ADAPTIVE LEARNING IN DISTRIBUTION SHIFT FOR RAN AI/ML MODELS

    公开(公告)号:US20240152820A1

    公开(公告)日:2024-05-09

    申请号:US18548509

    申请日:2021-03-23

    CPC classification number: G06N20/00

    Abstract: An apparatus includes circuitry configured to: receive a request from a radio access network algorithm to determine whether there is a distribution shift related to a temporal characteristic of a cell of a communication network; request data from a radio access network node or a controller platform related to the temporal characteristic; receive the requested data related to the cell from the radio access network node or the controller platform; determine whether there is a distribution shift related to the temporal characteristic; in response to determining that there is a distribution shift, select a learning type for an update to a model; and update the model such that, when the model is provided to an inference server, causes the radio access network algorithm to use the updated model to perform at least one action to optimize the performance of the radio access network node or other radio access network node.

    Resource Allocation Policy Signaling

    公开(公告)号:US20210377948A1

    公开(公告)日:2021-12-02

    申请号:US16963282

    申请日:2018-01-18

    Abstract: An apparatus including an input configured to receive at least one notification from at least one radio access network node controller, the at least one notification caused to notify the apparatus of at least one physical channel assignment policy indication; an assigner configured to implement at least one physical channel assignment based on the at least one physical channel assignment policy indication; an output configured to generate and transmit at least one assignment notification to at least one user equipment associated with the apparatus, the assignment notification caused to notify the at least one user equipment of the at least one physical channel assignment.

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