Granted Patent B2

US 12,413,984 · App. 18/818,076 · Granted Sep 9, 2025

Inventors: Armando Montalvo (Winter Garden, FL); Bryce Simmons (Maplewood, NJ)

Assignee: Digital Global Systems, Inc.

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

Abstract

Claims (47)

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

at least one sensor operable to create measured data based on the electromagnetic environment;

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

at least one interference mitigation engine;

at least one multi-network orchestration module; and

at least one smart contract engine;

wherein the measured data includes data for at least two Wireless Medical Telemetry Service (WMTS) signals;

wherein the at least one data analysis engine is operable to identify the at least two WMTS signals;

wherein the at least one data analysis engine is operable to use artificial intelligence (AI) and/or machine learning (ML) to dynamically allocate spectrum for the at least two WMTS signals;

wherein the at least one interference mitigation engine is operable to identify interference between the at least two WMTS signals;

wherein the at least one multi-network orchestration module is operable to allocate spectrum resources for at least two WMTS operations relating to the at least two WMTS signals; and

wherein the allocation of spectrum resources depends upon the WMTS operation priority.

2. The system of claim 1 , wherein the at least one interference mitigation engine utilizes ML to predict interference patterns between the at least two WMTS signals.

3. The system of claim 1 , wherein the at least one data analysis engine includes a detection engine, an identification engine, and/or a classification 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 two WMTS signals.

5. The system of claim 4 , wherein the database includes WMTS frequency data from at least one American Society for Healthcare Engineering of the American Hospital Association (ASHE/AHA) database.

6. The system of claim 1 , wherein the at least one data analysis engine includes at least one AI agent.

7. The system of claim 6 , wherein the at least one AI agent is operable to operable to dynamically adjust signal parameters of the at least two WMTS signals.

8. The system of claim 1 , wherein the at least one multi-network orchestration module allocates the spectrum resources based on the analyzed data, real-time traffic demands, and/or quality of service (QOS) requirements.

9. The system of claim 1 , further comprising at least one smart contract engine utilizing blockchain technology to facilitate dynamic spectrum leasing and sharing between the at least two WMTS operators.

10. A system for spectrum management in an electromagnetic environment comprising:

at least one sensor operable to create measured data based on the electromagnetic environment;

at least one interference mitigation engine;

at least one multi-network orchestration module; and

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

wherein the measured data includes data for at least two Wireless Medical Telemetry Service (WMTS) signals;

wherein the at least one data analysis engine includes at least one artificial intelligence (AI) agent operable to dynamically adjust signal parameters of the at least two WMTS signals;

wherein the at least one AI agent is operable to use AI and/or machine learning (ML) on the analyzed data to identify patterns and/or trends for the at least two WMTS signals;

wherein the at least one multi-network orchestration module is operable to manage simultaneous spectrum resource allocation of at least two WMTS operations; and

wherein the at least one interference mitigation engine is operable to communicate with the at least one AI agent.

11. The system of claim 10 , wherein the at least two WMTS operations relate to the at least two WMTS signals.

12. The system of claim 10 , further comprising at least one smart contract engine operable to facilitate dynamic spectrum leasing between at least two WMTS operators.

13. The system of claim 10 , further comprising a user-centric spectrum management module operable to personalize network performance enhancements based on at least one user need.

14. The system of claim 12 , wherein the at least one user need includes low-latency connection and/or high-bandwidth requirements.

15. A method for spectrum management in an electromagnetic environment comprising:

creating measured data based on the electromagnetic environment using at least one sensor;

analyzing the measured data using at least one data analysis engine to create analyzed data;

identifying at least two Wireless Medical Telemetry Service (WMTS) signals using the at least one data analysis engine based on the measured data;

the at least one data analysis engine using artificial intelligence (AI) and/or machine learning (ML) to dynamically allocate spectrum for the at least two WMTS signals;

at least one AI agent of the at least one data analysis engine dynamically adjusting signal parameters of the at least two WMTS signals;

at least one interference mitigation engine identifying and mitigating interference between the at least two WMTS signals based on communication from the AI agent; and

at least one multi-network orchestration module managing simultaneous operation of at least two WMTS operations relating to the at least two WMTS signals.

16. The method of claim 15 , wherein the at least one AI agent includes at least one training model.

17. The method of claim 16 , wherein the at least one AI agent dynamically adjusts the at least one training model based on feedback from the electromagnetic environment.

18. The method of claim 17 , wherein the feedback from the electromagnetic environment includes previous spectrum allocation decisions.

19. The method of claim 15 , further comprising at least one smart contract engine managing dynamic spectrum leasing between at least two WMTS operators.

20. The method of claim 19 , wherein the at least two WMTS operators share spectrum resources.

Assignments (1)

Continuity (11)

References Cited (400)