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    RANGE EXTENSION OF AMBIENT INTERNET OF THINGS DEVICES
    21.
    发明申请
    RANGE EXTENSION OF AMBIENT INTERNET OF THINGS DEVICES 有权

    公开(公告)号：US20250080169A1

    公开(公告)日：2025-03-06

    申请号：US18809759

    申请日：2024-08-20

    Applicant: Nokia Technologies Oy

    Inventor： Muhammad Majid BUTT

    IPC: H04B5/79 ,  H02J50/00 ,  H04W76/18 ,  H04W76/28

    Abstract: Method, apparatus, and device for communicating with an extended range. The apparatus is a network apparatus communicating an ambient internet of things device having an energy storage and capability to transmitting data by backscattering a radio transmission. The apparatus detects that the device has failed to transfer data by the backscattering and responsively sends to the device a first radio transmission having instructions to decrease a radio reflection coefficient to increase wireless energy harvesting. The device decreases the radio reflection coefficient accordingly. The apparatus further sends to the device a second radio transmission having instructions to increase the radio reflection coefficient to decrease wireless energy harvesting. The device increases the radio reflection coefficient accordingly. The apparatus attempts to detect that the device has succeeded to transfer data by the backscattering.

    PROVIDING PRODUCER NODE MACHINE LEARNING BASED ASSISTANCE
    24.
    发明申请
    PROVIDING PRODUCER NODE MACHINE LEARNING BASED ASSISTANCE 有权

    公开(公告)号：US20220335337A1

    公开(公告)日：2022-10-20

    申请号：US17764891

    申请日：2019-10-02

    Applicant: Nokia Technologies Oy

    Inventor： István KOVÁCS ,  Jani MOILANEN ,  Wolfgang ZIRWAS ,  Tero HENTTONEN ,  Teemu VEIJALAINEN ,  Luis UZEDA GARCIA ,  Muhammad Majid BUTT ,  Marco CENTENARO ,  Melisa LÓPEZ

    IPC: G06N20/00 ,  H04W4/20 ,  H04W8/24 ,  H04W4/50

    Abstract: According to an aspect, there is disclosed a method comprising receiving, from a producer node, producer node capabilities comprising a machine learning based assistance capability, the machine learning based assistance capability comprising machine learning based functionalities, each machine learning based functionality comprising a machine learning entity and at least one machine learning mode associated with the machine learning entity. According to another aspect, there is disclosed a method comprising identifying producer node capabilities comprising a machine learning based assistance capability, the machine learning based assistance capability comprising machine learning based functionalities, each machine learning based functionality comprising a machine learning entity and at least one machine learning mode associated with the machine learning entity; and causing transmission of the producer node capabilities to a consumer node.

    EFFICIENT FEDERATED-LEARNING MODEL TRAINING IN WIRELESS COMMUNICATION SYSTEM
    27.
    发明公开
    EFFICIENT FEDERATED-LEARNING MODEL TRAINING IN WIRELESS COMMUNICATION SYSTEM 审中-公开

    公开(公告)号：US20240152768A1

    公开(公告)日：2024-05-09

    申请号：US18280580

    申请日：2022-04-01

    Applicant: NOKIA TECHNOLOGIES OY

    Inventor： Muhammad Majid BUTT ,  István Zsolt KOVÁCS

    IPC: G06N3/098

    CPC classification number: G06N3/098

    Abstract: There are provided measures for enabling/realizing efficient model training, including model collection and/or aggregation, for federated learning, including hierarchical federated learning, in a wireless communication system. Such measures exemplarily comprise that a federated-learning training host configured for local model training decides on how to perform the local model training depending on availability of a cluster head and computation and communication costs for a federated-learning training task, and either locally performs the local model training or delegates at least part of a federated-learning training task to the cluster head. Also, such measures exemplarily comprise that a federated-learning training host configured for local model training computes a similarity metric between a locally computed set of local model parameters and each the received sets of local model parameters, and decides on whether to operate as a temporary cluster head for one or more federated-learning training hosts.

    ATTACHMENT PROCEDURE FOR PASSIVE IOT DEVICE COMMUNICATION WITH AMBIENT ENERGY SOURCE
    28.
    发明公开
    ATTACHMENT PROCEDURE FOR PASSIVE IOT DEVICE COMMUNICATION WITH AMBIENT ENERGY SOURCE 审中-公开

    公开(公告)号：US20240129875A1

    公开(公告)日：2024-04-18

    申请号：US18484123

    申请日：2023-10-10

    Applicant: Nokia Technologies Oy

    Inventor： Muhammad Majid BUTT ,  Ahlem Khlass ,  Rapeepat Ratasuk

    IPC: H04W60/00

    CPC classification number: H04W60/00

    Abstract: In a system, apparatus, method, and non-transitory computer readable medium related to attachment procedures for passive Internet of Things (IoT) device communication with ambient energy sources, wherein a radio access network (RAN) node is caused to, receive an association request message transmitted by an energy-harvesting (EH) user equipment (UE) device based on an energy level of the EH UE device, assign a reader node from a plurality of reader nodes to the EH UE device based on the association request message, transmit an association response message to the EH UE device and the assigned reader node, the association response message including attachment information associated with the EH UE device and the assigned reader node, and receive an attachment acknowledgement message from the assigned reader node in response to the association response message.

    METHOD, APPARATUS AND COMPUTER PROGRAM
    30.
    发明公开
    METHOD, APPARATUS AND COMPUTER PROGRAM 审中-公开

    公开(公告)号：US20240007884A1

    公开(公告)日：2024-01-04

    申请号：US18346052

    申请日：2023-06-30

    Applicant: NOKIA TECHNOLOGIES OY

    Inventor： István Zsolt KOVÁCS ,  Teemu Mikael VEIJALAINEN ,  Kalle Petteri KELA ,  Jian SONG ,  Muhammad Majid BUTT

    IPC: H04W24/08 ,  H04W56/00 ,  G06N3/092

    CPC classification number: H04W24/08 ,  H04W56/001 ,  G06N3/092

    Abstract: An apparatus of a first communication node is provide that includes: means for synchronising a common reference timing with a second communication node; means for obtaining an indication of a time window that specifies a period of time between first and second time instances; and means for configuring a machine learning-based function at the first communication node, wherein the configuration of the machine learning-based function is common between the first and second communication nodes. The apparatus further includes means for executing the machine learning-based function; and means for obtaining information by measuring a performance metric, for the machine learning-based function, during the time window. The apparatus further includes means for assigning a time identification to the measured information during the time window, wherein the time identification is associated with the common reference timing; and means for providing, to the second communication node, the measured information according to the time identification.

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