Verfahren, Computerprogramme und Gerät zum Trainieren eines Maschinenlernmodells
Anmelder: Deutsche Telekom AG 🇩🇪
Details
- Veröffentlichungs-Nr.
- EP4746318
- Anmeldetag
- 15. November 2024
- Veröffentlichung
- 20. Mai 2026
- Rechtsraum
- EP
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
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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