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    SAMPLING USER EQUIPMENTS FOR FEDERATED LEARNING MODEL COLLECTION
    11.
    发明公开
    SAMPLING USER EQUIPMENTS FOR FEDERATED LEARNING MODEL COLLECTION 审中-公开

    公开(公告)号：US20230409962A1

    公开(公告)日：2023-12-21

    申请号：US18031383

    申请日：2020-10-29

    Applicant: NOKIA TECHNOLOGIES OY

    Inventor： Muhammad Majid BUTT ,  Stephen MWANJE ,  Fahad SYED MUHAMMAD

    IPC: G06N20/00

    CPC classification number: G06N20/00 ,  H04L41/16

    Abstract: First user equipments are detected out of a plurality of user equipments of a cellular communication system (S201). The user equipments respectively correspond to a distributed node of a federated machine-learning concept and respectively generate a partial machine-learning model, wherein partial machine-learning models generated by the plurality of user equipments are to be used to update a global machine-learning model at the network side of the cellular communication system. The first user equipments are user equipments comprising ready partial machine-learning models. Out of the first user equipments, second user equipments are selected at least based on a time information associated with the first user equipments (S203), the ready partial machine-learning models respectively generated by the second user equipments are acquired (S205), the global machine-learning model is updated using the ready partial machine-learning models acquired (S207), and convergence of the global machine-learning model updated by the ready partial machine-learning models acquired is determined (S209). In case convergence of the S207 global machine-learning model is not determined, a process comprising the detecting (S201), selecting (S203), acquiring (S205), updating (S207) and determining (S209) is repeated.

    DISTRIBUTED TRAINING IN COMMUNICATION NETWORKS
    12.
    发明公开
    DISTRIBUTED TRAINING IN COMMUNICATION NETWORKS 审中-公开

    公开(公告)号：US20230289655A1

    公开(公告)日：2023-09-14

    申请号：US18017779

    申请日：2020-08-03

    Applicant: NOKIA TECHNOLOGIES OY

    Inventor： Stephen MWANJE

    IPC: G06N20/00

    CPC classification number: G06N20/00

    Abstract: It is provided a method comprising: monitoring if a request to train a machine learning sub-model is received from a meta-training host; generating training data; training the machine learning sub-model by at least a first subset of the training data if the request is received and at least the first subset of the training data is generated; checking if a predefined condition related to the machine learning sub-model is fulfilled; providing the trained machine learning sub-model and at least a second subset of the training data to the meta-training host if the condition is fulfilled.

    COORDINATED CONTROL OF NETWORK AUTOMATION FUNCTIONS
    13.
    发明公开
    COORDINATED CONTROL OF NETWORK AUTOMATION FUNCTIONS 审中-公开

    公开(公告)号：US20230171158A1

    公开(公告)日：2023-06-01

    申请号：US17916673

    申请日：2020-04-03

    Applicant: NOKIA TECHNOLOGIES OY

    Inventor： Stephen MWANJE ,  Janne Tapio ALI-TOLPPA

    IPC: H04L41/08 ,  H04L41/042 ,  H04L41/0873 ,  H04L43/091

    CPC classification number: H04L41/0886 ,  H04L41/042 ,  H04L41/0873 ,  H04L43/091

    Abstract: It is provided a method, comprising monitoring if a generic objective for a network is received; translating the generic objective into specific objectives based on a behavioral matrix if the generic objective is received, wherein each of the specific objectives is specific for a respective network element; requesting, for each of the specific objectives, an automation function of the respective network element to achieve the specific objective, identifying, for each of the specific objectives, based on a stored association table, a distributed control function controlling the automation function of the respective network element; informing, for each of the specific objectives, the identified distributed control function on the specific objective for the respective network element; supervising if a feedback is received from one of the distributed control functions, wherein the feedback indicates to which degree one of the specific objectives is achieved; adapting the behavioral matrix based on the feedback.

