A unified parametric framework identifies active satellites and reconstructs RSS fields from measurements by linking beam geometry to spatial signal formation with adaptive complexity control.
A technical comparison of three low earth orbit satellite constellation systems to provide global broadband
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
citation-role summary
background 1
citation-polarity summary
years
2026 2verdicts
UNVERDICTED 2roles
background 1polarities
background 1representative citing papers
The paper overviews attention-based learning methods for spectrum cartography in LEO satellite networks to enable adaptive fusion of heterogeneous measurements for inference and resource allocation.
citing papers explorer
-
Beam-Aware Radio Map Estimation With Physics-Consistent Parametric Modeling for Unknown Multiple Satellites
A unified parametric framework identifies active satellites and reconstructs RSS fields from measurements by linking beam geometry to spatial signal formation with adaptive complexity control.
-
Learning-Based Spectrum Cartography in Low Earth Orbit Satellite Networks: An Overview
The paper overviews attention-based learning methods for spectrum cartography in LEO satellite networks to enable adaptive fusion of heterogeneous measurements for inference and resource allocation.