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    A1 POLICY FUNCTIONS FOR OPEN RADIO ACCESS NETWORK (O-RAN) SYSTEMS
    1.
    发明公开
    A1 POLICY FUNCTIONS FOR OPEN RADIO ACCESS NETWORK (O-RAN) SYSTEMS 审中-公开

    公开(公告)号：US20240214272A1

    公开(公告)日：2024-06-27

    申请号：US18550276

    申请日：2022-07-05

    Applicant: Intel Corporation

    Inventor： Dawei Ying ,  Leifeng Ruan ,  Jaemin Han ,  Qian Li

    IPC: H04L41/0894

    CPC classification number: H04L41/0894

    Abstract: The present invention relates to an apparatus comprising: memory to store policy statement information for a plurality of radio access network (RAN) automation applications (rApps); and processing circuitry, coupled with the memory, to: retrieve the policy statement information from the memory, wherein the policy statement information includes respective policy scope identifiers for respective rApps in the plurality of rApps; identify a conflict associated with common or overlapping policy scope identifiers between two or more rApps from the plurality of rApps; modify one or more A1 policies associated with an A1 interface connecting a non-real-time (non-RT) RAN intelligence controller (RIC) and a near-real-time (near-RT) RIC to resolve the conflict; and notify the two or more rApps of the modification of the one or more A1 policies.

    Data-centric service-based network architecture
    2.
    发明授权
    Data-centric service-based network architecture 有权

    公开(公告)号：US12273243B2

    公开(公告)日：2025-04-08

    申请号：US18399314

    申请日：2023-12-28

    Applicant: Intel Corporation

    Inventor： Geng Wu ,  Leifeng Ruan ,  Qian Li ,  Dawei Ying

    IPC: H04L41/18 ,  G06F18/214 ,  H04L41/16 ,  H04L47/70 ,  H04L47/762 ,  H04L47/783

    Abstract: A data-centric network and non-Real-Time (RT) RAN Intelligence Controller (RIC) architecture are described. The data-centric network architecture provides data plane functions (DPFs) that serve as a shared database for control functions, user functions and management functions for data plane resources in a network. The DPFs interact with control plane functions, user plane functions, management plane functions, compute plane functions, network exposure functions, and application functions of the NR network via a service interface. The non-RT RIC provides functions via rApps, manages the rApps, performs conflict mitigation and security functions, monitors machine learning (ML) performance, provides a ML model catalog that contains ML model information, provides interface terminations and stores ML data and Near-RT RIC related information in a database. An ML training host trains and evaluates ML models in the catalog, obtains training and testing data from the database, and retrains and updates the ML models.

    DATA-CENTRIC SERVICE-BASED NETWORK ARCHITECTURE
    8.
    发明公开
    DATA-CENTRIC SERVICE-BASED NETWORK ARCHITECTURE 审中-公开

    公开(公告)号：US20240137288A1

    公开(公告)日：2024-04-25

    申请号：US18399314

    申请日：2023-12-28

    Applicant: Intel Corporation

    Inventor： Geng Wu ,  Leifeng Ruan ,  Qian Li ,  Dawei Ying

    IPC: H04L41/16 ,  G06F18/214 ,  H04L47/70 ,  H04L47/762 ,  H04L47/783

    CPC classification number: H04L41/16 ,  G06F18/214 ,  H04L47/762 ,  H04L47/783 ,  H04L47/822

    Abstract: A data-centric network and non-Real-Time (RT) RAN Intelligence Controller (RIC) architecture are described. The data-centric network architecture provides data plane functions (DPFs) that serve as a shared database for control functions, user functions and management functions for data plane resources in a network. The DPFs interact with control plane functions, user plane functions, management plane functions, compute plane functions, network exposure functions, and application functions of the NR network via a service interface. The non-RT RIC provides functions via rApps, manages the rApps, performs conflict mitigation and security functions, monitors machine learning (ML) performance, provides a ML model catalog that contains ML model information, provides interface terminations and stores ML data and Near-RT RIC related information in a database. An ML training host trains and evaluates ML models in the catalog, obtains training and testing data from the database, and retrains and updates the ML models.

    Data-centric service-based network architecture
    9.
    发明授权
    Data-centric service-based network architecture 有权

    公开(公告)号：US11902104B2

    公开(公告)日：2024-02-13

    申请号：US17186526

    申请日：2021-02-26

    Applicant: Intel Corporation

    Inventor： Geng Wu ,  Leifeng Ruan ,  Qian Li ,  Dawei Ying

    IPC: H04L41/16 ,  H04L47/783 ,  H04L47/762 ,  H04L47/70 ,  G06F18/214

    CPC classification number: H04L41/16 ,  G06F18/214 ,  H04L47/762 ,  H04L47/783 ,  H04L47/822

    Abstract: A data-centric network and non-Real-Time (RT) RAN Intelligence Controller (RIC) architecture are described. The data-centric network architecture provides data plane functions (DPFs) that serve as a shared database for control functions, user functions and management functions for data plane resources in a network. The DPFs interact with control plane functions, user plane functions, management plane functions, compute plane functions, network exposure functions, and application functions of the NR network via a service interface. The non-RT RIC provides functions via rApps, manages the rApps, performs conflict mitigation and security functions, monitors machine learning (ML) performance, provides a ML model catalog that contains ML model information, provides interface terminations and stores ML data and Near-RT RIC related information in a database. An ML training host trains and evaluates ML models in the catalog, obtains training and testing data from the database, and retrains and updates the ML models.

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