Granted Patent B2

US 12,302,113 · App. 18/816,587 · Granted May 13, 2025

Inventor: Armando Montalvo (Winter Garden, FL)

Assignee: Digital Global Systems, Inc.

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

Abstract

Claims (36)

1. A system for dynamic spectrum allocation in an electromagnetic environment comprising:

at least one sensor operable to capture features of at least one signal in the electromagnetic environment to create measured data for the at least one signal;

at least one data analysis engine operable to analyze the measured data to create analyzed data; and

at least one smart contract engine;

wherein the at least one smart contract engine is operable to facilitate dynamic spectrum leasing between at least one telecommunications operator and at least one satellite operator;

wherein the at least one smart contract engine allocates at least one portion of the spectrum based on the analyzed data, traffic load, signal quality, and/or financial terms; and

wherein the at least one smart contract engine manages predefined agreements between the at least one telecommunications operator and the at least one satellite operator.

2. The system of claim 1 , wherein the at least one signal includes at least one satellite signal and/or at least one wireless network signal.

3. The system of claim 1 , wherein the at least one data analysis engine includes a classification engine and a learning engine.

4. The system of claim 3 , wherein the classification engine is operable to generate a query to a database to classify the at least one signal.

5. The system of claim 3 , wherein the learning engine is operable to learn the at least one signal.

6. The system of claim 1 , further comprising at least one server operable to use the analyzed data to create actionable data.

7. The system of claim 6 , wherein an artificial (AI) algorithm and/or a machine learning (ML) algorithm is applied to the actionable data to provide a predicted outcome.

8. The system of claim 1 , wherein the at least one data analysis engine further comprises a geolocation engine, wherein the geolocation engine is operable to identify a location from which the at least one signal is emitted.

9. The system of claim 1 , wherein the at least one data analysis engine is operable to utilize satellite and/or wireless network sensor data and/or camera data in analyzing the measured data.

10. The system of claim 1 , wherein the at least one data analysis engine is operable to utilize the analyzed data and at least one artificial intelligence (AI) algorithm and/or at least one machine learning (ML) algorithm to perform image analysis and/or pattern matching.

11. The system of claim 1 , further comprising a resource brokerage application operable to optimize resources based on interference or potential interference.

12. The system of claim 1 , wherein the measured data includes metadata from at least one satellite and/or at least one wireless network.

13. The system of claim 1 , further comprising a display device operable to display a map showing information relating to interference or potential interference for a geographic area.

14. A system for dynamic spectrum allocation in an electromagnetic environment comprising:

at least one sensor operable to capture features of at least one signal in the electromagnetic environment and create measured data for the at least one signal;

at least one data analysis engine operable to analyze the measured data to create analyzed data; and

at least one smart contract engine;

wherein the at least one data analysis engine includes a user-centric spectrum management module;

wherein the user-centric spectrum management module utilizes artificial intelligence (AI) and/or machine learning (ML) to analyze user behavior and/or usage patterns; and

wherein the at least one smart contract engine utilizes blockchain technology to facilitate dynamic spectrum leasing and/or sharing between at least one telecommunications operator and at least one satellite operator.

15. The system of claim 14 , wherein the user-centric spectrum management module is operable to allocate spectrum resources.

16. The system of claim 14 , wherein the features of the at least one signal include frequency, bandwidth, signal power, time, and/or location.

17. The system of claim 14 , wherein the at least one signal includes at least one satellite signal and/or at least one wireless network signal.

18. A method for dynamic spectrum allocation in an electromagnetic environment comprising:

at least one sensor capturing features of at least one signal in the electromagnetic environment and creating measured data based on the at least one signal;

at least one data analysis engine analyzing the measured data, creating analyzed data;

at least one user-centric spectrum management module utilizing artificial intelligence (AI) and/or machine learning (ML) identifying user behavior and/or usage patterns based on the analyzed data; and

at least one smart contract engine managing dynamic spectrum leasing between at least one telecommunications operator and at least one satellite operator using at least one smart contract.

19. The method of claim 18 , wherein the at least one telecommunication operator and the at least one satellite operator are operable to share spectrum resources.

20. The method of claim 18 , wherein the at least one signal includes at least one satellite signal and/or at least one wireless network signal.

Assignments (1)

Continuity (13)

References Cited (400)