US 12,388,717 B2
Method and device for selecting service in wireless communication system
Yoonseon Han, Suwon-si (KR); and Jungshin Park, Suwon-si (KR)
Assigned to Samsung Electronics Co., Ltd., Suwon-si (KR)
Appl. No. 17/904,938
Filed by Samsung Electronics Co., Ltd., Suwon-si (KR)
PCT Filed Feb. 18, 2021, PCT No. PCT/KR2021/002070
§ 371(c)(1), (2) Date Aug. 24, 2022,
PCT Pub. No. WO2021/172810, PCT Pub. Date Sep. 2, 2021.
Claims priority of application No. 10-2020-0023832 (KR), filed on Feb. 26, 2020.
Prior Publication US 2023/0090022 A1, Mar. 23, 2023
Int. Cl. H04L 41/14 (2022.01); H04L 41/16 (2022.01); H04L 41/34 (2022.01); H04L 41/50 (2022.01); H04L 43/06 (2022.01)
CPC H04L 41/145 (2013.01) [H04L 41/16 (2013.01); H04L 41/34 (2022.05); H04L 41/5058 (2013.01); H04L 43/06 (2013.01)] 4 Claims
OG exemplary drawing
 
1. A method of a network data analytics function (NWDAF) in a wireless communication system, the method comprising:
receiving, from a network function (NF), a request message for analytics information;
identifying that federated learning (FL) is required;
transmitting, to a network repository function (NRF), a discovery message for discovering at least another NWDAF for FL that supports service related FL, wherein the discovery message comprises information about FL capability;
receiving, from the NRF, a response message with respect to the discovery message, wherein the response message with respect to the discovery message comprises information about the at least another NWDAF for FL;
selecting a target NWDAF for FL;
transmitting, to the target NWDAF for FL, a request message comprising analytics identifier (ID), machine learning (ML) model ID, and a ML model;
receiving, from the target NWDAF for FL, information about the ML model which is trained by the target NWDAF for FL; and
obtaining an integrated model based on the information about the model which is trained by the target NWDAF for FL.