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20112026
most citedDeep Learning-Based Communication Over the Air

887 citations · 1.2k across the 50 of their papers we have counts for

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Showing 2024Show all

6 papers · 1 filter

cs.IT2024

Leveraging the Doppler Effect for Channel Charting

Florian Euchner, Phillip Stephan, Stephan ten Brink

Channel Charting is a dimensionality reduction technique that reconstructs a map of the radio environment from similarity relationships found in channel state information. Distance…

cs.IT2024

GAN-based Massive MIMO Channel Model Trained on Measured Data

Florian Euchner, Janina Sanzi, Marcus Henninger +1

Wireless channel models are a commonly used tool for the development of wireless telecommunication systems and standards. The currently prevailing geometry-based stochastic channel…

eess.SP2024

CRAP Part II: Clutter Removal with Continuous Acquisitions Under Phase Noise

Marcus Henninger, Silvio Mandelli, Artjom Grudnitsky +1

The mitigation of clutter is an important research branch in Integrated Sensing and Communication (ISAC), one of the emerging technologies of future cellular networks. In this work…

eess.SP2024

Antenna Array Design for Mono-Static ISAC

Alexander Felix, Silvio Mandelli, Marcus Henninger +1

Mono-static sensing operations in ISAC perform joint beamforming between transmitter and receiver. However, in contrast to pure radar systems, ISAC requires to fulfill communicatio…

cs.IT2024★ 1 cited

Graph Neural Network-based Joint Equalization and Decoding

Jannis Clausius, Marvin Geiselhart, Daniel Tandler +1

This paper proposes to use graph neural networks (GNNs) for equalization, that can also be used to perform joint equalization and decoding (JED). For equalization, the GNN is build…

cs.IT2024

Deep Learning Based Adaptive Joint mmWave Beam Alignment

Daniel Tandler, Marc Gauger, Ahmet Serdar Tan +2

The challenging propagation environment, combined with the hardware limitations of mmWave systems, gives rise to the need for accurate initial access beam alignment strategies with…