Patents
US 12745109 B2: Neural network based signal-to-noise ratio prediction in mobile networks
- Granted
- 2026-09-22
- Filed
- 2024-05-28 application 18675729
- Type
- Utility · 20 claims
- Elsewhere
- Google Patents ↗ · USPTO patent document ↗ · USPTO Patent Center record ↗
Abstract
Predicting link outages in a mobile network. A method includes obtaining a first array of time series data comprising magnitude values of a first communication property beginning at a first time. A second array of time series data comprising angle values of a second communication property beginning at the first time, correlated to the first array is obtained. The first array is modulated with the second array to obtain a first modulated array. The first modulated array is normalized to obtain a first normalized modulated array. The first normalized modulated array is provided to a trained time-series forecasting model. As a result, one or more predicted SNR values are obtained from the trained time-series forecasting model.
Source: PTBLXML, file of 2026-09-22 (ipgb20260922.xml).
Assignees
| Assignee | Type | Place | Also on furp.org | Source |
|---|---|---|---|---|
| L3Harris Technologies, Inc. 160 patents | US company or organization | Melbourne, FL | PTBLXML, file of 2026-09-22 |
Inventors
| Inventor | Place | Patents | Person page | Source |
|---|---|---|---|---|
| Stephen N. Jenkins | Layton, UT | 7 | PTBLXML, file of 2026-09-22 | |
| Matthew R. Rohrer | South Jordan, UT | PTBLXML, file of 2026-09-22 | ||
| Chad S. Komer | Tooele, UT | 3 | PTBLXML, file of 2026-09-22 |
CPC categories
| Subclass | Category | First group | Source |
|---|---|---|---|
| H04W | Wireless communication networks | H04W24/02 | PTBLXML, file of 2026-09-22 |
| H04L | Transmission of digital information, e.g. telegraphic communication | H04L41/16 | PTBLXML, file of 2026-09-22 |
Cooperative Patent Classification, as currently assigned (one row per subclass).
Assignments and security interests
No recorded assignments or security interests on file for this patent.
USPTO bulk data: PatentsView granted patents, disambiguated (PVGPATDIS) for patents, assignees, inventors, places and CPC categories; the USPTO Patent Assignment Dataset (ECORSEXC) for assignments and security interests. Patents filed in the last 20 years. No claims or full text. Links to other records are by name (and state): EXACT means the identical full name and state; FUZZY means a looser name match, with the confidence shown.