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20222026
most citedBenchmarking Quantum Reinforcement Learning

3 citations · 4 across the 9 of their papers we have counts for

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5 papers · 1 filter

eess.SP2026

The S-ICDF Dataset: Sionna-Simulated Dynamic Interference Characterization and Direction Finding

Christian Wielenberg, Lucas Heublein, Jonathan Ott +8

Jamming and spoofing threaten wireless and satellite navigation by disrupting or manipulating radio frequency (RF) signals, undermining availability, integrity, and trust. Robust i…

eess.SP2026

Resilient Channel Charting Under Varying Radio Link Availability

Jonas Pirkl, Jonathan Ott, Maximilian Stahlke +3

Channel charting (CC) has become a key technology for RF-based localization, enabling unsupervised radio fingerprinting, even in non line of sight scenarios, with a minimum of refe…

eess.SP2025

Hardware Limitations and Optimization Approach in 1-Bit RIS Design at 28 GHz

Hossein Rezaei, Mehmet Emin Arslan, George Yammine +2

Reconfigurable intelligent surfaces (RIS) have emerged as a transformative technology for electromagnetic (EM) wave manipulation, offering unprecedented control over wave reflectio…

eess.SP2025

Passive Channel Charting: Locating Passive Targets using a UWB Mesh

Raffael Poeggel, Maximilian Stahlke, Jonas Pirkl +4

Fingerprint-based passive localization enables high localization accuracy using low-cost UWB IoT radio sensors. However, fingerprinting demands extensive effort for data acquisitio…

eess.SP2022

Indoor Localization with Robust Global Channel Charting: A Time-Distance-Based Approach

Maximilian Stahlke, George Yammine, Tobias Feigl +2

Fingerprinting-based positioning significantly improves the indoor localization performance in non-line-of-sight-dominated areas. However, its deployment and maintenance is cost-in…