activity
20072023
most citedDeterministic Pilot Design and Channel Estimation for Downlink Massive MIMO-OTFS Systems in Presence of the Fractional Doppler

125 citations · 946 across the 54 of their papers we have counts for

collaborators

63 papers

eess.SP2023★ 2 cited

Comparing Iterative and Least-Squares Based Phase Noise Tracking in Receivers with 1-bit Quantization and Oversampling

Florian Gast, Stephan Zeitz, Meik Dörpinghaus +1

High data rates require vast bandwidths, that can be found in the sub-THz band, and high sampling frequencies, which are predicted to lead to a problematically high analog-to-digit…

eess.SP2023★ 1 cited

Digital Twin of the Radio Environment: A Novel Approach for Anomaly Detection in Wireless Networks

Anton Krause, Mohd Danish Khursheed, Philipp Schulz +2

The increasing relevance of resilience in wireless connectivity for Industry 4.0 stems from the growing complexity and interconnectivity of industrial systems, where a single point…

cs.NI2023

On the Mobility Analysis of UE-Side Beamforming for Multi-Panel User Equipment in 5G-Advanced

Subhyal Bin Iqbal, Salman Nadaf, Umur Karabulut +4

Frequency range 2 (FR2) has become an integral part of 5G networks to fulfill the ever-increasing demand for data hungry-applications. However, radio signals in FR2 experience high…

eess.SP2023★ 7 cited

Experimental Performance of Blind Position Estimation Using Deep Learning

Ivo Bizon, Zhongju Li, Ahmad Nimr +2

Accurate indoor positioning for wireless communication systems represents an important step towards enhanced reliability and security, which are crucial aspects for realizing Indus…

eess.SP2023★ 8 cited

Blind Transmitter Localization Using Deep Learning: A Scalability Study

Ivo Bizon, Ahmad Nimr, Philipp Schulz +2

This work presents an investigation on the scalability of a deep leaning (DL)-based blind transmitter positioning system for addressing the multi transmitter localization (MLT) pro…

cs.NI2023★ 33 cited

Machine Learning for QoS Prediction in Vehicular Communication: Challenges and Solution Approaches

Alexandros Palaios, Christian L. Vielhaus, Daniel F. Külzer +11

As cellular networks evolve towards the 6th generation, machine learning is seen as a key enabling technology to improve the capabilities of the network. Machine learning provides…