activity
20212026
most citedEnd-to-end Optimization of Constellation Shaping for Wiener Phase Noise Channels with a Differentiable Blind Phase Search

28 citations · 49 across the 14 of their papers we have counts for

collaborators

14 papers

eess.SP2026

Modeling and Mitigation of Equalization-Enhanced Phase Noise

Benedikt Geiger, Fred Buchali, Vahid Aref +1

Equalization-enhanced phase noise (EEPN) emerges as a key performance limitation in high symbol-rate coherent transmission systems. In this paper, we highlight recent advances in m…

eess.SP2026

Breaking the CP Limit: Robust Long-Range OFDM Sensing via Interference Cleaning

Umut Utku Erdem, Lucas Giroto, Benedikt Geiger +6

In orthogonal frequency-division multiplexing-based radar and integrated sensing and communication systems, the sensing range is traditionally limited by the round-trip time corres…

eess.SP2025★ 1 cited

Neural Network-Based Single-Carrier Joint Communication and Sensing: Loss Design, Constellation Shaping and Precoding

Charlotte Muth, Benedikt Geiger, Daniel Gil Gaviria +1

We investigate the impact of higher-order modulation formats on the sensing performance of single-carrier joint communication and sensing (JCAS) systems. Several separate component…

eess.SP2025

Interference Mitigation for OFDM-based Integrated Sensing and Communications with Arbitrary Modulation Formats

Felix Artmann, Daniel Gil Gaviria, Benedikt Geiger +1

Integrated sensing and communication will be a key feature of future mobile networks, enabling highly efficient systems and numerous new applications by leveraging communication si…

eess.SP2025

Constellation Shaping for OFDM-ISAC Systems: From Theoretical Bounds to Practical Implementation

Benedikt Geiger, Fan Liu, Shihang Lu +4

Integrated sensing and communications (ISAC) promises new use cases for mobile communication systems by reusing the communication signal for radar-like sensing. However, sensing an…

eess.SP2025

A Temporal Gaussian Noise Model for Equalization-enhanced Phase Noise

Benedikt Geiger, Fred Buchali, Vahid Aref +1

Equalization-enhanced Phase Noise causes burst-like distortions in high symbol-rate transmission systems. We propose a temporal Gaussian noise model that captures these distortions…

eess.SP2025

On the Sensing Performance of FMCW-based Integrated Sensing and Communications with Arbitrary Constellations

Daniel Gil Gaviria, Benedikt Geiger, Charlotte Muth +1

Integrated sensing and communications (ISAC) is expected to play a major role in numerous future applications, e.g., smart cities. Leveraging native radar signals like the frequenc…

eess.SP2025

A Novel Phenomenological Model of Equalization-enhanced Phase Noise

Benedikt Geiger, Fred Buchali, Vahid Aref +1

We show that equalization-enhanced phase noise manifests as a time-varying, frequency-dependent phase error, which can be modeled and reversed by a time-varying all-pass finite imp…

eess.SP2025

Integrated Long-range Sensing and Communications in Multi Target Scenarios using CP-OFDM

Benedikt Geiger, Silvio Mandelli, Marcus Henninger +3

6G communication systems promise to deliver sensing capabilities by utilizing the orthogonal frequency division multiplexing (OFDM) communication signal for sensing. However, the c…

eess.SP2025

Joint Optimization of Geometric and Probabilistic Constellation Shaping for OFDM-ISAC Systems

Benedikt Geiger, Fan Liu, Shihang Lu +2

6G communications systems are expected to integrate radar-like sensing capabilities enabling novel use cases. However, integrated sensing and communications (ISAC) introduces a tra…

eess.SP2024★ 1 cited

On the Sensing Performance of OFDM-based ISAC under the Influence of Oscillator Phase Noise

Lucas Giroto de Oliveira, Yueheng Li, Benedikt Geiger +3

Integrated sensing and communication (ISAC) is a novel capability expected for sixth generation (6G) cellular networks. To that end, several challenges must be addressed to enable…

eess.SP2024

Loss Design for Single-carrier Joint Communication and Neural Network-based Sensing

Charlotte Muth, Benedikt Geiger, Daniel Gil Gaviria +1

We evaluate the influence of multi-snapshot sensing and varying signal-to-noise ratio (SNR) on the overall performance of neural network (NN)-based joint communication and sensing…

eess.SP2022★ 28 cited

End-to-end Optimization of Constellation Shaping for Wiener Phase Noise Channels with a Differentiable Blind Phase Search

Andrej Rode, Benedikt Geiger, Shrinivas Chimmalgi +1

As the demand for higher data throughput in coherent optical communication systems increases, we need to find ways to increase capacity in existing and future optical communication…

eess.SP2021★ 19 cited

Geometric Constellation Shaping for Phase-noise Channels Using a Differentiable Blind Phase Search

Andrej Rode, Benedikt Geiger, Laurent Schmalen

We perform geometric constellation shaping with optimized bit labeling using a binary autoencoder including a differential blind phase search (BPS). Our approach enables full end-t…