Granted Patent B2

US 12,621,673 · App. 19/179,345 · Granted May 5, 2026

Inventor: Armando Montalvo (Winter Garden, FL)

Assignee: Digital Global Systems, Inc.

H04W16/10G06F30/27G06N3/02G06N5/022G06N5/04G06N20/00G06N20/10G06N20/20H04L41/0893H04L41/16H04W24/02H04W72/0453G06N3/042G06N3/045H04L41/0894H04W16/14H04W24/08

Abstract

Claims (24)

1 . A system for dynamic, prioritized spectrum utilization management in an electromagnetic environment comprising:

at least one data analysis engine for analyzing measured data from the electromagnetic environment; and

at least one machine learning engine for learning the electromagnetic environment and/or making predictions about the electromagnetic environment;

wherein the system is operable to provide the spectrum utilization management in the electromagnetic environment based on the measured data and/or information from the at least one machine learning engine.

2 . The system of claim 1 , further comprising at least one monitoring sensor including at least one antenna for creating the measured data from the electromagnetic environment.

3 . The system of claim 2 , wherein the at least one antenna includes a directional antenna.

4 . The system of claim 2 , wherein the at least one monitoring sensor includes at least one antenna array.

5 . The system of claim 1 , further comprising a survey occupancy application, wherein the survey occupancy application is operable to determine occupancy in frequency bands.

6 . The system of claim 5 , wherein the survey occupancy application is operable to preprocess at least two signals that exist in one frequency band.

7 . The system of claim 1 , wherein the at least one machine learning engine utilizes statistical learning techniques and/or control theory.

8 . The system of claim 1 , wherein the system is operable to provide information on open space.

9 . The system of claim 8 , wherein the system is operable to provide the information on the open space in real time.

10 . An apparatus for dynamic, prioritized spectrum utilization management in an electromagnetic environment comprising:

at least one machine learning engine operable to learn the electromagnetic environment and/or make predictions about the electromagnetic environment based on measured data from the electromagnetic environment;

wherein the at least one machine learning engine is operable to control at least one monitoring sensor and/or use actionable data to provide results and/or solutions.

11 . The apparatus of claim 10 , wherein the at least one machine learning engine utilizes statistical learning techniques and/or control theory.

12 . The apparatus of claim 10 , further comprising a survey occupancy application operable to determine occupancy in frequency bands.

13 . The apparatus of claim 12 , wherein the survey occupancy application is operable to preprocess at least two signals that exist in a same band.

14 . A method for dynamic, prioritized spectrum utilization management in an electromagnetic environment comprising:

at least one data analysis engine analyzing measured data from the electromagnetic environment to create analyzed data;

at least one machine learning engine learning the electromagnetic environment and/or making predictions about the electromagnetic environment based on the analyzed data; and

providing results and/or solutions based on policies using actionable data from the at least one machine learning engine.

15 . The method of claim 14 , wherein the at least one machine learning engine is in communication with the at least one data analysis engine.

16 . The method of claim 14 , wherein the at least one machine learning engine utilizes statistical learning techniques and/or control theory.

Assignments (1)

Continuity (12)

References Cited (400)