公开(公告)号：US20230068143A1

公开(公告)日：2023-03-02

申请号：US17961417

申请日：2022-10-06

Applicant: Samsung Electronics Co., Ltd.

Inventor： Harikrishna VOBILISHETTI ,  Sridharan Bharathi RAMULU ,  Swaraj KUMAR ,  Saumil MANIAR ,  Vishal MURGAI

IPC: H04W72/02 ,  H04W72/04 ,  H04W72/08

Abstract: The present disclosure relates to method and resource allocation entity for allocating Physical Uplink Control Channel (PUCCH) resources to User Equipments (UEs) in a communication network. The method comprises identifying one or more PUCCH resource pools to be allocated to cell camped on by one or more UEs, based on one or more first parameters associated with cell, using machine learning model. Further, the method comprises identifying one or more PUCCH resources to be allocated to each UE, based on one or more PUCCH resources pools and one or more second parameters associated with corresponding UE, using machine learning model. The method comprises allocating one or more PUCCH resource sets from plurality of PUCCH resource sets to each UE, based on one or more PUCCH resources identified for each UE and one or more parameters of plurality of PUCCH resource sets.

公开(公告)号：US20240007874A1

公开(公告)日：2024-01-04

申请号：US18348039

申请日：2023-07-06

Applicant: Samsung Electronics Co., Ltd.

Inventor： Vishal MURGAI ,  Swaraj KUMAR ,  Sukhdeep SINGH

IPC: H04W24/02

CPC classification number: H04W24/02

Abstract: Embodiments herein disclose a method and a device for embedding neural networks as a matrix for a network device in wireless networks. The method includes receiving s from the network device. Further, the method also includes determining the KPI among the plurality of KPIs as target KPIs that related to a network anomaly using a ML model. Further, the method also includes determining a correlation of the target KPI with the plurality of KPIs for the network anomaly using the ML model. Further, the method also includes determining the matrix indicating a relation of the target KPI with the plurality of KPIs. Furthermore, the method includes optimizing a resource of the network device by embedding the matrix in the network device.

公开(公告)号：US20230007526A1

公开(公告)日：2023-01-05

申请号：US17857483

申请日：2022-07-05

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Vasanth KANAKARAJ ,  Vishal MURGAI ,  Issaac KOMMINENI ,  Sridharan NATARAJAN ,  Shreyanshu AGARWAL ,  P Keerthi PRIYA

IPC: H04W28/02 ,  H04L47/2425 ,  H04L43/026

Abstract: The disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. The method comprises: receiving a flow index corresponding to a plurality of applications available at an electronic device, wherein the flow index represents a type of the flow, and a priority of the flow; determining whether connection for the data transmission exists between the electronic device and an internet server based on the flow index; performing one of regulating the flow based on the flow index in response to determining that the connection for the data transmission exists between the electronic device and the internet server, and discarding the flow index received from the electronic device for regulation of the flow in response to determining that the connection for the data transmission does not exists.

公开(公告)号：US20240291725A1

公开(公告)日：2024-08-29

申请号：US18434938

申请日：2024-02-07

Applicant: Samsung Electronics Co., Ltd.

Inventor： Vishal MURGAI ,  Swaraj KUMAR ,  Srihari Das SUNKADA GOPINATH ,  Gihyun KIM ,  Hyunho LEE

IPC: H04L41/147 ,  G06N5/022 ,  H04L41/16

CPC classification number: H04L41/147 ,  G06N5/022 ,  H04L41/16

Abstract: The disclosure describes a method and system for dynamic frequency scaling of multi-core processor in wireless communication networks. The method comprising: transmitting, by a network node (NN), core-load data and a plurality of key indicators of each core group of a plurality of core groups in the multi-core processor to a central management entity (CME); receiving, by the NN, a core-load prediction model associated for each core group from the CME; determining, by the NN, an estimated core-load data for each core group using the associated core-load prediction model and determining, by the NN, a maximum estimated core-load data among the estimated core-load data of each core group; and determining, by the NN, an optimum multi-core processor frequency for the network node based on the maximum estimated core-load data.

公开(公告)号：US20230118253A1

公开(公告)日：2023-04-20

申请号：US17992302

申请日：2022-11-22

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Vishal MURGAI ,  Issaac KOMMINENI ,  Mohan Rao GOLI ,  Srihari Das SUNKADA GOPINATH ,  Swaraj KUMAR ,  Mallappa PRABHUSWAMY ,  Sukhdeep SINGH

IPC: H04W52/02 ,  H04W24/10 ,  H04W28/08

Abstract: A method implemented at one or more base stations for a power management of the one or more base stations in a wireless communication network is disclosed. The method includes transmitting, by the one or more base stations, a plurality of Key Performance Indicator (KPI) parameters associated with the one or more base stations to a federal server controller. The method includes receiving, by the one or more base stations from the federal server controller, a KPI relationship predicting a future load based on the plurality of KPI parameters associated with the one or more base stations. The method includes adjusting, by the one or more base stations, a Central Processing Unit (CPU) frequency associated with the one or more base stations autonomously based on the KPI relationship for managing the future load associated with the one or more base stations.