WO2023136833 - GROUP MACHINE LEARNING (ML) MODELS ACROSS A RADIO ACCESS NETWORK
National phase entry:
Publication Number
WO/2023/136833
Publication Date
20.07.2023
International Application No.
PCT/US2022/012545
International Filing Date
14.01.2022
Title **
[English]
GROUP MACHINE LEARNING (ML) MODELS ACROSS A RADIO ACCESS NETWORK
[French]
MODÈLES D'APPRENTISSAGE AUTOMATIQUE (ML) DE GROUPES DANS UN RÉSEAU D'ACCÈS RADIO
Applicants **
NOKIA SOLUTIONS AND NETWORKS OY
NOKIA OF AMERICA CORPORATION
Inventors
BEDEKAR, Anand
SINGH, Vaibhav
KADADI, Shivanand
MIHAILESCU, Claudiu
BOVIZ, Dora
HE, Jun
Application details
| Total Number of Claims/PCT | * |
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| Number of Multi-Dependent Claims | * |
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International Searching Authority |
USPTO
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| Recordal of a Change of the Applicant's Name/Address |
Change of Applicant's Name and Address
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| Type of Assignment |
The Standard Agent's Assignment
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| Applicant's Legal Status |
Legal Entity
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| Entry into National Phase under |
Chapter I
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| Patent Delivery |
Send the Letters Patent by Courier
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| Translation |
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Quotation for National Phase entry
| Country | Stages | Total | |
|---|---|---|---|
| China | Filing, Examination, Granting | 2228 | |
| EPO | Filing, Examination, Granting | 14418 | |
| Japan | Filing, Examination, Granting | 2358 | |
| South Korea | Filing, Examination, Granting | 2313 | |
| USA | Filing, Examination, Granting | 4310 |
Total:
25,627
The term for entry into the National Phase has expired. This quotation is for informational purposes only
Abstract[English]
Systems, methods, and software for a Radio Access Network (RAN). In one embodiment, a system identifies a plurality of cells within the RAN, and groups the cells into cell groups. The system performs a training process to train group Machine-Learning (ML) models for the cell groups based on training data for the cell groups, and evaluates a performance of the group ML models for the cell groups based on evaluation data for the cell groups. The system provides the group ML models for the cell groups to a RAN management system or the like when the performance of the group ML models satisfies a performance threshold.[French]
L'invention concerne des systèmes, des procédés et un logiciel pour un réseau d'accès radio (RAN). Dans un mode de réalisation, un système identifie une pluralité de cellules dans le RAN, et groupe les cellules en groupes de cellules. Le système effectue un processus d'apprentissage pour entraîner des modèles d'apprentissage automatique (ML) de groupes pour les groupes de cellules sur la base de données d'apprentissage pour les groupes de cellules, et évalue une performance des modèles ML de groupes pour les groupes de cellules sur la base de données d'évaluation pour les groupes de cellules. Le système fournit les modèles ML de groupes pour les groupes de cellules à un système de gestion de RAN ou similaire lorsque les performances des modèles ML de groupes satisfont un seuil de performance.