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Stephan ten Brink

Stephan ten Brink

D-Index & Metrics

Computer Science

D-Index
48
Citations
21650
World Ranking
6005
National Ranking
279

Overview

Stephan ten Brink is affiliated with the University of Stuttgart in Germany and conducts research primarily in the fields of Engineering and Computer Science. Their work extensively covers subfields such as Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence, Signal Processing, and Aerospace Engineering.

Their research focuses on a range of advanced topics, including:

  • Error Correcting Code Techniques
  • Advanced Wireless Communication Techniques
  • Millimeter-Wave Propagation and Modeling
  • Advanced MIMO Systems Optimization
  • Wireless Signal Modulation Classification
  • Indoor and Outdoor Localization Technologies
  • Speech and Audio Processing

Recent publications highlight ongoing contributions to wireless communication and channel coding, including:

  • "6G: A Welcome Chance to Unify Channel Coding?" (2023), IEEE BITS the Information Theory Magazine
  • "Trends in Channel Coding for 6G" (2024), Proceedings of the IEEE
  • "Learning Radio Environments by Differentiable Ray Tracing" (2024), IEEE Transactions on Machine Learning in Communications and Networking
  • "Angle-Delay Profile-Based and Timestamp-Aided Dissimilarity Metrics for Channel Charting" (2024), IEEE Transactions on Communications
  • "Learning Joint Detection, Equalization and Decoding for Short-Packet Communications" (2022), IEEE Transactions on Communications

Frequent coauthors collaborating with Stephan ten Brink include Marvin Geiselhart, Jannis Clausius, Florian Euchner, Sebastian Dörner, and Sebastian Cammerer. These collaborations reflect a consistent partnership in advancing topics related to channel coding and wireless communication technologies.

Their work is often published in venues such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Communications
  • 2022 IEEE Globecom Workshops (GC Wkshps)
  • 2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication (SPAWC)
  • IEEE Communications Letters

This publication pattern illustrates a strong emphasis on conferences and journals specializing in communications, signal processing, and machine learning in communication networks.

Best Publications

  • Achieving near-capacity on a multiple-antenna channel

    B.M. Hochwald;S. ten Brink

  • Massive MIMO in the UL/DL of Cellular Networks: How Many Antennas Do We Need?

    J. Hoydis;Stephan ten Brink;M. Debbah

  • Convergence behavior of iteratively decoded parallel concatenated codes

    Unknown

  • Design of low-density parity-check codes for modulation and detection

    S. ten Brink;G. Kramer;A. Ashikhmin

  • 5GNOW: non-orthogonal, asynchronous waveforms for future mobile applications

    Gerhard Wunder;Peter Jung;Martin Kasparick;Thorsten Wild

  • Extrinsic information transfer functions: model and erasure channel properties

    A. Ashikhmin;G. Kramer;S. ten Brink

  • Deep Learning Based Communication Over the Air

    Sebastian Dorner;Sebastian Cammerer;Jakob Hoydis;Stephan ten Brink

  • Universal-filtered multi-carrier technique for wireless systems beyond LTE

    Vida Vakilian;Thorsten Wild;Frank Schaich;Stephan ten Brink

  • Convergence of iterative decoding

    Unknown

  • On deep learning-based channel decoding

    Tobias Gruber;Sebastian Cammerer;Jakob Hoydis;Stephan ten Brink

  • Iterative demapping and decoding for multilevel modulation

    Unknown

  • Massive MIMO: How many antennas do we need?

    Jakob Hoydis;Stephan ten Brink;Merouane Debbah

  • Channel measurements for large antenna arrays

    Jakob Hoydis;Cornelis Hoek;Thorsten Wild;Stephan ten Brink

  • A close-to-capacity dirty paper coding scheme

    Unknown

  • Design of repeat-accumulate codes for iterative detection and decoding

    S. ten Brink;G. Kramer

  • Soft handover system for a multiple sub-carrier communication system and method thereof

    Stephan ten Brink;Richard D. J. van Nee

  • OFDM-Autoencoder for End-to-End Learning of Communications Systems

    Alexander Felix;Sebastian Cammerer;Sebastian Dorner;Jakob Hoydis

  • Making smart use of excess antennas: Massive MIMO, small cells, and TDD

    Jakob Hoydis;Kianoush Hosseini;Stephan ten Brink;Mérouane Debbah

  • Scaling Deep Learning-Based Decoding of Polar Codes via Partitioning

    Sebastian Cammerer;Tobias Gruber;Jakob Hoydis;Stephan ten Brink

  • Silicon complexity for maximum likelihood MIMO detection using spherical decoding

    D. Garrett;L. Davis;S. ten Brink;B. Hochwald

  • Detect and avoid: an ultra-wideband/WiMAX coexistence mechanism [Topics in Radio Communications]

    S.M. Mishra;R.W. Brodersen;S.T. Brink;R. Mahadevappa

  • 5GNOW: Challenging the LTE Design Paradigms of Orthogonality and Synchronicity

    Gerhard Wunder;Martin Kasparick;Stephan ten Brink;Frank Schaich

  • Pilot interference cancellation for a coherent wireless code division multiple access receiver

    Howard C. Huang;Chih-Lin I;Stephan ten Brink;Giovanni Vannucci

  • Massive MIMO and small cells: How to densify heterogeneous networks

    Kianoush Hosseini;Jakob Hoydis;Stephan ten Brink;Merouane Debbah

  • Trainable Communication Systems: Concepts and Prototype

    Sebastian Cammerer;Faycal Ait Aoudia;Sebastian Dorner;Maximilian Stark

  • Belief Propagation List Decoding of Polar Codes

    Ahmed Elkelesh;Moustafa Ebada;Sebastian Cammerer;Stephan ten Brink

  • Method and apparatus for detection and decoding of signals received from a linear propagation channel

    Bertrand Martyn Hochwald;Stephan ten Brink

Frequent Co-Authors

Jakob Hoydis
Jakob Hoydis Nvidia (United States)
Chih-Lin I
Chih-Lin I China Mobile (China)
Bertrand M. Hochwald
Bertrand M. Hochwald University of Notre Dame
Merouane Debbah
Merouane Debbah Khalifa University
Fred Buchali
Fred Buchali Nokia (United States)
Howard Huang
Howard Huang Nokia (United States)
Mathieu Chagnon
Mathieu Chagnon McGill University
Li Ping
Li Ping City University of Hong Kong
Gerhard Kramer
Gerhard Kramer Technical University of Munich
Alexei Ashikhmin
Alexei Ashikhmin Nokia (United States)

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