Publications

All publications by the INUE staff.

  1. 2020

    1. C. Senger, “CRC error detection for CAN XL,” in 17th international CAN Conference (iCC), Baden-Baden, Germany, 2020.
    2. M. Geiselhart, A. Elkelesh, M. Ebada, S. Cammerer, and S. ten Brink, “CRC-Aided Belief Propagation List Decoding of Polar Codes,” 2020 [Online]. Available: https://arxiv.org/abs/2001.05303
    3. M. Gauger, M. Arnold, and ten B. Stephan, “Drone-Based Spatial MIMO Measurements in Three Dimensions,” 2020.
    4. 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
    5. 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, 2020 [Online]. Available: https://ieeexplore.ieee.org/document/8873655
    6. 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
  2. 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, 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: http://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. 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
    8. 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, 2019 [Online]. Available: https://ieeexplore.ieee.org/document/8804231
    9. 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
    10. 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
    11. 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
    12. 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
    13. 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
    14. 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
    15. 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.
    16. 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
    17. S. Cammerer, F. A. Aoudia, S. Dörner, M. Stark, J. Hoydis, and S. ten Brink, “Trainable Communication Systems: Concepts and Prototype.” 2019 [Online]. Available: https://arxiv.org/abs/1911.13055
  3. 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, 2018 [Online]. Available: https://ieeexplore.ieee.org/document/8396299
    6. 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, 2018 [Online]. Available: https://ieeexplore.ieee.org/document/8214233
    7. 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, 2018.
    8. 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
    9. 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.
    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. 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.
    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. 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
    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.
    15. 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
    16. 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
    17. M. Arnold, X. Wang, and S. T. Brink, “Subcarrier-interlaced FDD for faster-than-TDD channel tracking in massive MIMO systems,” in WSA 2018; 22nd International ITG Workshop on Smart Antennas, 2018, pp. 1–7 [Online]. Available: https://ieeexplore.ieee.org/document/8430496
    18. C. Senger and H. K. Shivakumar, “Subfield Subcodes of Tamo–Barg Locally Recoverable Codes,” in 2018 29th Biennial Symposium on Communications (BSC), 2018, pp. 1–5 [Online]. Available: https://ieeexplore.ieee.org/document/8494698
  4. 2017

    1. S. Cammerer, B. Leible, M. Stahl, J. Hoydis, and S. ten Brink, “Combining belief propagation and successive cancellation list decoding of polar codes on a GPU platform,” in 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017, pp. 3664–3668 [Online]. Available: https://ieeexplore.ieee.org/document/7952840
    2. M. Arnold, M. Gauger, and S. ten Brink, “Evaluating massive MIMO precoding based on 3D-channel measurements with a spider antenna,” in 2017 International Symposium on Wireless Communication Systems (ISWCS), 2017, pp. 134–139 [Online]. Available: https://ieeexplore.ieee.org/document/8108098
    3. A. Elkelesh, M. Ebada, S. Cammerer, and S. t. Brink, “Flexible Length Polar Codes through Graph Based Augmentation,” in SCC 2017; 11th International ITG Conference on Systems, Communications and Coding, 2017, pp. 1–6 [Online]. Available: https://ieeexplore.ieee.org/document/7938067
    4. A. Elkelesh, S. Cammerer, M. Ebada, and S. ten Brink, “Mitigating clipping effects on error floors under belief propagation decoding of polar codes,” in 2017 International Symposium on Wireless Communication Systems (ISWCS), 2017, pp. 384–389 [Online]. Available: https://ieeexplore.ieee.org/document/8108145
    5. T. Gruber, S. Cammerer, J. Hoydis, and S. t. Brink, “On deep learning-based channel decoding,” in 2017 51st Annual Conference on Information Sciences and Systems (CISS), 2017, pp. 1–6 [Online]. Available: https://ieeexplore.ieee.org/document/7926071
    6. S. Dorner, S. Cammerer, J. Hoydis, and S. ten Brink, “On deep learning-based communication over the air,” in 2017 51st Asilomar Conference on Signals, Systems, and Computers, 2017, pp. 1791–1795 [Online]. Available: https://ieeexplore.ieee.org/document/8335670
    7. S. Cammerer, T. Gruber, J. Hoydis, and S. ten Brink, “Scaling Deep Learning-Based Decoding of Polar Codes via Partitioning,” in GLOBECOM 2017 - 2017 IEEE Global Communications Conference, 2017, pp. 1–6 [Online]. Available: https://ieeexplore.ieee.org/document/8254811
  5. 2016

    1. A. Elkelesh, M. Ebada, S. Cammerer, and S. ten Brink, “Improving Belief Propagation decoding of polar codes using scattered EXIT charts,” in 2016 IEEE Information Theory Workshop (ITW), 2016, pp. 91–95 [Online]. Available: https://ieeexplore.ieee.org/document/7606802
    2. C. Senger and F. R. Kschischang, “Syndrome-based Decoding of Evaluation Codes without Chien Search,” in 28th Biennial Symposium on Communications (BSC 2016), Kelowna, BC, Canada, 2016.
    3. S. Cammerer, V. Aref, L. Schmalen, and S. ten Brink, “Triggering wave-like convergence of tail-biting spatially coupled LDPC codes,” in 2016 Annual Conference on Information Science and Systems (CISS), 2016, pp. 93–98 [Online]. Available: https://ieeexplore.ieee.org/document/7460483
    4. S. Cammerer, L. Schmalen, V. Aref, and S. ten Brink, “Wave-like decoding of tail-biting spatially coupled LDPC codes through iterative demapping,” in 2016 9th International Symposium on Turbo Codes and Iterative Information Processing (ISTC), 2016, pp. 121–125 [Online]. Available: https://ieeexplore.ieee.org/document/7593089
  6. 2014

