Richtlinienbasierte Leistungsverwaltung für Hochskalierbare O-Ran-Netzwerke
Anmelder: Mavenir US Inc., Mavenir Systems, Inc. 🇺🇸
Details
- Veröffentlichungs-Nr.
- EP4418718
- Aktenzeichen
- EP24157602
- Anmeldetag
- 14. Februar 2024
- Veröffentlichung
- 27. August 2025
- Erteilung
- 27. August 2025
- Rechtsraum
- EP
- IPC
- H04W24/02G06N20/00
Abstract
A method for enhanced radio resource management of radio access network (RAN) based on machine-learning-based technique includes: deploying a trained machine-learning-based model trained on a plurality of RAN-related parameters for a selected user equipment (UE) on the RAN, including i) plurality of trained weights for determining scheduling priority of the selected UE, ii) a network operator policy influencing scheduling priority of the selected UE, and iii) at least one of Packet Delay Budget (PDB), a target guaranteed bit rate (GBR), and proportional fair (PF) metric of the selected UE; computing, at the RIC, a difference between two consecutive overall error functions for PDB, GBR, and PF calculated based on corresponding observed values at two consecutive sampling time points; and updating, at the RIC, the plurality of weights based on the difference between the first and second overall error functions.
Anmelder
- Firmen
- Mavenir US Inc.
Mavenir Systems, Inc. - Land
- 🇺🇸 USA
US-amerikanisches Telekommunikationsunternehmen, entwickelt Software für Mobilfunknetze, darunter Lösungen für 5G, Cloud-native Netzwerke und Netzwerkvirtualisierung.
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Studio Torta S.p.A
Studio Torta S.p.A · Treviso