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    Method and Apparatus for Selecting Plurality of Terminal Devices for Uplink and Downlink Transmissions
    1.
    发明申请
    Method and Apparatus for Selecting Plurality of Terminal Devices for Uplink and Downlink Transmissions 有权

    公开(公告)号：US20230063040A1

    公开(公告)日：2023-03-02

    申请号：US17787984

    申请日：2020-12-17

    Applicant: Nokia Solutions and Networks Oy

    Inventor： Dani Johannes KORPI

    IPC: H04W72/12 ,  G06N3/08 ,  H04W24/02 ,  H04B1/525

    Abstract: An apparatus and method for selecting a plurality of terminal devices for uplink and downlink transmissions are described. A first terminal device is selected from a first group of terminal devices. A reinforcement learning agent is used for selecting the first terminal device based at least on data rates of the terminal devices of the first group and data rates of the terminal devices of a second group. The selected first terminal device is transferred from the first group of terminal devices to the second group of terminal devices. One group of terminal devices is scheduled for downlink transmission and the other group of terminal devices is scheduled for uplink transmission.

    MACHINE LEARNING-BASED RECEIVER IN WIRELESS COMMUNICATION NETWORK
    2.
    发明申请
    MACHINE LEARNING-BASED RECEIVER IN WIRELESS COMMUNICATION NETWORK 有权

    公开(公告)号：US20250141502A1

    公开(公告)日：2025-05-01

    申请号：US18925724

    申请日：2024-10-24

    Applicant: Nokia Solutions and Networks Oy

    Inventor： Mikko Johannes HONKALA ,  Janne Matti Juhani HUTTUNEN ,  Dani Johannes KORPI

    IPC: H04B7/0456 ,  G06N20/00

    Abstract: The present disclosure relates to a machine learning (ML)-based receiver that is invariant to the number of Multiple Input Multiple Output (MIMO) layers it processes. The ML-based receiver is configured, for each MIMO layer, to obtain a set of intermediate estimates by performing an equalization operation based on channel information and an array of symbols received over the MIMO layers, and to obtain a set of final estimates for the array of symbols by using a layer-associated block of a ML model. Each layer-associated block of the ML model is configured to receive the set of intermediate estimates as input data and output the set of final estimates. The layer-associated blocks are configured operate in parallel and exchange weights between each other during a training phase. In some embodiments, the layer-associated blocks may be further configured to exchange the input data between each other during the training and inference phases.

    A Radio Transmitter with a Neural Network, and Related Methods and Computer Programs
    4.
    发明申请
    A Radio Transmitter with a Neural Network, and Related Methods and Computer Programs 有权

    公开(公告)号：US20240372583A1

    公开(公告)日：2024-11-07

    申请号：US18689110

    申请日：2021-09-10

    Applicant: Nokia Solutions and Networks Oy

    Inventor： Janne Matti Juhani HUTTUNEN ,  Mikko Johannes HONKALA ,  Dani Johannes KORPI

    IPC: H04B7/0456 ,  G06N3/084 ,  H04L25/02

    Abstract: Radio transmitter devices and related methods and computer programs are disclosed. Uplink channel information is received at a radio transmitter device. The radio transmitter device determines resource element specific precoding matrices for a downlink channel based on the received uplink channel information. The radio transmitter device generates transmit antenna specific output signals for the transmit antenna array based on the determined resource element specific precoding matrices and symbols to be transmitted. The determining of the resource element specific precoding matrices for the downlink channel based on the received uplink channel information is performed with applying a neural network to the received uplink channel information. The neural network includes at least one neural network layer executable to process the received uplink channel information to output the resource element specific precoding matrices for the downlink channel.

    Method and System for a Receiver in a Communication Network
    6.
    发明申请
    Method and System for a Receiver in a Communication Network 有权

    公开(公告)号：US20250139511A1

    公开(公告)日：2025-05-01

    申请号：US18694083

    申请日：2022-10-19

    Applicant: Nokia Solutions and Networks Oy

    Inventor： Dani Johannes KORPI ,  Mikko Johannes HONKALA ,  Janne Matti Juhani HUTTUNEN ,  Mikko Aleksi UUSITALO ,  Jakob HOYDIS

    IPC: G06N20/00

    Abstract: A method for an apparatus in a communications network is provided. The apparatus includes at least two receiver units configured to receive signals from user equipment (UEs) in the communication network and a logical unit communicatively coupled to each of the receiver units. The logical unit receives a signal from each of the receiver units and output outputs a sequence of data corresponding to a sequence of transmitted data. The method includes receiving a signal at the receiver units and obtaining a sequence of data based on an output of an inference model that is trained to receive an input including a signal received at the receiver units and outputs a sequence of data corresponding to a sequence of transmitted data from a UE. The inference model includes sub-models corresponding to each of the receiver units and a sub-model corresponding to the logical unit.

    STATISTICAL PARAMETER MODEL EXTRACTION
    7.
    发明申请
    STATISTICAL PARAMETER MODEL EXTRACTION 有权

    公开(公告)号：US20250062847A1

    公开(公告)日：2025-02-20

    申请号：US18806216

    申请日：2024-08-15

    Applicant: Nokia Solutions and Networks Oy

    Inventor： Dani Johannes KORPI ,  Janne Matti Juhani HUTTUNEN ,  Mikko Johannes HONKALA

    IPC: H04B17/391 ,  H04B17/26 ,  H04L25/02

    Abstract: According to an example embodiment, a method comprises: obtaining at least one prototype radio channel model; extracting at least one statistical parameter model based at least on the at least one prototype radio channel model, wherein the at least one statistical parameter model corresponds to at least one parameter of the at least one prototype radio channel model; generating at least one synthetic radio channel model realization based at least on the at least one statistical parameter model; and training a wireless model using the at least one synthetic radio channel model.

    Radio Receiver
    10.
    发明公开
    Radio Receiver 审中-公开

    公开(公告)号：US20230403182A1

    公开(公告)日：2023-12-14

    申请号：US18033836

    申请日：2021-09-21

    Applicant: Nokia Solutions and Networks Oy

    Inventor： Mikko Johannes Honkala ,  Dani Johannes KORPI ,  Janne Matti Juhani HUTTUNEN ,  Vesa STARCK

    IPC: H04L25/02 ,  H04L5/00 ,  H04B7/0413

    CPC classification number: H04L25/0224 ,  H04L5/0048 ,  H04L25/0254 ,  H04B7/0413

    Abstract: According to an example embodiment, a radio receiver is configured to: obtain a data array including a plurality of elements, wherein each element in the plurality of elements in the data array corresponds to a sub-carrier in a plurality of subcarriers, to a timeslot in a time interval, and to an antenna stream; implement a machine learning model including at least one neural network and a transformation, wherein the transformation includes at least one multiplicative layer or equalisation; and input data into the machine learning model, wherein the data includes at least the data array; wherein the machine learning model is configured to, based on the data, output an output array representing values of the plurality of elements in the data array, wherein the values include bits or symbols. A radio receiver, a method and a computer program product are disclosed.

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