385445
    3. K. Klaiber, S. Cammerer, L. Schmalen, and S. t. Brink, “Avoiding Burst-like Error Patterns in Windowed Decoding of Spatially Coupled LDPC Codes,” in 2018 IEEE 10th International Symposium on Turbo Codes  Iterative Information Processing (ISTC), 2018, pp. 1–5 [Online]. Available: https://ieeexplore.ieee.org/document/8625312
    4. A. Elkelesh, M. Ebada, S. Cammerer, and S. ten Brink, “Belief propagation decoding of polar codes on permuted factor graphs,” in 2018 IEEE Wireless Communications and Networking Conference (WCNC), 2018, pp. 1–6 [Online]. Available: https://ieeexplore.ieee.org/document/8377158
    5. A. Elkelesh, M. Ebada, S. Cammerer, and S. ten Brink, “Belief Propagation List Decoding of Polar Codes,” IEEE Communications Letters, vol. 22, no. 8, pp. 1536–1539, Aug. 2018 [Online]. Available: https://ieeexplore.ieee.org/document/8396299
    6. S. Dörner, S. Cammerer, J. Hoydis, and S. ten Brink, “Deep Learning Based Communication Over the Air,” IEEE Journal of Selected Topics in Signal Processing, vol. 12, no. 1, pp. 132–143, Feb. 2018 [Online]. Available: https://ieeexplore.ieee.org/document/8214233
    7. S. Dörner, S. Cammerer, J. Hoydis, and S. t. Brink, “Deep Learning Based Communication Over the Air,” IEEE Journal of Selected Topics in Signal Processing, vol. 12, no. 1, pp. 132–143, Feb. 2018 [Online]. Available: https://ieeexplore.ieee.org/document/8214233
    8. S. Cammerer, S. Dörner, J. Hoydis, and S. ten Brink, “End-to-end Learning for Physical Layer Communications,” in International Zurich Seminar on Information and Communication (IZS 2018), 2018, pp. 51–52 [Online]. Available: https://doi.org/10.3929/ethz-b-000245055
    9. X. Wang, S. Cammerer, and S. t. Brink, “Near Gaussian Multiple Access Channel Capacity Detection and Decoding,” in 2018 IEEE 10th International Symposium on Turbo Codes  Iterative Information Processing (ISTC), 2018, pp. 1–5 [Online]. Available: https://ieeexplore.ieee.org/document/8625311
    10. A. Felix, S. Cammerer, S. Dörner, J. Hoydis, and S. ten Brink, “OFDM-Autoencoder for End-to-End Learning of Communications Systems,” in 2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2018, pp. 1–5 [Online]. Available: https://ieeexplore.ieee.org/document/8445920
    11. A. Felix, S. Cammerer, S. Dörner, J. Hoydis, and S. Ten Brink, “OFDM-Autoencoder for End-to-End Learning of Communications Systems,” in 2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2018, pp. 1–5 [Online]. Available: https://ieeexplore.ieee.org/document/8445920
    12. M. Arnold, S. Dorner, S. Cammerer, and S. Ten Brink, “On Deep Learning-Based Massive MIMO Indoor User Localization,” in 2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2018, pp. 1–5 [Online]. Available: https://ieeexplore.ieee.org/document/8446013
    13. M. Arnold, S. Dörner, S. Cammerer, and S. ten Brink, “On Deep Learning-Based Massive MIMO Indoor User Localization,” in 2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2018, pp. 1–5 [Online]. Available: https://ieeexplore.ieee.org/document/8446013
    14. S. Schibisch, S. Cammerer, S. Dörner, J. Hoydis, and S. ten Brink, “Online Label Recovery for Deep Learning-based Communication through Error Correcting Codes,” in 2018 15th International Symposium on Wireless Communication Systems (ISWCS), 2018, pp. 1–5 [Online]. Available: https://ieeexplore.ieee.org/document/8491189
    15. S. Schibisch, S. Cammerer, S. Dörner, J. Hoydis, and S. ten Brink, “Online Label Recovery for Deep Learning-based Communication through Error Correcting Codes,” in 2018 15th International Symposium on Wireless Communication Systems (ISWCS), 2018, pp. 1–5 [Online]. Available: https://ieeexplore.ieee.org/document/8491189
    16. M. Ebada, A. Elkelesh, S. Cammerer, and S. ten Brink, “Scattered EXIT Charts for Finite Length LDPC Code Design,” in 2018 IEEE International Conference on Communications (ICC), 2018, pp. 1–7 [Online]. Available: https://ieeexplore.ieee.org/document/8422961
    17. S. Cammerer, M. Ebada, A. Elkelesh, and S. ten Brink, “Sparse Graphs for Belief Propagation Decoding of Polar Codes,” in 2018 IEEE International Symposium on Information Theory (ISIT), 2018, pp. 1465–1469 [Online]. Available: https://ieeexplore.ieee.org/document/8437581

Contact

This image shows Stephan ten Brink

Stephan ten Brink

Prof. Dr.-Ing.

Director

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Christian Senger

Dr.-Ing.

Deputy Director

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