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公开(公告)号:US20230284254A1
公开(公告)日:2023-09-07
申请号:US17832217
申请日:2022-06-03
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Jagadishchandra kodankiri Rai , Godavarti Satya Venkata Uma Kishore , Vimal Bastin Edwin Joseph
CPC classification number: H04W72/1231 , H04W16/14
Abstract: A method may include determining a dynamic spectrum sharing (DSS) policy in a two stage approach. In a stage, the method may include determining radio resource requirements of each user equipment (UE) among active UEs using an individual UE resource scaling factor. In another stage, the method may include determining the DSS policy based on cumulative radio resource requirements of the active UEs determined based on the individual UE resource scaling factor, and DSS scaling factors.
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公开(公告)号:US10257873B2
公开(公告)日:2019-04-09
申请号:US15410940
申请日:2017-01-20
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Buseop Jung , Vimal Bastin Edwin Joseph , Hyuk Kang , Inji Jin
Abstract: A method and electronic device for providing a tethering service is provided. The electronic device of the present disclosure includes a communication interface comprising communication circuitry and a processor configured to establish a direct connection with at least one external electronic device located in operable proximity of the electronic device using the communication interface, to check a predetermined input, to establish a session for connecting the at least one external device to at least one communication network via the electronic device based on the predetermined input, and to connect the at least one external electronic device to the at least one communication network via the electronic device during at least part of the direct connection session.
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公开(公告)号:US11374876B2
公开(公告)日:2022-06-28
申请号:US17063627
申请日:2020-10-05
Applicant: Samsung Electronics Co., Ltd.
Inventor: Vimal Bastin Edwin Joseph , Karthikeyan Subramaniam , Parvathi Mahesh Hedathri , Peeyus Pal , Karthikeyan Narayanan
IPC: H04L47/83 , H04L47/72 , H04L41/0893 , H04L41/16 , G06N5/04 , G06K9/62 , H04L41/0896 , H04L47/70
Abstract: This disclosure relates to deployment of additional workload in the NFV-MANO to efficiently utilize resources during a lean workload period of Virtual Network Functions (VNFs) associated with an intelligent cloud platform. The method comprises measuring, over a time period, a current resource utilization level of one or more rendered VNFs. Thereafter, forecasting future resource utilization for the time period based on predictive analysis criteria and the current resource utilization level of the one or more VNFs. The method further comprises a machine learning based inference for determining whether the forecast future resource utilization for said time period is less than a determined optimal resource utilization threshold value of the one or more VNFs. Thereafter, resources of the one or more VNFs to one or more additional workloads are allocated based on the determination of the future resource utilization.
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