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    AI/ML EMPOWERED HIGH ORDER MODULATION
    1.
    发明公开
    AI/ML EMPOWERED HIGH ORDER MODULATION 审中-公开

    公开(公告)号：US20240187295A1

    公开(公告)日：2024-06-06

    申请号：US18456249

    申请日：2023-08-25

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Pranav Madadi ,  Joonyoung Cho ,  Jianzhong Zhang

    IPC: H04L27/26

    CPC classification number: H04L27/2639 ,  H04L27/2695

    Abstract: A two-dimensional constellation for data signals having improved bitwise mutual information of data points is based on a signal-to-noise ratio (SNR) and a code rate where, based on the SNR, data bits are mapped to pre-defined in-phase and quadrature values. The in-phase and quadrature values denote points in the two-dimensional space such that the efficiency of bitwise mutual information is adapted based on the SNR. The mapping is preferably subject to a constraint selected from one of quadrant symmetry Lagrangian (QSL), quadrant symmetry constraint (QSC), or rectangular structure constraint (RSC).

    Root cause analysis and automation using machine learning
    2.
    发明授权
    Root cause analysis and automation using machine learning 有权

    公开(公告)号：US11496353B2

    公开(公告)日：2022-11-08

    申请号：US15929951

    申请日：2020-05-29

    Applicant: Samsung Electronics Co., Ltd

    Inventor： Vikram Chandrasekhar ,  Yongseok Park ,  Shan Jin ,  Pranav Madadi ,  Eric Johnson ,  Jianzhong Zhang ,  Russell Ford

    IPC: H04L41/0631 ,  H04L41/16 ,  G06N5/04 ,  G06N20/00

    Abstract: A method for discovering and diagnosing network anomalies. The method includes receiving key performance indicator (KPI) data and alarm data. The method includes extracting features based on samples obtained by discretizing the KPI data and the alarm data. The method includes generating a set of rules based on the features. The method includes identifying a sample as a normal sample or an anomaly sample. In response to identifying the sample as the anomaly sample, the method includes identifying a first rule that corresponds to the sample, wherein the first rule indicates symptoms and root causes of an anomaly included in the sample. The method further includes applying the root causes to derive a root cause explanation of the anomaly and performing a corrective action to resolve the anomaly based on the first rule.

    Functional architecture and interface for non-real-time ran intelligent controller
    3.
    发明授权
    Functional architecture and interface for non-real-time ran intelligent controller 有权

    公开(公告)号：US11838787B2

    公开(公告)日：2023-12-05

    申请号：US17236895

    申请日：2021-04-21

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Caleb K. Lo ,  Pranav Madadi ,  Jeongho Jeon ,  Joonyoung Cho ,  Junhyuk Song

    IPC: H04W28/02 ,  G06F9/50

    CPC classification number: H04W28/0263 ,  G06F9/5083 ,  H04W28/0284

    Abstract: A service management and orchestration (SMO) entity enabling a functional split between a non-real-time (RT) radio access network (RAN) intelligent controller (RIC) and an external artificial intelligence (AI)/machine learning (ML) server will, during a data collection phase, utilize the SMO entity and the non-RT RIC to collect and process RAN data and non-RAN data and, during a data transfer phase, transfer processed RAN and non-RAN data from the SMO entity to an external AI/ML server via an interface. During a training model input phase, the SMO entity receives a trained AI/ML model, metadata, and training results from the external AI/ML server via an interface and, during a configuration phase, the SMO entity uses the trained AI/ML model within the SMO entity and the non-RT RIC to transfer configuration parameters to a near-RT RIC.

    SENSING RESOURCE CONFIGURATION AND COEXISTENCE HANDLING IN CELLULAR SYSTEMS
    4.
    发明公开
    SENSING RESOURCE CONFIGURATION AND COEXISTENCE HANDLING IN CELLULAR SYSTEMS 审中-公开

    公开(公告)号：US20230362898A1

    公开(公告)日：2023-11-09

    申请号：US18190882

    申请日：2023-03-27

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Jeongho Jeon ,  Ebrahim MolavianJazi ,  Caleb K. Lo ,  Pranav Madadi ,  Daoud Burghal ,  Joonyoung Cho ,  Jianzhong Zhang

    IPC: H04W72/0446 ,  H04W72/0453 ,  H04W72/0457

    CPC classification number: H04W72/0446 ,  H04W72/0453 ,  H04W72/0457

    Abstract: A time domain resource configuration indicates a time domain resource for sensing operations by a user equipment, and a frequency domain resource configuration indicates a bandwidth part (BWP) for the sensing operations. The user equipment performs the sensing operations using the indicated time domain resource and the indicated bandwidth part. The time domain resource configuration may include a sensing type indicator S for the time domain resource for sensing operations, and may indicate that dynamic triggering of sensing is allowed. The BWP for the sensing operations may comprise BWP(s) selectively activated for the sensing operations, and may indicate BWP(s) that overlap a BWP used for cellular communication. Assistance information for interference between sensing operations and cellular communication may be transmitted by the user equipment, which may subsequently receive a configuration for coexistence of the sensing operations and the cellular communication.

