Geometric Constellation Shaping for Phase-noise Channels Using a Differentiable Blind Phase Search. - Andrej Rode; Benedikt Geiger; Laurent Schmalen (OFC, 2022)

Optimization of Geometric Constellation Shaping for Wiener Phase Noise Channels with Varying Channel Parameters. - Andrej Rode; Laurent Schmalen (CoRR, 2022)

End-to-end Optimization of Constellation Shaping for Wiener Phase Noise Channels with a Differentiable Blind Phase Search. - Andrej Rode; Benedikt Geiger; Shrinivas Chimmalgi; Laurent Schmalen (CoRR, 2022)

Structural Optimization of Factor Graphs for Symbol Detection via Continuous Clustering and Machine Learning. - Lukas Rapp; Luca Schmid; Andrej Rode; Laurent Schmalen (ICASSP, 2023)

Geometric Constellation Shaping with Low-complexity Demappers for Wiener Phase-noise Channels. - Andrej Rode; Laurent Schmalen (OFC, 2023)

Optimized Geometric Constellation Shaping for Wiener Phase Noise Channels with Viterbi-Viterbi Carrier Phase Estimation. - Andrej Rode; Wintana Araya Gebrehiwot; Shrinivas Chimmalgi; Laurent Schmalen (CoRR, 2023)

Approximate Maximum a Posteriori Carrier Phase Estimator for Wiener Phase Noise Channels using Belief Propagation. - Shrinivas Chimmalgi; Andrej Rode; Luca Schmid; Laurent Schmalen (CoRR, 2023)

Introducing RSESS: An Open Source Enumerative Sphere Shaping Implementation Coded in Rust. - Frederik Ritter; Andrej Rode; Laurent Schmalen (CoRR, 2024)

Joint Optimization of Geometric and Probabilistic Constellation Shaping for OFDM-ISAC Systems. - Benedikt Geiger; Fan Liu 005; Shihang Lu; Andrej Rode; Laurent Schmalen (JC&S, 2025)