PhD Researcher
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.
Phone: +49 351 463-40863 Email: caspar.lengerke@tu-dresden.de Office: BAR I41a
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Post-Shannon Theory and Implementation
Winter 23/24
Summer 23
Winter 22/23
Summer 22
Winter 21/22
Diploma / Master Thesis
Best Paper of the First International Workshop on Technologies for Network Twins (TNT), co-located with IEEE/IFIP NOMS 2022 Conference
Schwenteck, Paul; Zimmermann, Sandra; von Lengerke, Caspar; Cabrera, Juan A.; Fitzek, Frank H. P.
Revisiting MARS: Storing Coded Packets In-Advance for IPFS Proceedings Article
In: 2024 IEEE International Conference on Communications (ICC): Communication Software and Multimedia Symposium (IEEE ICC'24 - CSM Symposium), pp. 5.96, Denver, USA, 2024.
BibTeX
@inproceedings{Schw2406:Revisiting, title = {Revisiting MARS: Storing Coded Packets In-Advance for IPFS}, author = {Paul {Schwenteck} and Sandra {Zimmermann} and Caspar {von Lengerke} and Juan A. {Cabrera} and Frank H. P. {Fitzek}}, year = {2024}, date = {2024-06-01}, urldate = {2024-06-01}, booktitle = {2024 IEEE International Conference on Communications (ICC): Communication Software and Multimedia Symposium (IEEE ICC\'24 - CSM Symposium)}, pages = {5.96}, address = {Denver, USA}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} }
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von Lengerke, Caspar; Cabrera, Juan A.; Fitzek, Frank H. P.
Identification Codes for Increased Reliability in Digital Twin Applications over Noisy Channels Proceedings Article
In: International Conference on Metaverse Computing, Networking and Applications (MetaCom), pp. 550-557, IEEE, Kyoto, Japan, 2023.
Links | BibTeX
@inproceedings{len2023idcodesnoisy, title = {Identification Codes for Increased Reliability in Digital Twin Applications over Noisy Channels}, author = {Caspar {von Lengerke} and Juan A. {Cabrera} and Frank H. P. {Fitzek}}, doi = {10.1109/MetaCom57706.2023.00098}, year = {2023}, date = {2023-06-26}, urldate = {2023-10-06}, booktitle = {International Conference on Metaverse Computing, Networking and Applications (MetaCom)}, pages = {550-557}, publisher = {IEEE}, address = {Kyoto, Japan}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} }
von Lengerke, Caspar; Hefele, Alexander; Cabrera, Juan A.; Reisslein, Martin; Fitzek, Frank H. P.
Beyond the Bound: A New Performance Perspective for Identification via Channels Journal Article
In: IEEE Journal on Selected Areas in Communications, vol. 41, iss. 8, pp. 2687-2706, 2023.
@article{lengerke2023beyondthebound, title = {Beyond the Bound: A New Performance Perspective for Identification via Channels}, author = {Caspar {von Lengerke} and Alexander {Hefele} and Juan A. {Cabrera} and Martin {Reisslein} and Frank H. P. {Fitzek}}, doi = {10.1109/JSAC.2023.3288239}, year = {2023}, date = {2023-06-21}, urldate = {2023-06-21}, journal = {IEEE Journal on Selected Areas in Communications}, volume = {41}, issue = {8}, pages = {2687-2706}, publisher = {IEEE}, keywords = {}, pubstate = {published}, tppubtype = {article} }
von Lengerke, Caspar; Hefele, Alexander; Cabrera, Juan A.; Kosut, Oliver; Reisslein, Martin; Fitzek, Frank H. P.
Identification Codes: A Topical Review with Design Guidelines for Practical Systems Journal Article
In: IEEE Access, vol. 11, pp. 14961-14982, 2023.
@article{lengerke2023idcodes, title = {Identification Codes: A Topical Review with Design Guidelines for Practical Systems}, author = {Caspar {von Lengerke} and Alexander {Hefele} and Juan A. {Cabrera} and Oliver {Kosut} and Martin {Reisslein} and Frank H. P. {Fitzek}}, doi = {10.1109/ACCESS.2023.3244071}, year = {2023}, date = {2023-02-10}, urldate = {2023-01-01}, journal = {IEEE Access}, volume = {11}, pages = {14961-14982}, keywords = {}, pubstate = {published}, tppubtype = {article} }
von Lengerke, Caspar; Hefele, Alexander; Cabrera, Juan A.; Fitzek, Frank H. P.
Stopping the Data Flood: Post-Shannon Traffic Reduction in Digital-Twins Applications Proceedings Article
In: NOMS 2022-2022, pp. 1-5, 2022, ISSN: 2374-9709.
Abstract | Links | BibTeX
@inproceedings{lengerke2022, title = {Stopping the Data Flood: Post-Shannon Traffic Reduction in Digital-Twins Applications}, author = {Caspar {von Lengerke} and Alexander {Hefele} and Juan A. {Cabrera} and Frank H. P. {Fitzek}}, doi = {10.1109/NOMS54207.2022.9789759}, issn = {2374-9709}, year = {2022}, date = {2022-04-25}, urldate = {2022-04-25}, booktitle = {NOMS 2022-2022}, pages = {1-5}, abstract = {Digital Twin (DT) implementations can reduce latency drastically in future communication systems for steering and control of cyber-physical systems (CPS). When the CPS and its DT periodically exchange information to repair possible desynchronisations between the two systems, this can lead to large data traffic flooding the networks. This work proposes a goal-oriented communication approach based on message identification (ID), which only sends repair data when necessary, but adds control traffic and a probability of not repairing some desynchronisations between the two systems. We compare optimal ID codes and a hash function for detection whether desynchronisation correction is necessary. Our method can reduce the traffic to within 0.3 % of its optimal value while repairing 99.97 % of all desynchronisations for 4 kbit of data and grows even better for larger data.}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} }
Schmitz, Johannes; von Lengerke, Caspar; Airee, Nikita; Behboodi, Arash; Mathar, Rudolf
A deep learning wireless transceiver with fully learned modulation and synchronization Proceedings Article
In: 2019 IEEE International Conference on Communications Workshops (ICC Workshops), pp. 1-6, IEEE 2019.
@inproceedings{schmitz19:dltrainsceiver, title = {A deep learning wireless transceiver with fully learned modulation and synchronization}, author = {Johannes {Schmitz} and Caspar {von Lengerke} and Nikita {Airee} and Arash {Behboodi} and Rudolf {Mathar}}, year = {2019}, date = {2019-01-01}, booktitle = {2019 IEEE International Conference on Communications Workshops (ICC Workshops)}, pages = {1-6}, organization = {IEEE}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} }