Verfahren, Computerprogramme und Gerät zum Trainieren eines Maschinenlernmodells

EP4746318 20. Mai 2026

Anmelder: Deutsche Telekom AG 🇩🇪

Details

Veröffentlichungs-Nr.
EP4746318
Anmeldetag
15. November 2024
Veröffentlichung
20. Mai 2026
Rechtsraum
EP
Offizieller Volltext

Abstract

Examples relate to methods, computer programs, and apparatuses for training a machine learning model to predict a radio quality for user equipment, UE, at a location covered by a mobile communication system and for predicting a radio quality for user equipment at a location covered by a mobile communication system. The method (10) for training a machine learning model to predict a radio quality for user equipment, UE, at a location covered by a mobile communication system comprises generating (11) training data with basic feature training sets, which are based on measurements conducted at positions in a serving radio cell, additional feature sets comprising information about radio parameters of the serving radio cell and/or one or more neighboring radio cells, geometrical features of measurement positions, wherein the geometrical features comprise distances being determining for a radio propagation channel between the serving radio cell and a measurement position, and radio qualities obtained at measurement positions. The method (20) further comprises training (12) the machine learning model with the training data.

Anmelder

Firma
Deutsche Telekom AG
Land
🇩🇪 Deutschland
🇩🇪 Deutsche Telekom

Deutsches Telekommunikationsunternehmen mit Sitz in Bonn. Bietet Festnetz- und Mobilfunkdienste, Internetzugang sowie IT- und Netzwerklösungen für Privat- und Geschäftskunden im In- und Ausland an.

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