Andrej Rode, M.Sc.
- Doktorand
- Gruppe:
Prof. Schmalen
- Raum: 104
Campus West 06.45 - rode ∂ kit edu
- Hertzstraße 16
76187 Karlsruhe
Forschungsgebiete
- Entwicklung und Optimierung Nachrichtentechnischer Systeme mittels Maschinellem Lernen
- Optimierung der geometrischen und probabilistischen Konstellationsformung für Kanäle mit Phasenrauschen unter Einbezug der Phasenrückgewinnungsalgorithmen
- Geometrische und Probabilistische Konstellationsformung
- Mehrnutzer- und Mehrträger-Übertragungsysteme
Aktuelle Arbeiten
Abschlussarbeiten
Offene Abschlussarbeiten
Titel | Betreuer | Art |
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Analysis and Implementation of Grassmannian Modulation for Non-Coherent MIMO Communications | Andrej Rode | MA |
Laufende Abschlussarbeiten
Titel | Betreuer | Art |
---|---|---|
Derzeit gibt es keine laufenden Abschlussarbeiten. |
Gesamte Liste der Veröffentlichungen
Zeitschriftenbeiträge
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A. Rode, M. Farsi, V. Lauinger, M. Karlsson, E. Agrell, L. Schmalen and C. Häger, "Machine learning opportunities for integrated polarization sensing and communication in optical fibers," Optical Fiber Technology, 2025, accepted for publication
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A. Rode, B. Geiger, S. Chimmalgi and L. Schmalen, "End-to-end optimization of constellation shaping for Wiener phase noise channels with a differentiable blind phase search," J. Lightw. Technol., vol. 41, no. 12, pp. 3849-3859, Jun. 2023, https://arxiv.org/abs/2212.03839
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Konferenzbeiträge
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B. Geiger, F. Liu, S. Lu, A. Rode and L. Schmalen, "Joint Optimization of geometric and probabilistic constellation shaping for OFDM-ISAC systems," Proc. IEEE International Symposium on Joint Communications and Sensing (JC&S), Oulu, Finland, Jan. 2025
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A. Rode, S. Chimmalgi, B. Geiger and L. Schmalen, "Joint geometric and probabilistic constellation shaping with MOKka," Proc. IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN), Stockholm, Sweden, May. 2024, Demo session
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A. Rode, W. A. Gebrehiwot, S. Chimmalgi and L. Schmalen, "Optimized geometric constellation shaping for Wiener phase noise channels with Viterbi-Viterbi carrier phase estimation," Proc. Eur. Conf. Opt. Commun. (ECOC), Glasgow, UK, Oct. 2023, https://arxiv.org/abs/2307.01367
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S. Chimmalgi, A. Rode, L. Schmid and L. Schmalen, "Approximate maximum a posteriori carrier phase estimator for Wiener phase noise channels using belief propagation," Proc. Eur. Conf. Opt. Commun. (ECOC), Glasgow, UK, Oct. 2023, https://arxiv.org/abs/2307.03517
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F. Ritter, A. Rode and L. Schmalen, "Introducing RSESS: An open-source enumerative sphere shaping implementation coded in Rust," Proc. GNU Radio Conference, Tempe, AZ, USA, Sep. 2023, https://arxiv.org/abs/2402.08771
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L. Rapp, L. Schmid, A. Rode and L. Schmalen, "Structural optimization of factor graphs for symbol detection via continuous clustering and machine learning," Proc. Int. Conf. Acoustics, Speech, and Signal Process. (ICASSP), Rhodes Island, Greece, Jun. 2023, https://arxiv.org/abs/2211.11406, Poster available at https://sigport.org/sites/default/files/docs/poster_168.pdf
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A. Rode and L. Schmalen, "Geometric constellation shaping with low-complexity demappers for Wiener phase-noise channels," Proc. Opt. Fiber Commun. Conf. (OFC), San Diego, CA, USA, Mar. 2023, https://arxiv.org/abs/2212.02401
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A. Rode and L. Schmalen, "Optimization of geometric constellation shaping for Wiener phase noise channels with varying channel parameters," Proc. Eur. Conf. Opt. Commun. (ECOC), Basel, CH, Sep. 2022, https://arxiv.org/abs/2206.12288
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A. Rode, B. Geiger and L. Schmalen, "Geometric constellation shaping for phase-noise channels using a differentiable blind phase search," Proc. Opt. Fiber Commun. Conf. (OFC), San Diego, CA, USA, Mar. 2022, preprint available at https://arxiv.org/pdf/2112.03114.pdf
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J. Demel, C. Bockelmann, A. Dekorsy, A. Rode, S. Koslowski and F. Jondral, "An optimized GFDM software implementation for future Cloud-RAN and field tests," Proc. GNU Radio Conference, Sep. 2017
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