    METHOD AND APPARATUS FOR PROVIDING COGNITIVE FUNCTIONS AND FACILITATING MANAGEMENT IN COGNITIVE NETWORK MANAGEMENT SYSTEMS
    14.
    发明申请
    METHOD AND APPARATUS FOR PROVIDING COGNITIVE FUNCTIONS AND FACILITATING MANAGEMENT IN COGNITIVE NETWORK MANAGEMENT SYSTEMS 审中-公开

    公开(公告)号：US20190273662A1

    公开(公告)日：2019-09-05

    申请号：US16329783

    申请日：2016-09-02

    Applicant: NOKIA TECHNOLOGIES OY

    Inventor： Stephen MWANJE ,  Christian MANNWEILER ,  Lars Christoph SCHMELZ

    IPC: H04L12/24 ,  H04W24/02 ,  H04W24/10

    Abstract: Various methods are provided for enabling the application of machine learning to network management and in particular to enabling cognitive network management in radio access networks. One example method may comprise interpreting one or more operator goals for the CNM or for a specific CF to ensure that the specific CF adjusts its behavior in order to fulfil the operator goals, abstracting an environment into states configured for use in subsequent decision making, wherein the abstracted environment represent are built from one or more of a combination of quantitative KPIs, abstract state labels, and operational contexts, defining legal candidate network configurations for different contexts of the CF based on the abstracted environments and operational contexts as inferred by the EMA engine, and matching a current abstract state, abstracted environment, or operational context as derived by the EMA engine

    DISTRIBUTED COORDINATION BETWEEN CONCURRENT ML FUNCTIONS
    15.
    发明公开
    DISTRIBUTED COORDINATION BETWEEN CONCURRENT ML FUNCTIONS 审中-公开

    公开(公告)号：US20240356804A1

    公开(公告)日：2024-10-24

    申请号：US18436681

    申请日：2024-02-08

    Applicant: Nokia Technologies Oy

    Inventor： Abdelrahman ABDELKADER ,  Stephen MWANJE ,  Hajer BRAHAM

    IPC: H04L41/0823 ,  H04L41/16

    CPC classification number: H04L41/0823 ,  H04L41/16

    Abstract: Method comprising:



    receiving an update information on an updated value of a parameter of a network function and an identifier of a managing function responsible for the updating of the value of the parameter;
    defining a favorable range of values of the parameter based on the update information and a history of previous values of the parameter, wherein the history comprises, for each of the previous values of the parameter, the identifier of a respective managing function responsible for updating the value of the parameter to the respective previous value;
    calculating a new value of the parameter by optimizing a utility function and taking the favorable range as a constraint for the new value;
    updating the value of the parameter of the network function to the new value.

    MANAGING MACHINE LEARNING TRAINING AND MACHINE LEARNING MODEL TRAINING CONTROL
    18.
    发明公开
    MANAGING MACHINE LEARNING TRAINING AND MACHINE LEARNING MODEL TRAINING CONTROL 审中-公开

    公开(公告)号：US20230325713A1

    公开(公告)日：2023-10-12

    申请号：US18122909

    申请日：2023-03-17

    Applicant: NOKIA TECHNOLOGIES OY

    Inventor： Stephen MWANJE ,  Abdelrahman ABDELKADER

    IPC: G06N20/00

    CPC classification number: G06N20/00

    Abstract: Systems, methods, apparatuses, and computer program products for managing machine learning training. One method may include a machine learning training function receiving a request to instantiate a machine learning training job from a consumer, and instantiating the requested machine learning training job. The machine learning training function may transmit a notification to the consumer indicating that the machine learning training job has been instantiated.

    Machine Learning in Radio Connection Management
    19.
    发明公开
    Machine Learning in Radio Connection Management 审中-公开

    公开(公告)号：US20230292198A1

    公开(公告)日：2023-09-14

    申请号：US18013946

    申请日：2020-09-16

    Applicant: Nokia Technologies Oy

    Inventor： Teemu Veijalainen ,  Stephen MWANJE ,  Janne ALI-TOLPPA ,  Ahmad AWADA

    IPC: H04W36/00 ,  H04B17/318 ,  H04W36/08

    CPC classification number: H04W36/0085 ,  H04B17/318 ,  H04W36/08

    Abstract: This document discloses a solution for performing exploration of radio resource management actions. According to an aspect, a method in a terminal device includes: receiving configuration information from a network node of a radio access network; entering, in response to the configuration information and in a state of not having a need to transfer data, an exploration mode where a reduced set of radio connection functions are enabled compared with a default operating mode; triggering, in the exploration mode, an explorative handover from a source cell managed by the network node to a target cell; establishing a radio connection with a target network node as a result of the explorative handover to the target cell managed by the target network node; acquiring measurement data of the radio connection and transmitting the measurement data to the target network node.

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