Aktuelle Publikationen

This paper compares different raytracing tools in the sub-THz area, to analyze the weight of several different effects, e.g. reflections, diffractions, scattering or atmospheric attenuation, during raytracing simulations for high frequencies. For...

Recent deepfakes preserve subtle heart rate signals, challenging the assumption that rPPG-based detection remains effective. Our study demonstrates that modern deepfake generation techniques encapsulate the heart rate dynamics of source videos,...

Despite extensive theoretical progress in reconfigurable intelligent surfaces (RISs), practical models and network-level studies remain limited. This paper bridges the gap, exploring RIS-assisted links, proposing a control plane approach, and...

In this work, we introduce concepts for spatially resolved magnetic field sensing and two-dimensional gradiometry with an integrated magnetic field camera. The camera utilizes infrared absorption optically detected magnetic resonance (IRA ODMR)...

This paper presents a dual-polarized magneto-electric dipole antenna with orthogonal Gamma and inverted-Gamma probes, fabricated via 3D metal printing. It offers a 3-4 GHz impedance bandwidth, with excellent cross-polarization isolation (>50...

Researchers from Deutsche Telekom AG and Fraunhofer HHI explores the Link Tomography, a receiver-based DSP approach for monitoring optical networks and detecting anomalies. Delving into concepts and building methodologies, it addresses challenges...

We propose a novel solution using the Eclipse Dataspace Components (EDC) Connector to enable regulated and policy-driven telemetry data sharing in telco ecosystems. We present its architecture, several compatible use-cases, and results validating...

We report on a wide-beam LiFi transmitter using multiple VCSEL arrays with digital drivers. We transmit a 3.75 GBd PAM-3 signal at a gross data rate of 5.625 Gbit/s. Single-driver OOK operation yields 7.75 GBd.

We demonstrate blind 6x6 adaptive equalization of 32 GBd DP-QPSK 3-mode transmission over a 54 km FMF based on the singularity-free convergence ability of the correlation-avoidance CMA (CA-CMA). The CA-CMA is used for robust pre-convergence in a...

NeRFs struggle with low-textured areas, causing "floaters" that reduce realism, especially on featureless surfaces. We propose a method for computing dense depth priors for these areas, using a novel depth loss function and patch regularization...

This paper presents an automated drywall analysis method for construction progress and quality assessment using on-site cameras. It integrates a deep learning-based segmentation model to detect and classify drywall elements, with a module to...

We propose AT-GS, a novel method for reconstructing high-quality dynamic surfaces from multi-view videos through per-frame incremental optimization. To avoid local minima across frames, we introduce a unified and adaptive gradient-aware...

The recently approved IEEE standard 802.15.13 defines a deterministic medium access scheme with dynamically allocated time slices and two ways of coding and modulation for industrial light communication. We present our work on prototyping the...

Enhancing an OOK-based PHY for LiFi, we show that the large bandwidth, high power, and low energy consumption of low-cost VCSEL arrays combined with SFP drivers can be utilized to reach Multi-Gbit/s data rates and enable user mobility in large...

We investigate the capability of team MMSE technique in enhancing distributed beamforming for dense user-centric cell free massive MIMO networks. Considering the anticipated ultra-dense nature of cell-free massive MIMO networks and the...

This paper presents a closed-form expression for Doppler spectrum in mobile wireless channels with von Mises-Fisher (vMF) angular distribution of scatters. The obtained result is employed to analyze the impact of the vMF scattering parameters...

We investigate the semantic security of classical and quantum communication channels in the presence of infinite-dimensional side channels. A new method for security proofs is developed, which allows to derive finite block-length results in the...

This paper proposes a dual-functional waveform design for integrated sensing and communication systems under adjustable peak-to-average-power-ratio constraints.

The paper discusses a novel framework to integrate heterogeneous Radio Access Technologies (RATs) with the 5G O-RAN for coordination and joint optimization. As an example, it lays out the architecture of a WiFi Radio Intelligent Controller (RIC)...

The article presents a novel self-interference cancellation (SIC) technique using a lossless decoupling network in the RF domain for dedicated transmit-receive antennas. It includes antenna coupling analysis, SISO and 2×2 MIMO tests, and a...

This article presents a novel D-band (150-175 GHz) wireless transceiver, achieving 48 dBm EIRP with eight RF beams via a Rotman lens, outperforming prior versions. Developed with InGaAs MMIC technology, it enabled 6G trials, including a 9-meter...

The von Mises-Fisher (vMF) scattering model is widely recognized for characterizing angular power distributions in MIMO systems and demonstrates versatility in modeling both communication and radar channels. This paper introduces exact and simple...

We present a method to monitor network side energy consumption by an application running on the UE by fusing energy monitoring data with in band network telemetry.

We present a novel approach that combines the high rendering quality of NeRF-based 3D-aware GANs with the flexibility and computational advantages of 3DGS. By training a decoder that maps implicit NeRF representations to explicit 3D Gaussian...

How to provide robust connectivity against signal blockage in 6G mmWave/sub-THz networks? This study demonstrates that carefully designed multi-connectivity schemes can realize full macrodiversity gains and significant SNR gains through canonical...

We present a new automotive bus system which allows enhanced channel adaptation and fine-granular multi-user access based on OFDMA. We highlight advantages of OFDMA in automotive applications, sketch the concept and present an FPGA prototype.

We present a generative model that learns to synthesize human motion from limited training sequences. Our framework provides conditional generation and blending across multiple temporal resolutions. moOurdel adeptly captures human motion patterns...

In recent years, training data attribution (TDA) methods have emerged as a promising direction for the interpretability of neural networks. While research around TDA is thriving, limited effort has been dedicated to the evaluation of...

We analyze the system performance of a large bandwidth photonic THz transmitter based on a WR3 coupled photodiode. Employing probabilistic constellation shaping (PCS) alongside a 64-QAM base constellation, we achieve net data rates of up to 76.8...

We present SPVLoc, a global indoor localization method that accurately determines the six-dimensional (6D) camera pose of a query image and requires minimal scene-specific prior knowledge and no scene-specific training. Our approach employs a...