activity
20232026
most citedOn the Sensing Performance of OFDM-based ISAC under the Influence of Oscillator Phase Noise

1 citations · 2 across the 18 of their papers we have counts for

collaborators

19 papers

eess.SP2026

Reliable Non-Line-of-Sight Intrusion Detection with Integrated Sensing and Communications Hardware

Paolo Tosi, Maximilian Bauhofer, Marcus Henninger +2

Non-line-of-sight (NLOS) sensing has the potential to enable use cases like intrusion detection in occluded areas, increasing the value provided by Integrated Sensing and Commu- ni…

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.SP2026

Precoding Design for Multi-User MIMO Joint Communications and Sensing

Charlotte Muth, Shrinivas Chimmalgi, Laurent Schmalen

We investigate precoding for multi-user (MU) multiple-input multiple-output (MIMO) joint communications and sensing (JCAS) systems, taking into account the potential interference b…

cs.IT2025

An Extension of Enumerative Sphere Shaping for Arbitrary Channel Input Distributions

Frederik Ritter, Andrej Rode, Laurent Schmalen

A non-uniform channel input distribution is key for achieving the capacity of arbitrary channels. However, message bits are generally assumed to follow a uniform distribution which…

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

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective

Victor Shatov, Steffen Schieler, Charlotte Muth +11

The sixth-generation wireless communications (6G) is often labeled as "connected intelligence". Radio sensing, aligned with machine learning (ML) and artificial intelligence (AI),…

cs.IT2025

End-to-End Learning of Probabilistic Constellation Shaping through Importance Sampling

Shrinivas Chimmalgi, Laurent Schmalen, Vahid Aref

Probabilistic constellation shaping enables easy rate adaption and has been proven to reduce the gap to Shannon capacity. Constellation point probabilities are optimized to maximiz…

cs.LG2025

Uncertainty Propagation in the Fast Fourier Transform

Luca Schmid, Charlotte Muth, Laurent Schmalen

We address the problem of uncertainty propagation in the discrete Fourier transform by modeling the fast Fourier transform as a factor graph. Building on this representation, we pr…

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

Improved Estimation Accuracy in OFDM-based Joint Communication and Sensing through Kalman Tracking and Interpolation

Charlotte Muth, Leon Schmidt, Shrinivas Chimmalgi +1

We investigate a monostatic orthogonal frequency-division multiplexing (OFDM)-based joint communication and sensing (JCAS) system for object tracking. Our setup consists of a trans…

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

Bistatic OFDM-based ISAC with Over-the-Air Synchronization: System Concept and Performance Analysis

David Brunner, Lucas Giroto de Oliveira, Charlotte Muth +8

Integrated sensing and communication (ISAC) has been defined as one goal for 6G mobile communication systems. In this context, this article introduces a bistatic ISAC system based…

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.SP2023

Fractional Chirp-Slope-Shift-Keying for SDR-based Search and Rescue Applications

Daniel Gil Gaviria, Marcus Müller, Felix Artmann +1

The use of modern software-defined radio (SDR) devices enables the implementation of efficient communication systems in numerous scenarios. Such technology comes especially handy i…