MACHINE LEARNING IN RADIO ACCESS NETWORKS

Patent №

US 11,617,094

Granted

2023-03-28

Filed 2020

Owner

NOKIA TECHNOLOGIES OY

Lab

AI components

1

ml

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

15930634

According to an example aspect of the present invention, there is provided a method comprising, receiving, from a first data endpoint of a radio access network, a representation of a local model of the first data endpoint of the radio access network, determining multiple common models for endpoints of the radio access network, selecting, based on the representation of the local model of the first data endpoint, one of said multiple common models for the first data endpoint and transmitting the selected common model to the first data endpoint, any other data endpoint or any other external system which utilizes the selected common model.

Machine learningH04L 41/145H04W 24/02G06N 3/0442G06N 3/045G06N 3/0464G06N 3/08G06N 3/098G06N 3/0985+8 more

AI classification

Machine learning0.65
AI hardware0.26
Planning0.17
Knowledge representation0.05
Vision0.02
Natural language0.01
Speech0.00
Evolutionary computation0.00

Ownership

NOKIA TECHNOLOGIES OY

assignment · 526690416

Assignors

HONKASALO, ZHI-CHUN, RAISANEN, VILHO, ALCANTARA, CARLOS, SHEHATA, AHMED

On an employer assignment, the assignors are typically the inventors.

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