公开(公告)号：US20240259839A1

公开(公告)日：2024-08-01

申请号：US18565171

申请日：2021-05-31

Applicant: Nokia Solutions and Networks Oy

Inventor： Dani Johannes KORPI ,  Mikko Johannes HONKALA ,  Janne Matti Juhani HUTTUNEN ,  Faycal AIT AOUDIA ,  Jakob HOYDIS

IPC: H04W24/02 ,  H04L5/00

CPC classification number: H04W24/02 ,  H04L5/0007

Abstract: According to an example embodiment, a radio transmitter includes 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 radio transmitter to obtain bits to be transmitted; map the bits into a symbol grid in time-frequency domain; modulate the symbol grid into a first time-domain waveform; input the first time-domain waveform into a machine learning model, producing a second time-domain waveform; power amplify the second time-domain waveform, producing an amplified time-domain waveform; and transmit the amplified time-domain waveform. A radio transmitter, a method and a computer program product are disclosed.

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.

公开(公告)号：US20250112805A1

公开(公告)日：2025-04-03

申请号：US18894225

申请日：2024-09-24

Applicant: Nokia Solutions and Networks Oy

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

IPC: H04L25/02 ,  H04B7/06

Abstract: Devices, methods and computer programs for machine learning-based generation of beamforming coefficients by utilizing prior radio channel related information are disclosed. At least some example embodiments may allow reducing the amount of historical information to be fed to a neural beamformer or machine learning-based beamformer to reduce computational complexity and memory requirements.

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.

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.

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.

公开(公告)号：US20240305391A1

公开(公告)日：2024-09-12

申请号：US18546335

申请日：2021-12-22

Applicant: Nokia Solutions and Networks Oy

Inventor： Dani Johannes KORPI ,  Janne Matti Juhani HUTTUNEN ,  Mikko Aleksi UUSITALO ,  Mikko Johannes HONKALA ,  Leo Mikko Johannes KARKKAINEN

IPC: H04B17/345 ,  H04L25/02 ,  H04W24/08

CPC classification number: H04B17/345 ,  H04L25/0224 ,  H04W24/08

Abstract: An apparatus and method for determining channel condition are disclosed. The apparatus comprises: a reception radio unit having a reception radio unit antenna and a reception radio unit receiver configured to receive uplink transmissions from user equipment; and a spatially-separated transmission radio unit having a transmission radio unit antenna and a transmission radio unit transmitter configured to transmit downlink transmissions to the user equipment, the transmission radio unit having a transmission radio unit receiver configured to receive the uplink transmissions from user equipment to determine a channel condition between the transmission radio unit and the user equipment.