arXiv subjects

Gerhard Schreiber

Publications and source records attributed to Gerhard Schreiber.

3 recordsLinked to original sources

arXiv2026

Enhancing 3GPP Urban Channel Models For Terrestrial-to-Non-Terrestrial Communication

We have developed enhanced models for large-scale channel parameters intended for terrestrial-to-non-terrestrial (NTN) communication in Urban environments for supporting devices above ground levels, such as drones. The models are formulated as functions of terminal height above ground and elevation angle, applicable to S-Band and Ka-Band frequencies. To ensure realistic models, an open-source 3D scene generator was utilized to create a diverse set of urban scenes across Europe. Sionna ray-tracing was employed to generate path-gain samples for outdoor terminals, covering a range of heights up to 300 meters and elevation angles up to 90{\deg}. Our proposed analytical functions show excellent agreement to ray-tracing data for line-of-sight (LOS) probability, shadow-fading (SF), and clutter-loss (CL). Furthermore, a comparative coupling gain analysis with existing 3GPP models reveals notable differences, particularly caused by smaller CL and higher LOS probabilities from proposed models. Designed for ease of use, these models can be seamlessly integrated into simulation tools, offering a practical solution for researchers and engineers.

eess.SP↗

arXiv2021

Blind Coherent Preamble Detection via Neural Networks

In wireless communications systems, the user equipment (UE) transmits a random access preamble sequence to the base station (BS) to be detected and synchronized. In standardized cellular communications systems Zadoff-Chu sequences has been proposed due to their constant amplitude zero autocorrelation (CAZAC) properties. The conventional approach is to use matched filters to detect the sequence. Sequences arrived from different antennas and time instances are summed up to reduce the noise variance. Since the knowledge of the channel is unknown at this stage, a coherent combining scheme would be very difficult to implement. In this work, we leverage the system design knowledge and propose a neural network (NN) sequence detector and timing advanced estimator. We do not replace the whole process of preamble detection by a NN. Instead, we propose to use NN only for \textit{blind} coherent combining of the signals in the detector to compensate for the channel effect, thus maximize the signal to noise ratio. We have further reduced the problem's complexity using Kronecker approximation model for channel covariance matrices, thereby, reducing the size of required NN. The analysis on timing advanced estimation and sequences detection has been performed and compared with the matched filter baseline.

cs.IT↗

arXiv2009

Waveguide-based OPO source of entangled photon pairs

In this paper we present a compact source of narrow-band energy-time entangled photon pairs in the telecom regime based on a Ti-indiffused Periodically Poled Lithium Niobate (PPLN) waveguide resonator, i.e. a waveguide with end-face dielectric multi-layer mirrors. This is a monolithic doubly resonant Optical Parametric Oscillator (OPO) far below threshold, which generates photon pairs by Spontaneous Parametric Down Conversion (SPDC) at around 1560nm with a 117MHz (0.91 pm)- bandwidth. A coherence time of 2.7 ns is estimated by a time correlation measurement and a high quality of the entangled states is confirmed by a Bell-type experiment. Since highly coherent energy-time entangled photon pairs in the telecom regime are suitable for long distance transmission and manipulation, this source is well suited to the requirements of quantum communication.

quant-ph↗