Ml-Basierte Planung mit Pfadinferenz pro Signal in einem Drahtlosen Kommunikationssystem
Anmelder: Nokia Solutions and Networks Oy 🇫🇮
Details
- Veröffentlichungs-Nr.
- EP4742797
- Anmeldetag
- 22. Oktober 2025
- Veröffentlichung
- 13. Mai 2026
- Rechtsraum
- EP
- IPC
- H04W72/0453, H04W72/121(北京邮电大学) [A] 1-15
Abstract
The present subject matter relates to a method comprising: determining, for a specific time unit, an available set of frequency resource units, for each signal path of multiple signal paths, determine at least one feature vector descriptive of a set of devices, the set of frequency resource units and the signal path, perform per feature vector of the at least one feature vector an inference pass of a reinforcement machine learning agent model to obtain an individual output using the feature vector as input, and use the at least one individual output to determine an individual scheduling configuration of the set of frequency resource units to the set of devices; using the individual scheduling configurations to determine a scheduling decision to assign the set of frequency resource units to the set of devices, such that a frequency resource unit can be assigned to one or more signal paths.
Anmelder
- Firma
- Nokia Solutions and Networks Oy
- Land
- 🇫🇮 Finnland
Finnisches Unternehmen der Nokia-Gruppe, das Mobilfunknetzwerktechnik, Telekommunikationsinfrastruktur sowie zugehörige Dienstleistungen für Netzbetreiber weltweit entwickelt.
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