公开(公告)号：US20240214314A1

公开(公告)日：2024-06-27

申请号：US18555994

申请日：2022-04-13

Applicant: Nokia Technologies Oy

Inventor： Qiyang Zhao ,  Teemu Mikael VEIJALAINEN ,  Stefano PARIS

IPC: H04L47/127 ,  H04L47/20 ,  H04W24/02

CPC classification number: H04L47/127 ,  H04L47/20 ,  H04W24/02

Abstract: A method for optimizing a predictive model for a group of nodes in a communications network includes receiving a tuples of data values, each tuple including state data representative of a state of a node, an action including a specification of paths for duplicating data packets from the node to a further node, and reward data that indicates a quality of service at the node subsequent to duplicating data packets through the paths specified by the action, determining a data value indicative of a performance level for the communications network on the basis of reward data of the tuples, evaluating a predictive model that outputs a set of data values for each node, the data values predicting a quality of service from duplicating data packets on the paths, and modifying the predictive model based on the predicted data values and the data value indicative of a performance level for the communications network.

公开(公告)号：US20240305403A1

公开(公告)日：2024-09-12

申请号：US18574899

申请日：2021-06-30

Applicant: Nokia Technologies Oy

Inventor： Silvio MANDELLI ,  Andreas WEBER ,  Paolo BARACCA ,  Jafar MOHAMMADI ,  Kalle Petteri KELA ,  Teemu Mikael VEIJALAINEN

IPC: H04L1/00

CPC classification number: H04L1/0025 ,  H04L1/0003 ,  H04L1/0026

Abstract: An apparatus, method and computer program is described including: generating a channel quality metric offset; summing a channel quality metric and the channel quality metric offset to generate an adjusted channel quality metric of a channel of a mobile communication system; setting a modulation and coding scheme for transmitting data over the channel based, at least in part, on the adjusted channel quality metric; obtaining feedback data relating to the success of data transfer over said channel; compiling a loss/reward function based, at least in part, on said feedback data; and updating a model using the loss/reward function, wherein the model is used in the generation of said channel quality metric offset.

公开(公告)号：US20240056836A1

公开(公告)日：2024-02-15

申请号：US18259132

申请日：2021-03-02

Applicant: Nokia Technologies Oy

Inventor： István Zsolt KOVÁCS ,  Teemu Mikael VEIJALAINEN ,  Wolfgang ZIRWAS ,  Navin HATHIRAMANI ,  Hans Thomas HÖHNE

IPC: H04W24/02 ,  H04W8/22 ,  H04W24/06

CPC classification number: H04W24/02 ,  H04W8/22 ,  H04W24/06

Abstract: Systems, methods, apparatuses, and computer program products for testing user equipment (UE) machine learning-assisted radio resource management (RRM) functionalities are provided. One method may include selecting a radio resource management (RRM) functionality to be tested for a user equipment (UE) having advertised machine learning (ML)-assistance capabilities, initializing a machine learning (ML)-assistance model in the user equipment based on the advertised machine learning (ML)-assistance capabilities, generating one or more input test signals and corresponding reference output test conditions depending on the machine learning (ML)-assistance radio resource management (RRM) functionality under test, and activating UE machine learning (ML)-assistance functionality and provisioning, to the user equipment, a test sequence with the generated input test signals and corresponding reference output conditions.

公开(公告)号：US20240057022A1

公开(公告)日：2024-02-15

申请号：US18446951

申请日：2023-08-09

Applicant: Nokia Technologies Oy

Inventor： Muhammad Ikram ASHRAF ,  Teemu Mikael VEIJALAINEN ,  Mikko SÄILY ,  Oana-Elena BARBU ,  Taylan SAHIN ,  Afef FEKI ,  Athul PRASAD

IPC: H04W64/00 ,  H04W28/02

CPC classification number: H04W64/003 ,  H04W28/0226 ,  H04W28/0231

Abstract: A method may include receiving, by a first user device from a network node or a second user device, 1) a positioning measurement report including at least one positioning measurement measured by a reference device, and 2) reference positioning-related information to be used for testing and/or validating a machine learning model; determining estimated positioning-related information as outputs of the machine learning model based on at least a portion of the positioning measurement report as inputs to the machine learning model; determining a performance indication of the machine learning model based on the reference positioning-related information and the estimated positioning-related information, wherein the performance indication indicates a performance or accuracy of the machine learning model; and performing, by the first user device, an action based on the performance indication.

公开(公告)号：US20230344496A1

公开(公告)日：2023-10-26

申请号：US17725508

申请日：2022-04-20

Applicant: NOKIA TECHNOLOGIES OY

Inventor： Kalle Petteri KELA ,  Teemu Mikael VEIJALAINEN ,  Hans Thomas HÖHNE

IPC: H04B7/06 ,  H04B17/318 ,  H04W24/10

CPC classification number: H04B7/0639 ,  H04B7/0695 ,  H04B17/318 ,  H04W24/10

Abstract: Systems, methods, apparatuses, and computer program products for beam selection using data radio bearer specific machine learning are provided. For example, a method can include providing one or more inputs regarding a plurality of beams to a machine learning model. The method can also include obtaining at least one output value regarding the plurality of beams from the machine learning model. The machine learning model can be a data radio bearer specific machine learning model, a data radio bearer group specific machine learning model, or a model trained to output selectively data radio bearer specific values or data radio bearer group specific values.

