Similarity learning for crowd-sourced positioning
US12349100B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 14, 2022 |
| Grant date | Jul 1, 2025 |
| Priority date | — |
| Expiry date | Sep 21, 2043 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04W64/00
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
Aspects presented herein may enhance the accuracy and/or latency of UE positioning based on crowd-sourcing, where a network entity may compute a position estimate of a UE based on neighbor-cell scan data from the UE and one or more reference UEs. In one aspect, a network entity receives a first set of measurements associated with at least one cell from a UE. The network entity performs a position estimation of the UE based on at least one of the first set of measurements associated with the at least one cell, a second set of measurements for each of a set of reference UEs, or a location of each of the set of reference UEs via an ML model, where the UE and the set of reference UEs include at least one common cell.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.