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Full List of Publications

Journal papers

1. 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, vol. 90, no. 104047, Mar. 2025
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2. 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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Conference papers

1. V. Lauinger, L. Schmitz, P. Matalla, A. Rode, S. Randel and L. Schmalen, "Novel phase-noise-tolerant variational-autoencoder-based equalization suitable for space-division-multiplexed transmission," Proc. Eur. Conf. Opt. Commun. (ECOC), Copenhagen, Denmark, Sep. 2025
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2. 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, https://arxiv.org/abs/2501.11583
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3. 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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4. 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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5. 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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6. 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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7. 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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8. 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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9. 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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10. 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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11. 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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