Patents by Inventor Karri LINDEMAN

Karri LINDEMAN 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).

  • Publication number: 20240007961
    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.
    Type: Application
    Filed: August 2, 2023
    Publication date: January 4, 2024
    Inventors: Dani Johannes KORPI, Martti Johannes MOISIO, Karri LINDEMAN, Mikko Aleksi UUSITALO, Karthik UPADHYA
  • Patent number: 11800458
    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.
    Type: Grant
    Filed: December 2, 2022
    Date of Patent: October 24, 2023
    Assignee: NOKIA SOLUTIONS AND NETWORKS OY
    Inventors: Dani Johannes Korpi, Martti Johannes Moisio, Karri Lindeman, Mikko Aleksi Uusitalo, Karthik Upadhya
  • Publication number: 20230189160
    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.
    Type: Application
    Filed: December 2, 2022
    Publication date: June 15, 2023
    Inventors: Dani Johannes KORPI, Martti Johannes MOISIO, Karri LINDEMAN, Mikko Aleksi UUSITALO, Karthik UPADHYA