METHOD AND APPARATUS FOR TRANSFERRING NETWORK INFORMATION TO AI/ML APPLICATION IN WIRELESS COMMUNICATION SYSTEM

WIPO Patent Application WO/2023/214821

A1

Disclosed is a 6G communication system for achieving a high data transmission rate and a super-low latency time after 4G and 5G communication systems. A method performed by a terminal in a wireless communication system comprises steps of transmitting, to an access and mobility management function (AMF), an identifier for an application and network state parameter list for the application, wherein the application is an artificial intelligence (AI) application or a machine learning (ML) application; receiving, from the AMF, authentication information for a network state information request or a network state analysis information request and address information on a first network entity collecting network state information; transmitting, to the first network entity based on the address information, the network state information request or the network state analysis information request based on the authentication information; receiving, from the first network entity, network state information corresponding to the network state information request or network state analysis information corresponding to the network state analysis information request; and selecting, an AI or ML model based on at least one of the network state information or the network state analysis information.

PARK JUNGSHIN (KR)
KIM HYESUNG (KR)
SUH DONGEUN (KR)

PCT/KR2023/006116

November 09, 2023

May 04, 2023

Click for automatic bibliography generation  

SAMSUNG ELECTRONICS CO LTD (KR)

H04W24/02; G06N20/00; H04L41/147; H04W24/10

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"3rd Generation Partnership Project; Technical Specification Group Services and System Aspects; Architecture enhancements for 5G System (5GS) to support network data analytics services (Release 17)", 3GPP STANDARD; 3GPP TS 23.288, 3RD GENERATION PARTNERSHIP PROJECT (3GPP), MOBILE COMPETENCE CENTRE ; 650, ROUTE DES LUCIOLES ; F-06921 SOPHIA-ANTIPOLIS CEDEX ; FRANCE, no. V17.4.0, 23 March 2022 (2022-03-23), Mobile Competence Centre ; 650, route des Lucioles ; F-06921 Sophia-Antipolis Cedex ; France, pages 1 - 205, XP052144750
ANONYMOUS: "5G Smart Devices Supporting Network Slicing ", WHITE PAPER NGMN ALLIANCE VERSION: 1.1, 15 December 2020 (2020-12-15), XP093105715, Retrieved from the Internet [retrieved on 20231127]
OPPO: "KI#2, Sol#24: Update to clarify Federated Learning in 5GC", 3GPP DRAFT; S2-2005554, 3RD GENERATION PARTNERSHIP PROJECT (3GPP), MOBILE COMPETENCE CENTRE ; 650, ROUTE DES LUCIOLES ; F-06921 SOPHIA-ANTIPOLIS CEDEX ; FRANCE, vol. SA WG2, no. Elbonia; 20200819 - 20200901, 13 August 2020 (2020-08-13), Mobile Competence Centre ; 650, route des Lucioles ; F-06921 Sophia-Antipolis Cedex ; France , XP051920381
KALOXYLOS ALEXANDROS, GAVRAS ANASTASIUS, CAMPS MUR DANIEL, GHORAISHI MIR, HRASNICA HALID: "AI and ML – Enablers for Beyond 5G Networks", ZENODO, 1 December 2020 (2020-12-01), XP055906766, Retrieved from the Internet [retrieved on 20220329], DOI: 10.5281/zenodo.4299895

YOON & LEE INTERNATIONAL PATENT & LAW FIRM (KR)

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