公开(公告)号：US12028193B2

公开(公告)日：2024-07-02

申请号：US17910038

申请日：2021-02-17

Applicant: Nokia Solutions and Networks Oy

Inventor： Mikko Johannes Honkala ,  Dani Johannes Korpi ,  Janne Matti Juhani Huttunen ,  Vesa Starck

IPC: H04L25/03 ,  H04B7/0413 ,  H04L5/00 ,  H04L25/02 ,  H04L27/26

CPC classification number: H04L25/03165 ,  H04B7/0413 ,  H04L5/0048 ,  H04L5/0098 ,  H04L25/0224 ,  H04L25/0254 ,  H04L27/26134

Abstract: According to an example embodiment, a radio receiver 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 receiver 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 subcarrier in a plurality of subcarriers and to a timeslot in a time interval; obtain a reference signal array representing a reference signal configuration applied during the time interval; implement a neural network; input data into the neural network, wherein the data includes at least the data array and the reference signal array. A radio receiver, a method and a computer program product are disclosed.

公开(公告)号：US11337100B1

公开(公告)日：2022-05-17

申请号：US17405702

申请日：2021-08-18

Applicant: NOKIA SOLUTIONS AND NETWORKS OY

Inventor： Dani Johannes Korpi ,  Mikko Aleksi Uusitalo ,  Janne Matti Juhani Huttunen ,  Mikko Johannes Honkala ,  Leo Mikko Johannes Kärkkäinen

IPC: H04W24/10 ,  H04L43/0894 ,  H04L43/50 ,  H04L25/02

Abstract: According to an aspect, a method in the radio head comprises receiving a reference signal from a terminal device, and computing a channel estimate on the basis of the reference signal and transferring the channel estimate with a first precision level to the network node over a link between the radio head and the network node. The first precision level defines a first number of bits carrying the channel estimate, then the method determines to change the precision level and, in response to the determining, transfers the channel estimate or a further channel estimate with a second precision level to the network node. The second precision level defines a second number of bits carrying the channel estimate or the further channel estimate, the second number being different from the first number.

公开(公告)号：US12232102B2

公开(公告)日：2025-02-18

申请号：US17787984

申请日：2020-12-17

Applicant: Nokia Solutions and Networks Oy

Inventor： Dani Johannes Korpi

IPC: G06N3/084 ,  G06N3/092 ,  H04B1/525 ,  H04B17/391 ,  H04W16/22 ,  H04W24/02 ,  H04W28/02 ,  H04W72/121 ,  H04W84/02 ,  H04W88/02 ,  H04W88/08 ,  H04W92/02 ,  H04W92/10 ,  H04W92/18

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.

公开(公告)号：US11800458B2

公开(公告)日：2023-10-24

申请号：US18073847

申请日：2022-12-02

Applicant: NOKIA SOLUTIONS AND NETWORKS OY

Inventor： Dani Johannes Korpi ,  Martti Johannes Moisio ,  Karri Lindeman ,  Mikko Aleksi Uusitalo ,  Karthik Upadhya

IPC: H04W52/22 ,  H04W52/24 ,  H04W52/14

CPC classification number: H04W52/146 ,  H04W52/225 ,  H04W52/24

Abstract: As solution for selection of power control parameters is presented. The solution comprises determining, from a given set of radio access network parameters, a selection of radio access network parameters which have an effect on uplink power control, and training a neural network to determine uplink power control parameters, utilising as an input the selection of radio access network parameter, and utilising the trained neural network, with as an input the selection of radio access network parameters, obtain as an output a set of initial uplink power control parameters.