Aktuelle Publikationen

September 2025

Beampattern Synthesis with a Computationally Efficient Matrix Nearness Approach

Berkan Kilic, Slawomir Stanczak, Martin Kasparick, Kenan Turbic

This work introduces a computationally efficient method for MIMO radar beampattern synthesis through optimized waveform covariance matrix design. The approach directs transmitted power toward target regions, minimizes cross-correlations, and...


September 2025

D-Band Adaptive Beamforming for 6G Sub-THz Communications: Feasibility and Experimental Results

Sven Wittig, Thomas Haustein, Matthias Mehlhose, Slawomir Stanczak, Michael Peter, Ramez Askar, Mathis Schmieder, Thomas Merkle, Jaehoon Chung, Utku Uçak, Laurenz John, Yonghak Suh, Jongpil Lee, Bersant Gashi, Arnulf Leuther

Making sub-Terahertz frequencies usable in future mobile radio networks such as 6G requires adaptive beamforming techniques. Using newly developed D-band front ends, we present first experimental evidence for the feasibility of this approach.


August 2025

On the effectiveness of multimodal privileged knowledge distillation in two vision transformer based diagnostic applications

Simon Baur, Jackie Ma, Emilio Dolgener Cantú, Alexandra Benova

Deploying deep learning models in clinical practice often requires leveraging multiple data modalities, such as images, text, and structured data, to achieve robust and trustworthy decisions. However, not all modalities are always available at...


August 2025

Quantification of Degradation Processes in Lithium-Ion Batteries Through Internal Strain Measurement with Fiber Bragg Grating Sensors

Leonard Kropkowski, Wolfgang Schade, Antonio Nedjalkov, Tim Oestreich, Fangqi Li, Alexandra Burger, Andreas Würsig

This study explores the use of fiber optical sensors with Bragg gratings to monitor internal strain in lithium-ion battery anodes, offering new insights into aging and degradation. By combining optical measurements with traditional methods, it...


August 2025

E2E energy monitoring for AI inference in mobile networks

Abhishek Girish Dandekar, Julius Schulz-Zander, Ashrafur Rahman

When doing edge inference, VLM models in certain situations might consume similar energy as that of private 5G networks.


August 2025

Geometrical and Physical Optics Analysis of Sub-THz Elliptical Dielectric Lens

Vitor Carvalho De Almeida, Wilhelm Keusgen, Michael Peter, Ramez Askar

Analysis of dielectric lens in sub-THz frequencies often demands huge computational effort for full-wave electromagnetic methods. This paper presents an asymptotic technique for lens analysis at D-band, using ray tracing and applying Kirchhoff’s...


August 2025

Sub-THz Waveguide Band-Pass Filter: Design, Analysis and Fabrication Repeatability

Mehmet Ahad Yurtoglu, Michael Peter, Ramez Askar, Sven Wittig

This work presents high-precision all-metal Chebyshev band-pass filters operating in the Y-band (470?GHz) and D-band (160?GHz), featuring six coupled cavities and 10?GHz bandwidth with 20?dB return loss. CNC milling enables sub-5??m fabrication...


August 2025

Reconfigurable Intelligent Surface Placement for Enhanced User Equipment Coverage

Sven Haesloop, Slawomir Stanczak, Ehsan Tohidi

This work investigates how smart placement of Reconfigurable Intelligent Surfaces (RISs) can extend wireless coverage by considering Line-of-Sight conditions and surface orientation as key design factors. A low-complexity algorithm enables...


August 2025

Spatially Resolved Rainfall Streamflow Modeling in Central Europe

Marc Vischer, Jackie Ma, Noelia Otero Felipe

Climate change increases the risk of disastrous floods and makes intelligent fresh water management an ever more important issue for society. A central prerequisite is the ability to accurately predict the water level in rivers from a range of...


August 2025

An Open Source Digital Twin Framework for O-RAN

Hammad Zafar, Slawomir Stanczak, Martin Kasparick, Ehsan Tohidi

This paper introduces a digital twin framework for O-RAN, designed to support the development and testing of xApps. By leveraging real-time data analysis and simulation, digital twins facilitate network performance optimization and enable a...


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