NETWORK RESOURCE MODELS AND TECHNOLOGIES FOR ACTIONS EXECUTED ACCORDING TO MACHINE LEARNING INFERENCE REPORTS

    公开(公告)号:US20250062967A1

    公开(公告)日:2025-02-20

    申请号:US18935367

    申请日:2024-11-01

    Inventor: Yizhi YAO

    Abstract: This disclosure describes systems, methods, and devices related to optimized resource technologies. A device may create a Managed Object Instance (MOI) representing actions executed based on artificial intelligence or machine learning (AI/ML) inference function. The device may notify a management and network service (MnS) consumer about the creation of the MOI. The device may execute actions by a network or management function acting as the consumer of the inference output. The device may manage performance of the AI/ML inference function.

    DEPLOYING EDGE COMPUTING
    13.
    发明申请

    公开(公告)号:US20210144054A1

    公开(公告)日:2021-05-13

    申请号:US15734532

    申请日:2019-10-30

    Inventor: Joey CHOU Yizhi YAO

    Abstract: Techniques discussed herein can facilitate edge computing in connection with a variety of deployment scenarios. Various embodiments can facilitate one or more of: deploying UPF(s) (User Plane Function(s)) to support edge computing; removing UPF(s) not needed for edge computing; deploying local DN(s) (Data Network(s)); E2E (Edge-to-Edge) OSS (Operations Support System) deployment scenarios; and providing RAN (Radio Access Network) condition data to support various applications (e.g., autonomous driving).

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