公开(公告)号：US20230031470A1

公开(公告)日：2023-02-02

申请号：US17863576

申请日：2022-07-13

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Sukhdeep SINGH ,  Joseph THALIATH ,  Vivek SAPRU ,  Sandeep Kumar JAISAWAL ,  Naman AGARWAL ,  Seungil YOON ,  Hoejoo LEE

IPC: H04L41/16 ,  G06N20/00 ,  H04L41/5006 ,  H04W48/18 ,  G06K9/62

Abstract: The embodiments herein disclose a method for managing machine learning (ML) services in a wireless communication network. The method includes: storing a plurality of ML packages, each executing a network service request; receiving a trigger based on the network service request from a server; determining a plurality of parameters corresponding to the network service request, on receiving the trigger from the server; determining an ML package based on the trigger and the plurality of parameters corresponding to the network service request; and deploying the determined at least one ML package for executing the network service request.

公开(公告)号：US20250053868A1

公开(公告)日：2025-02-13

申请号：US18752263

申请日：2024-06-24

Applicant: Samsung Electronics Co., Ltd.

Inventor： Sandeep Kumar JAISAWAL ,  Sukhdeep SINGH ,  Joseph THALIATH ,  Seungil YOON ,  Peter Moonki HONG

IPC: G06N20/00

Abstract: Methods for optimizing training of a data driven model in a wireless network by data driven model validation controller running in electronic device. The method may include obtaining and selecting a candidate data driven model from a plurality of candidate data driven models. The method may include determining whether the selected candidate data driven model meets a predefined prediction. The method may include deploying the selected candidate data driven model to a target deployment environment upon determining that the selected candidate data driven model meets the prediction. The method may include sending the selected candidate data driven model to a data driven model optimizer running in the electronic device for tuning a hyper-parameter and the data driven technique running in the data driven model upon determining that the selected candidate data driven model does not meet the prediction.

公开(公告)号：US20240314585A1

公开(公告)日：2024-09-19

申请号：US18427189

申请日：2024-01-30

Applicant: Samsung Electronics Co., Ltd.

Inventor： Joseph THALIATH ,  Jaijin LIM ,  Seungil YOON ,  Sukhdeep SINGH ,  Sandeep Kumar JAISAWAL

IPC: H04W24/02 ,  H04W24/10

CPC classification number: H04W24/02 ,  H04W24/10

Abstract: Various embodiments herein achieve method for optimizing a performance of a customer premises equipment (CPE) in a wireless network by a network apparatus. The method includes receiving a measurement information from at least one CPE. Further, the method includes receiving a measurement information from at least one RAN node. Further, the method includes detecting whether a performance associated with at least one CPE is degraded based on the received measurement information from the at least one CPE. Further, the method includes identifying a RAN UE ID for the at least one CPE whose performance is degraded by correlating the measurement information received from the at least one CPE and the measurement information received from the at least one RAN node. Further, the method includes applying an action based on the identified RAN UE ID.