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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.
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公开(公告)号:US20220330063A1
公开(公告)日:2022-10-13
申请号:US17729629
申请日:2022-04-26
Applicant: Samsung Electronics Co., Ltd.
Inventor: Joseph THALIATH , Deepanshu GAUTAM , Avinash BHAT , Sukhdeep SINGH
Abstract: The disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. A method performed by an operation, administration and maintenance (OAM) controller for facilitating continuous integration and continuous deployment (CI-CD) in a wireless communication system is provided. The method includes transmitting, to a network slice management service (NSMS) consumer, a request to trigger a test upgraded technique for a network function (NF), wherein the request to trigger the test upgraded technique comprises at least one parameter indicated as part of a test network slice information object class (IOC); receiving, from the NSMS consumer, a trigger test response based on the request to trigger the test upgraded technique; and configuring at least one user equipment (UE) with at least one test slice identifier based on the trigger test response.
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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.
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公开(公告)号:US20240046151A1
公开(公告)日:2024-02-08
申请号:US18305712
申请日:2023-04-24
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Sukhdeep SINGH , Vivek SAPRU , Joseph THALIATH , Ganesh Kumar THANGAVEL , Ashish JAIN , Seungil YOON , Hoejoo LEE , Hunje YEON
IPC: G06N20/00
CPC classification number: G06N20/00
Abstract: A system and/or method for automated ML model retraining by an electronic device. The system and/or method may include one or more of: running a first ML model and a second ML model, predicting an accuracy degradation of the first ML model using the second ML model, determining whether the predicted accuracy degradation meets a pre-defined threshold, and/or retraining the first ML model when the predicted accuracy degradation meets the pre-defined threshold.
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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
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.
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