公开(公告)号：US20230362042A1

公开(公告)日：2023-11-09

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 ,  H04L27/26 ,  H04L5/00

CPC classification number: H04L25/03165 ,  H04L27/26134 ,  H04L5/0098

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：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.