公开(公告)号：US20240048219A1

公开(公告)日：2024-02-08

申请号：US18224306

申请日：2023-07-20

Applicant: NOKIA TECHNOLOGIES OY

Inventor： Teemu Mikael VEIJALAINEN ,  Kalle Petteri KELA ,  Keeth Saliya Jayasinghe LADDU

IPC: H04B7/08 ,  H04B7/06

CPC classification number: H04B7/088 ,  H04B7/0626

Abstract: There is provided an apparatus comprising at least one processor and at least one memory storing instructions. When the instructions are executed by the at least one processor, the apparatus is caused to perform determining a first beam and a second beam for receiving at least one data packet from an access node of a network. The apparatus is further caused to perform receiving, from the access node, a re-transmission of the at least one data packet using the second beam when reception of the at least one data packet from the access node has failed using the first beam.

公开(公告)号：US20230345271A1

公开(公告)日：2023-10-26

申请号：US18026710

申请日：2020-09-18

Applicant: NOKIA TECHNOLOGIES OY

Inventor： Teemu Mikael VEIJALAINEN ,  Ahmad AWADA ,  Janne Tapio ALI-TOLPPA

IPC: H04W24/04 ,  H04W16/18 ,  H04W24/10

CPC classification number: H04W24/04 ,  H04W16/18 ,  H04W24/10

Abstract: There are provided measures for evaluation and control of predictive machine learning models in mobile networks. Such measures exemplarily comprise receiving information on a predictive model related to a radio resource management function, obtaining behavior information on an intended behavior of said predicted model, obtaining difference determination information on difference determination with respect to a predictive model prediction and said intended behavior, measuring a network condition, determining a prediction result based on said network condition and said information on said predictive model, determining a behavior result based on said network condition and said behavior information, and evaluating validity of said predictive model based on said prediction result, said behavior result, and said difference determination information.

公开(公告)号：US20220038931A1

公开(公告)日：2022-02-03

申请号：US17278985

申请日：2018-09-28

Applicant: Nokia Technologies Oy

Inventor： Lauri Ilari KURU ,  Antti Anton TOSKALA ,  Jani Matti Johannes MOILANEN ,  Zexian LI ,  Teemu Mikael VEIJALAINEN

IPC: H04W24/10 ,  H04B17/336 ,  H04W72/12 ,  H04L5/00

Abstract: According to an aspect, there is provided a method comprising: determining, by a terminal device of a wireless communication system, one or more distribution measures, wherein distribution comprises one or more of a signal distribution, an interference distribution, mutual information distribution, block error probability distribution or a signal-to-noise-and-interference ratio distribution; producing, by the terminal device, a measurement report that comprises the one or more distribution measures; and transmitting, by the terminal device, the measurement report to an access node of the wireless communication system.

公开(公告)号：US20250096875A1

公开(公告)日：2025-03-20

申请号：US18729238

申请日：2023-01-27

Applicant: Nokia Technologies Oy

Inventor： Kalle Petteri KELA ,  Teemu Mikael VEIJALAINEN

IPC: H04B7/06 ,  H04B7/08

Abstract: A user equipment comprises: means for determining at least one preferred beam for communication between the user equipment and a network node to be used in preference to a beam measured by the user equipment to have a highest quality; and means for reporting an indication of the at least one preferred beam to the network node.

公开(公告)号：US20240381152A1

公开(公告)日：2024-11-14

申请号：US18660760

申请日：2024-05-10

Applicant: Nokia Technologies Oy

Inventor： Jian SONG ,  Daniela LASELVA ,  Ahmad MASRI ,  Teemu Mikael VEIJALAINEN ,  Hans Thomas HÖHNE ,  Amaanat ALI

IPC: H04W24/10

Abstract: Disclosed is a method comprising providing, to a user equipment, a first configuration that is part of a radio resource control configuration for relaxation measurements, wherein the first configuration comprises legacy hardcoded rules and measurement relaxation parameters for executing a legacy measurement relaxation procedure, receiving a request, from the user equipment, for a second configuration that is for executing a machine learning-based measurement relaxation procedure, providing, to the user equipment, the second configuration, wherein the second configuration comprises one or more of the following: one or more algorithms for deriving relaxation parameters, a length of an evaluation time period, a set of evaluation conditions that are evaluated based on the evaluation time period, reporting periodicity and signal format for reporting a status of the measurement relaxation, receiving, from the user equipment, an indication that the status of the measurement relaxation corresponds to enter.