Caspar v. Lengerke

M.Sc.
Caspar v. Lengerke

PhD Researcher

+49 351 463-40863

caspar.lengerke@tu-dresden.de

Office: BAR I41a

Caspar v. Lengerke studied Electrical Engineering at RWTH Aachen University and received his Bachelor’s and Master’s degree in 2017 and 2019 respectively. For his Master’s thesis he worked on Machine Learning in the Physical Layer and stayed for his compulsory internship with Nokia Bell Labs in Stuttgart. Thereafter, he studied Economics at Heidelberg University before joining the Deutsche Telekom Chair of Communication Networks at TU Dresden in July 2021.

His research focuses on goal-oriented communication. Since current communication methods are getting closer and closer to the theoretical limit postulated by Claude Shannon 70 years ago, new avenues of research are necessary to find ways to still the demand for even more connectivity in the future. While Shannon considered the goal of any communication to be irrelevant to the underlying engineering task, information theorists have found the opposite to be true. Any communication goal can be achieved using Shannon’s understanding of communication, but certain goals can be achieved by transmitting significantly less data than Shannon’s theory demands. Goal-oriented communication allows for drastic improvements over traditional communication methods by exploiting knowledge of the goal of the communication, and utilisation of previously useless resources like common randomness and noiseless feedback to increase the channel capacity.

Prominent examples of communication goals with significant proven gains over Shannon’s view include identification via channels and common randomness generation. In identification, the goal of the communication is for the receiver to verify whether the transmitter sent a specific message or not. This is, for example, of interest in massive machine-type communications and digital twin applications. Common randomness generation allows for two parties to agree on a certain amount of random data by transmitting less data than the amount of random data finally agreed upon. Common randomness is of special interest for security applications and can significantly increase identification capacity.

Research Interests

  • Goal-oriented Communications
  • Practical Identification Codes
  • Common Randomness Generation

Projects

Post-Shannon Theory and Implementation

Teaching

Winter 23/24

Summer 23

Winter 22/23

Summer 22

  • Fundamentals of Electrical Engineering 2

Winter 21/22

Supervision

Diploma / Master Thesis

  • A Boolean Algebraic Approach to Coded Distributed Computing (Haonan Yin, 11/22- 04/23)
  • GRAND Decoders for 5G (Niklas Förster, 01/22 – 06/22)
  • Examination of Identification in Software Defined Radios (Alexander Hefele, 10/21 – 03/22)
    • Awarded with Hans-Pundt-Preis 2022 of VDE Bezirksverein Dresden

Awards

Best Paper of the First International Workshop on Technologies for Network Twins (TNT), co-located with IEEE/IFIP NOMS 2022 Conference

Reviews

  • European Wireless 2023

Posters

  • “Beyond the Bound: A New Performance Perspective for Randomized Noiseless Identification Codes”, Workshop on Information Theory and Related Fields In Memory of Ning Cai, ZiF Bielefeld, Germany, 24th November to 26th November, 2023.

Talks/Tutorials

  • “Post-Shannon Communication for Future Communication Systems”, Part 5, IEEE Virtual Conference on Communications – Tutorial, 28th November, 2023.

Publications

Table of Contents

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