View source for 18446951. MACHINE LEARNING MODEL VALIDATION FOR UE POSITIONING BASED ON REFERENCE DEVICE INFORMATION FOR WIRELESS NETWORKS simplified abstract (Nokia Technologies Oy)

=MACHINE LEARNING MODEL VALIDATION FOR UE POSITIONING BASED ON REFERENCE DEVICE INFORMATION FOR WIRELESS NETWORKS=


==Organization Name==

[[:Category:Nokia Technologies Oy|Nokia Technologies Oy]]


[[Category:Nokia Technologies Oy]]

==Inventor(s)==

[[:Category:Muhammad Ikram Ashraf of Espoo (FI)|Muhammad Ikram Ashraf of Espoo (FI)]][[Category:Muhammad Ikram Ashraf of Espoo (FI)]]

[[:Category:Teemu Mikael Veijalainen of Espoo (FI)|Teemu Mikael Veijalainen of Espoo (FI)]][[Category:Teemu Mikael Veijalainen of Espoo (FI)]]

[[:Category:Mikko S�ily of Espoo (FI)|Mikko S�ily of Espoo (FI)]][[Category:Mikko S�ily of Espoo (FI)]]

[[:Category:Oana-Elena Barbu of Aalborg (DK)|Oana-Elena Barbu of Aalborg (DK)]][[Category:Oana-Elena Barbu of Aalborg (DK)]]

[[:Category:Taylan Sahin of Munich (DE)|Taylan Sahin of Munich (DE)]][[Category:Taylan Sahin of Munich (DE)]]

[[:Category:Afef Feki of Massy (FR)|Afef Feki of Massy (FR)]][[Category:Afef Feki of Massy (FR)]]

[[:Category:Athul Prasad of Naperville IL (US)|Athul Prasad of Naperville IL (US)]][[Category:Athul Prasad of Naperville IL (US)]]

==MACHINE LEARNING MODEL VALIDATION FOR UE POSITIONING BASED ON REFERENCE DEVICE INFORMATION FOR WIRELESS NETWORKS - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18446951 titled 'MACHINE LEARNING MODEL VALIDATION FOR UE POSITIONING BASED ON REFERENCE DEVICE INFORMATION FOR WIRELESS NETWORKS

==Simplified Explanation==

The abstract describes a method where a first user device receives positioning measurement reports and reference positioning-related information from a network node or a second user device. The method involves using a machine learning model to determine estimated positioning-related information based on the positioning measurement reports, and then evaluating the performance of the machine learning model based on the reference information and the estimated information.

* The method involves receiving positioning measurement reports and reference positioning-related information.
* A machine learning model is used to determine estimated positioning-related information.
* The performance of the machine learning model is evaluated based on the reference information and the estimated information.
* Actions are performed based on the performance indication.

---

### Potential Applications
* Location-based services
* Indoor navigation systems
* Autonomous vehicles
* Asset tracking systems

### Problems Solved
* Improving accuracy of positioning systems
* Enhancing performance of machine learning models in positioning applications
* Streamlining testing and validation processes for positioning technologies

### Benefits
* Increased accuracy in determining positioning-related information
* Efficient testing and validation of machine learning models
* Enhanced performance of location-based services and navigation systems


==Original Abstract Submitted==

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.



[[Category:H04W64/00]]
[[Category:H04W28/02]]