    METHOD AND APPARATUS FOR SUPPORT OF MACHINE LEARNING OR ARTIFICIAL INTELLIGENCE TECHNIQUES FOR CSI FEEDBACK IN FDD MIMO SYSTEMS
    7.
    发明申请
    METHOD AND APPARATUS FOR SUPPORT OF MACHINE LEARNING OR ARTIFICIAL INTELLIGENCE TECHNIQUES FOR CSI FEEDBACK IN FDD MIMO SYSTEMS 有权

    公开(公告)号：US20220338189A1

    公开(公告)日：2022-10-20

    申请号：US17658977

    申请日：2022-04-12

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Pranav Madadi ,  Jeongho Jeon ,  Joonyoung Cho ,  Qiaoyang Ye

    IPC: H04W72/04 ,  H04W72/08

    Abstract: Machine learning (ML) assisted channel state information (CSI) reporting or ML assisted CSI prediction includes receiving CSI reporting configurations that include indications that enable or disable at least one of: ML-assisted CSI prediction and artificial intelligence channel feature information (AI-CFI) reporting. ML model training is performed or trained ML model parameters are received, and CSI reference signals corresponding to at least one of the CSI reporting configurations are received. If ML-assisted CSI prediction is enabled, the CSI reporting configurations further include: a timing offset for future CSI prediction, and ML configurations including indication of an ML model used for the ML-assisted CSI prediction. If AI-CFI reporting is enabled, the CSI reporting configurations further include: a configuration for a report of the AI-CFI, and ML configurations including indication of an ML model used for the ML assisted-CSI feedback determination.

    CONFIGURATION MANAGEMENT AND ANALYTICS IN CELLULAR NETWORKS
    8.
    发明申请
    CONFIGURATION MANAGEMENT AND ANALYTICS IN CELLULAR NETWORKS 有权

    公开(公告)号：US20210351973A1

    公开(公告)日：2021-11-11

    申请号：US17192780

    申请日：2021-03-04

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Russell Douglas Ford ,  Mandar N. Kulkarni ,  Pranav Madadi ,  Vikram Chandrasekhar ,  Yan Xin ,  Sangkyu Park ,  Hakyung Jung

    IPC: H04L12/24 ,  H04L12/26

    Abstract: Apparatuses and methods for identifying network anomalies. A method includes determining a cumulative anomaly score over a predefined time range based on a subset of historical PM samples and determining an anomaly ratio of a first time window and a second time window, based on the cumulative anomaly score. The method also includes determining one or more anomaly events coinciding with CM parameter changes based on the anomaly ratio; collating the PM, alarm, and CM data into a combined data set based on matching fields and timestamps; generating a set of rules linking one or more CM parameter changes and the collated data to anomaly events; and generating root cause explanations for CM parameter changes that are linked to anomaly events.

    METHOD AND APPARATUS FOR CSI REPORT CONFIGURATION FOR CSI PREDICTIONS IN ONE OR MORE DOMAINS
    9.
    发明公开
    METHOD AND APPARATUS FOR CSI REPORT CONFIGURATION FOR CSI PREDICTIONS IN ONE OR MORE DOMAINS 审中-公开

    公开(公告)号：US20230337036A1

    公开(公告)日：2023-10-19

    申请号：US18300709

    申请日：2023-04-14

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Caleb K. Lo ,  Gilwon Lee ,  Jeongho Jeon ,  Pranav Madadi

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

    CPC classification number: H04W24/10 ,  H04W24/08 ,  H04W24/02

    Abstract: Apparatuses and methods for a CSI report configuration for CSI predictions in one or more domains. A method performed by a user equipment (UE) includes transmitting capability information indicating capability of the UE to support machine learning (ML) based channel state information (CSI) prediction in one or more domains, receiving configuration information that indicates parameters for ML based CSI prediction in the one or more domains; receiving CSI reference signals (RSs), and measuring the CSI-RSs. The method further includes determining, based on the configuration information and the measured CSI-RSs, a plurality of CSI predictions in the one or more domains; determining a CSI report including one or more of the plurality of CSI predictions and dependency information indicating dependencies between CSI predictions in the plurality of CSI predictions; and transmitting the CSI report.

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