    1. C. Senger, V. Sidorenko, and A. Chaaban, “On multi-trial Forney-Kovalev decoding of concatenated codes,” Advances in Mathematics of Communications, vol. 8, no. 1, pp. 1--20, 2014 [Online]. Available: https://doi.org/10.3934%2Famc.2014.8.1
    2. C. Senger, “Sierpinski Prefactors in the Guruwami-Sudan Interpolation Step,” in 2014 International Zurich Seminar on Communications, Zurich, Switzerland, 2014, pp. 83–86 [Online]. Available: http://e-collection.library.ethz.ch/eserv/eth:8192/eth-8192-01.pdf
  7. 2013

    1. D. E. Lazich, C. Senger, and M. Bossert, “A Corrected Disproof of the Strong Simplex Conjecture,” in SCC 2013; 9th International ITG Conference on Systems, Communication and Coding, 2013, pp. 1–5 [Online]. Available: https://ieeexplore.ieee.org/document/6469334
  8. 2012

    1. C. Senger, A. Zeh, Y. Fan, and S. Schober, “Adaptive End-to-End Network Coding based on Algebraic Codes,” in First International Workshop on Performance Evaluation and Modeling in Wireless Networks (PEMWN2012), Tunis, Tunisia, 2012.
    2. J. H. Weber, V. R. Sidorenko, C. Senger, and K. A. S. Abdel-Ghaffar, “Asymptotic single-trial strategies for GMD decoding with arbitrary error-erasure tradeoff,” Problems of Information Transmission, vol. 48, no. 4, pp. 324--333, 2012 [Online]. Available: https://doi.org/10.1134/S0032946012040023
  9. 2011

    1. V. R. Sidorenko, C. Senger, and M. Bossert, “Decoding in Weighted Combinatorial Metric,” in International Mathematical Conference “50 Years of IPPI,” Moscow, Russia, 2011.
  10. 2010

    1. C. Senger, V. R. Sidorenko, S. Schober, M. Bossert, and V. V. Zyablov, “Adaptive single-trial error/erasure decoding of binary codes,” in 2010 International Symposium On Information Theory  Its Applications, 2010, pp. 267–272 [Online]. Available: https://ieeexplore.ieee.org/document/5648959
    2. C. Senger, V. R. Sidorenko, M. Bossert, and V. V. Zyablov, “Multitrial decoding of concatenated codes using fixed thresholds,” Problems of Information Transmission, vol. 46, no. 2, pp. 127--141, 2010 [Online]. Available: https://doi.org/10.1134/S0032946010020031
    3. V. Sidorenko, and Christian Senger, M. Bossert, and V. Zyablov, “Single-trial decoding of concatenated codes using fixed or adaptive erasing,” Advances in Mathematics of Communications, vol. 4, no. 1, pp. 49--60, 2010 [Online]. Available: https://doi.org/10.3934%2Famc.2010.4.49
  11. 2009

    1. C. Senger, V. R. Sidorenko, and V. V. Zyablov, “On Generalized Minimum Distance Decoding Thresholds for the AWGN Channel,” in XII International Symposium on Problems of Redundancy in Information and Control Systems, St. Petersburg, Russia, 2009, pp. 155–163.
    2. C. Senger, “Optimized Error/Erasure Bounded Minimum Distance Decoding for the AWGN Channel,” in IEEE Information Theory Winter School 2009, Loen, Norway, 2009.
  12. 2008

    1. C. Senger, V. Sidorenko, M. Bossert, and V. Zyablov, “Decoding generalized concatenated codes using Interleaved Reed-Solomon codes,” in 2008 IEEE International Symposium on Information Theory, 2008, pp. 1808–1812 [Online]. Available: https://ieeexplore.ieee.org/document/4595300
    2. C. Senger, V. Sidorenko, M. Bossert, and V. Zyablov, “Decoding generalized concatenated codes using Interleaved Reed-Solomon codes,” in 2008 IEEE International Symposium on Information Theory, 2008, pp. 1808–1812 [Online]. Available: https://ieeexplore.ieee.org/document/4595300
    3. G. Richter, C. Senger, and M. Bossert, “Description and Decoding of q-cyclic Rank Codes,” in 7th International ITG Conference on Source and Channel Coding, 2008, pp. 1–6 [Online]. Available: https://ieeexplore.ieee.org/document/5755959
    4. V. R. Sidorenko, C. Senger, M. Bossert, and V. V. Zyablov, “Single-Trial Adaptive Decoding of Concatenated Codes,” in 11th International Workshop on Algebraic and Combinatorial Coding Theory (ACCT2008), Pamporovo, Bulgaria, 2008, pp. 260–266 [Online]. Available: http://www.moi.math.bas.bg/acct2008/b44.pdf

Contact

Stephan ten Brink
Prof. Dr.-Ing.

Stephan ten Brink

Director

Christian  Senger
Dr.-Ing.

Christian Senger

Deputy Director

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