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