Indoor localization with robust global channel charting: A time-distance-based approach

M Stahlke, G Yammine, T Feigl… - … Machine Learning in …, 2023‏ - ieeexplore.ieee.org
Fingerprinting (FP) significantly improves the indoor localization performance in non-line-of-
sight-dominated areas. However, its deployment and maintenance is cost-intensive as it …

Velocity-based channel charting with spatial distribution map matching

M Stahlke, G Yammine, T Feigl… - IEEE Journal of …, 2024‏ - ieeexplore.ieee.org
Radio fingerprinting (FP) technologies improve localization performance in challenging non-
line-of-sight environments. However, FP is expensive as its life cycle management requires …

Channel charting based beam SNR prediction

P Kazemi, T Ponnada, H Al-Tous… - 2021 Joint European …, 2021‏ - ieeexplore.ieee.org
We consider machine learning for intra cell beam handovers in mmWave 5GNR systems by
leveraging Channel Charting (CC). We develop a base station centric approach for …

Learning Privacy-Preserving Channel Charts

P Agostini, Z Utkovski, I Bjelakovic… - 2023 57th Asilomar …, 2023‏ - ieeexplore.ieee.org
Channel charting (CC) employs dimensionality reduction to channel state information (CSI)
collected in multi-antenna wireless systems to provide a low-dimensional repre-sentation of …

A belief propagation solution for beam coordination in mmWave vehicular networks

ZL Fazliu, F Malandrino… - IEEE Transactions on …, 2022‏ - ieeexplore.ieee.org
Millimeter-wave communication is widely seen as a promising option to increase the
capacity of vehicular networks, where it is expected that connected cars will soon need to …

[PDF][PDF] Kazemi, Parham; Ponnada, Tushara; Al-Tous, Hanan; Liang, Ying-Chang; Tirkkonen, Olav Channel Charting Based Beam SNR Prediction

P Kazemi - 2021‏ - scholar.archive.org
We consider machine learning for intra cell beam handovers in mmWave 5GNR systems by
leveraging Channel Charting (CC). We develop a base station centric approach for …