公开(公告)号：US20250048319A1

公开(公告)日：2025-02-06

申请号：US18789597

申请日：2024-07-30

Applicant: Nokia Technologies Oy

Inventor： Deepa MALAPATI RAVINDRAIAH ,  Fahad SYED MUHAMMAD ,  Afef FEKI ,  Dimitri GOLD ,  Muhammad Ikram ASHRAF

IPC: H04W64/00 ,  G06N5/04

Abstract: Systems, methods, apparatuses, and computer program products for verifying positioning accuracy. One method may include transmitting, by testing equipment, a request to measure location coordinates to a device, receiving, by the testing equipment, from the device, a model inference comprising at least one location coordinate, and determining, by the testing equipment, whether a difference between the model inference and at least one ground truth is within a threshold value for a defined number of samples, wherein the at least one ground truth comprises at least one known location coordinate of a test point.

公开(公告)号：US20250030586A1

公开(公告)日：2025-01-23

申请号：US18777915

申请日：2024-07-19

Applicant: Nokia Technologies Oy

Inventor： Sahan Damith LIYANAARACHCHI ,  Traian ABRUDAN ,  Selahattin GOKCELI ,  Mikko SÄILY ,  Muhammad Ikram ASHRAF

IPC: H04L27/26 ,  H04L5/00

Abstract: According to an example aspect of the present invention, there is provided an apparatus configured to transmit, to a network, a first sounding reference signal, obtain, from the first sounding reference signal and based on a peak-to-average power ratio, PAPR, adjustment signal received in the apparatus from the network, a second sounding reference signal with lower PAPR than the first sounding reference signal, and transmit, to the network, the second sounding reference signal.

公开(公告)号：US20240152814A1

公开(公告)日：2024-05-09

申请号：US18500388

申请日：2023-11-02

Applicant: Nokia Technologies Oy

Inventor： Afef FEKI ,  Muhammad Ikram ASHRAF ,  Oana-Elena BARBU ,  Athul PRASAD

IPC: G06N20/00

CPC classification number: G06N20/00

Abstract: A method comprising: determining at a first device a requirement for a spatial distribution associated with training samples for a machine learning model, wherein the machine learning model is used in solving a positioning task; performing at least one of: transmitting, to the second device, information indicating the requirement for training the machine learning model, or training the machine learning model by using a training dataset comprising training samples satisfying the requirement.

公开(公告)号：US20240057004A1

公开(公告)日：2024-02-15

申请号：US18260552

申请日：2022-01-11

Applicant: Nokia Technologies Oy

Inventor： Muhammad Ikram ASHRAF ,  Thomas Haaning JACOBSEN ,  Zexian LI ,  Ryan KEATING

IPC: H04W56/00 ,  H04J3/06

CPC classification number: H04W56/0045 ,  H04J3/0661

Abstract: Systems, methods, apparatuses, and computer program products for Rx-Tx RTT estimation are provided. One method may include transmitting, by a network element, the reference signal to another network element and recording a time stamp (t0) of a time of transmission of the reference signal, and receiving an estimated Rx-Tx measurement from said another network element and recording a time stamp (t3) of a time of receipt of the estimated Rx-Tx measurement. The method may also include calculating a Rx-Tx measurement at the network element based on a difference between the time stamp (t0) of the time of transmission of the reference signal and the time stamp (t3) of the receipt of the estimated Rx-Tx measurement, and determining a propagation delay based on a difference between the received estimated Rx-Tx measurement and the calculated Rx-Tx measurement.