TRIGGERING OF ARTIFICIAL INTELLIGENCE/MACHINE LEARNING TRAINING IN NETWORK DATA ANALYTICS FUNCTION

    公开(公告)号:US20250056251A1

    公开(公告)日:2025-02-13

    申请号:US18785480

    申请日:2024-07-26

    Abstract: Triggering of artificial intelligence/machine learning training in a network data analytics function is provided. A method for triggering artificial intelligence/machine learning training in a network data analytics function may include obtaining at least one machine learning model for training or retraining based on measurement data of a network. The method may also include determining that data collection is required prior to training or retraining the at least one machine learning model, and receiving one or more measurement reports that includes at least one dataset from the data collection. The method may further include determining whether additional assisted information from one or more network devices is required for training or retraining. The at least one machine learning model may be trained or retrained based on all collected datasets, which includes the at least one dataset from the data collection.

    CLUSTER BASED TRAINING HOST SELECTION IN ASYNCHRONOUS FEDERATED LEARNING MODEL COLLECTION

    公开(公告)号:US20240037450A1

    公开(公告)日:2024-02-01

    申请号:US18266038

    申请日:2021-12-29

    CPC classification number: G06N20/00

    Abstract: Systems, methods, apparatuses, and computer program products for cluster based local ML model training host selection in asynchronous federated learning model collection. A method may include transmitting local model parameters following training of a model of at least one network element to a network node to be used to cluster the at least one network element with one or more other network elements. The method may also include training, by one or more network elements selected from the cluster, an aggregated model using the local model parameters. The method may further include transmitting, by the one or more network elements selected from the cluster, updated local model parameters of the at least one network element as a result of the training to the network node.

    RANDOM ACCESS PROCEDURE SELECTION

    公开(公告)号:US20230072679A1

    公开(公告)日:2023-03-09

    申请号:US17799586

    申请日:2020-02-14

    Abstract: According to an example embodiment, a client device comprises at least one processor; and at least one memory including computer program code. The at least one memory and the computer program code may be configured to, with the at least ne processor, cause the client device to: detect need for random access, random access, in a non-terrestrial network to a target cell of the non-terrestrial network; identify whether the needed random access is intra-satellite or inter-satellite; in response to the needed random access being intra-satellite, perform a first random access procedure, wherein, in the first random access procedure, the client device transmits a random access preamble and a payload data in a single message; and in response to the needed random access being inter-satellite, perform a second random access procedure wherein, in the second random access procedure, the client device transmits a random access preamble and a payload data in separate messages. A client device, a network node device, methods and computer program products are disclosed.

    ADAPTATION OF MEASUREMENT CONFIGURATION FOR NON-TERRESTRIAL NETWORKS

    公开(公告)号:US20220295359A1

    公开(公告)日:2022-09-15

    申请号:US17636166

    申请日:2019-08-22

    Abstract: According to an example embodiment, a client device comprises at least one processor and at least one memory including computer program code. The at least one memory and the computer program code may be configured to, with the at least one processor, cause the client device to: receive a measurement configuration from a first network node device, receive a preconfigured condition for the measurement configuration from the first network node device, and in response to the preconfigured condition for the measurement configuration being fulfilled, use the measurement configuration. A client device, a network node device, methods, and computer programs are disclosed.

    CORRELATION-BASED MEASUREMENT REPORTING REDUCTION

    公开(公告)号:US20240306026A1

    公开(公告)日:2024-09-12

    申请号:US18599574

    申请日:2024-03-08

    CPC classification number: H04W24/10 H04W24/08

    Abstract: According to an aspect, there is provided an apparatus for performing the following. The apparatus performs cell-specific radio measurements for a plurality of cells or beam-specific radio measurements for a plurality of transmit beams. The apparatus evaluates correlation between results of the cell/beam-specific radio measurements and compares the correlation against one or more pre-defined correlation conditions. In response to the correlation for at least one pair of cells in the plurality of cells or for at least one pair of transmit beams in the plurality of transmit beams satisfying the one or more pre-defined correlation conditions, the apparatus filters the results of the cell-specific or beam-specific radio measurements to remove repetitions of results satisfying the one or more pre-defined correlation conditions and transmits, to another apparatus, a measurement report comprising the filtered results and information on the correlation.

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