METHODS AND APPARATUS TO COORDINATE EDGE PLATFORMS

    公开(公告)号:US20210014133A1

    公开(公告)日:2021-01-14

    申请号:US17032993

    申请日:2020-09-25

    Abstract: Methods and apparatus to coordinate edge platforms are disclosed. A disclosed example apparatus includes to control processing of data associated with edges includes an orchestrator analyzer to determine a first performance requirement of a first microservice of an application and a second performance requirement of a second microservice of the application. The apparatus also includes an orchestrator controller to assign the first microservice and the second microservice across first and second edge nodes between a source network and a destination network by: assigning the first microservice to the first edge node based on a first capability of the first edge node satisfying the first performance requirement of the first microservice, and assigning the second microservice to the second edge node based on a second capability of the second edge node satisfying the second performance requirement of the second microservice.

    USING AI-BASED MODELS FOR NETWORK ENERGY SAVINGS

    公开(公告)号:US20240298225A1

    公开(公告)日:2024-09-05

    申请号:US18574651

    申请日:2022-10-19

    CPC classification number: H04W36/0072 H04W24/02 H04W52/02

    Abstract: An apparatus for an access node, includes a memory interface to send or receive, to or from a data storage device, measurement information for measurement signaling between a first next generation radio access network (NG-RAN) node and a second NG-RAN node. The apparatus also includes processor circuitry communicatively coupled to the memory interface, the processor circuitry to initiate execution of a machine learning (ML) model by the first NG-RAN node to select an energy saving state for the first NG-RAN node, the second NG-RAN node or a user equipment (UE), and generate one or more messages with an information element (IE) with one or more parameters to request measurement information according to the one or more parameters, the measurement information to comprise feedback information to train the ML model. Other embodiments are described and claimed.

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