Patents by Inventor Mikko Tapio Kokkonen

Mikko Tapio Kokkonen has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 11811527
    Abstract: There is provided a solution for employing a neural network in a radio receiver. According to an aspect, a method comprises: acquiring, from a received frame, a set of samples associated with a position of a control information element in the frame; inputting the set of samples to nodes of an input layer of a neural network, the input layer having the same number of nodes as a number of samples in the set of samples; processing the set of samples in the neural network that has been trained, before receiving the set of samples, to decode one or more determined values of the control information element and to detect discontinuous transmission; outputting, in an output layer of the neural network, an indicator indicating a decoded value of the control information element comprised in the set of samples or an indicator indicating the discontinuous transmission.
    Type: Grant
    Filed: January 7, 2019
    Date of Patent: November 7, 2023
    Assignee: NOKIA TECHNOLOGIES OY
    Inventors: Jean-Luc Olivés, Vesa Starck, Mikko Tapio Kokkonen, Gerardo Moreno Crespo
  • Publication number: 20220094464
    Abstract: There is provided a solution for employing a neural network in a radio receiver. According to an aspect, a method comprises: acquiring, from a received frame, a set of samples associated with a position of a control information element in the frame; inputting the set of samples to nodes of an input layer of a neural network, the input layer having the same number of nodes as a number of samples in the set of samples; processing the set of samples in the neural network that has been trained, before receiving the set of samples, to decode one or more determined values of the control information element and to detect discontinuous transmission; outputting, in an output layer of the neural network, an indicator indicating a decoded value of the control information element comprised in the set of samples or an indicator indicating the discontinuous transmission.
    Type: Application
    Filed: January 7, 2019
    Publication date: March 24, 2022
    Inventors: Jean-Luc OLIVÉS, Vesa STARCK, Mikko Tapio KOKKONEN, Gerardo MORENO CRESPO
  • Patent number: 11196608
    Abstract: One embodiment is directed to a method comprising deciding to multiplex the data of at least two users within a super-constellation; determining the power split ratio among the at least two users; selecting a super-constellation; and based on the determined power split ratio, choosing a subset of the super-constellation points forming the superposition of modulation constellations of the at least two users.
    Type: Grant
    Filed: June 28, 2016
    Date of Patent: December 7, 2021
    Assignee: NOKIA TECHNOLOGIES OY
    Inventors: Karol Schober, Mihai Enescu, Mikko Tapio Kokkonen
  • Publication number: 20180191549
    Abstract: One embodiment is directed to a method comprising deciding to multiplex the data of at least two users within a super-constellation; determining the power split ratio among the at least two users; selecting a super-constellation; and based on the determined power split ratio, choosing a subset of the super-constellation points forming the superposition of modulation constellations of the at least two users.
    Type: Application
    Filed: June 28, 2016
    Publication date: July 5, 2018
    Inventors: Karol Schober, Mihai Enescu, Mikko Tapio Kokkonen