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20232025
most citedNeural Network-Based Single-Carrier Joint Communication and Sensing: Loss Design, Constellation Shaping and Precoding

1 citations · 1 across the 5 of their papers we have counts for

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eess.SP20251 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

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

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.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…