APPARATUS, METHOD, AND COMPUTER PROGRAM
    1.
    发明公开

    公开(公告)号:US20240267723A1

    公开(公告)日:2024-08-08

    申请号:US18509845

    申请日:2023-11-15

    CPC classification number: H04W8/22 H04W24/02 H04W88/08

    Abstract: The disclosure relates to an apparatus configured to: receive (900), from user equipment, user equipment capability information; compute (902) statistics for a set of user equipment capability classes based on the user equipment capability information; and cause (904) a network management function to train models specific for at least a subset of user equipment capability classes selected amongst the set of user equipment capability classes based on the statistics for a set of user equipment capability or to train a model generic for at least a subset of user equipment capability classes selected amongst the set of user equipment capability classes based on the statistics for a set of user equipment capability classes.

    ANALYTICS PERFROMANCE MANAGEMENT
    2.
    发明公开

    公开(公告)号:US20240049032A1

    公开(公告)日:2024-02-08

    申请号:US18361178

    申请日:2023-07-28

    CPC classification number: H04W24/10 H04W24/08

    Abstract: There is provided an apparatus comprising: at least one processor and at least one memory storing instructions that, when executed by the at least one processor, cause the apparatus at least to receive, at an analytics producer, a request for analytics, from an analytics consumer, wherein the request comprises a first time period, TA, determine a second time period, DS for an expected time to provide the requested analytics at the analytics producer, provide the analytics based on the request in a third time period, TD, determine, based on TA, DS and TD, which of at least one of a plurality of parameters is met and increment a counter for the determined parameter.

    COMMUNICATION NETWORK
    4.
    发明公开

    公开(公告)号:US20240211775A1

    公开(公告)日:2024-06-27

    申请号:US18496287

    申请日:2023-10-27

    CPC classification number: G06N5/022

    Abstract: A management service producer or data repository of a communication network provides at least one of the following: information about knowledge available for sharing, or knowledge available for sharing, and executes a transfer learning process for sharing at least part of the knowledge. A management service consumer of the communication network generates at least one of the following: a request for information on available knowledge from the management service producer or data repository, a request for available knowledge from the management service producer or data repository, or a request for executing a transfer learning process between the management service producer or data repository and an ML entity or ML-enabled function of the communication network, and
    manages the request for available knowledge or the request for executing the transfer learning process, and/or adapts content of the request for available knowledge or the request for executing the transfer learning process.

    ML CAPABILITY UPDATE
    5.
    发明公开

    公开(公告)号:US20240129203A1

    公开(公告)日:2024-04-18

    申请号:US18365972

    申请日:2023-08-05

    Inventor: Stephen MWANJE

    CPC classification number: H04L41/16 H04W24/02

    Abstract: The present disclosure provides a method comprising monitoring, by an update service producer receives, for a request to update an artificial intelligence/machine learning capability influencing a network service, and instructing, by the update service producer, a first support function to update the artificial intelligence/machine learning capability to an update version when the request is received.

    ENVIRONMENT MODELING AND ABSTRACTION OF NETWORK STATES FOR COGNITIVE FUNCTIONS

    公开(公告)号:US20210326662A1

    公开(公告)日:2021-10-21

    申请号:US17258924

    申请日:2018-07-19

    Abstract: An EMA method of enabling CNM in communication networks comprises, for a given time instant t, extracting (S601) features from an n-dimensional input vector Xt containing at least one of continuous valued environmental parameters, network configuration values and key performance indicator values, and forming a d-dimensional feature vector Yt from the extracted features, quantizing (S602) the formed feature vector Yt by selecting, for the extracted vector Yt, a single quantum corresponding to an internal state of k internal states of an internal state-space model, mapping (S603), for each dimension Sm of an m-dimensional output vector St, an output state bin of a number of output state bins present for dimension Sm to the selected internal state, and, for each cognitive function off cognitive functions, selecting (S604) a subset out of the output vector St, each of the subsets having a dimension equal to or smaller than m and containing feature values required by the cognitive function, the f selected subsets being different in dimension from each other.

    ERRONEOUS DATA IN LEARNING AND INFERENCE OF COGNITIVE FUNCTIONS

    公开(公告)号:US20240297820A1

    公开(公告)日:2024-09-05

    申请号:US18572816

    申请日:2021-06-28

    CPC classification number: H04L41/0823 H04L41/0816 H04L41/0886

    Abstract: It is provided a method comprising: receiving one or more received data sets, wherein each of the received data sets comprises data each representing a value of a respective status parameter of a system, and at least one of the data sets comprises a respective value quality score representing a quality of the value of the respective status parameter: calculating, by a cognitive function, an optimal configuration range set and a confidence score of the optimal configuration range set based on the one or more received data sets; providing the calculated optimal configuration range set and the confidence score to a controller.

    APPARATUS, METHODS, AND COMPUTER PROGRAMS
    8.
    发明公开

    公开(公告)号:US20240223469A1

    公开(公告)日:2024-07-04

    申请号:US18557677

    申请日:2021-06-15

    CPC classification number: H04L41/5006

    Abstract: An apparatus comprising means configured to: receive a set of service offer descriptors, the service offer descriptor set defining one or more attributes, at least one of the attributes being associated with a plurality of different options, the set of service offer descriptors being associated with a service provider; receive a set of service requirements for a service to be provided, said set of service requirements defining one or more attributes for the service and for one or more of the attributes an associated option; and provide a set of service order descriptors for the service to be provided, said set of service order descriptors based on said set of service offer descriptors and comprising for at least one attribute of the set of service offer descriptors information indicating a selected option of the plurality of different options, in dependence on the service to be provided.

    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.

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