Granted Patent B1

US 12,452,684 · App. 19/251,013 · Granted Oct 21, 2025

Inventor: Armando Montalvo (Winter Garden, FL)

Assignee: DIGITAL GLOBAL SYSTEMS, INC

H04W16/10H04W24/02H04W24/08H04W28/0925H04W28/0967H04W72/0453H04W16/14

Abstract

Claims (36)

1. A system for optimization of spectrum utilization in an electromagnetic environment, comprising:

at least one monitoring sensor operable to monitor the electromagnetic environment and to create measured data;

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

wherein the at least one data analysis engine includes an embedded artificial intelligence (AI) agent;

wherein the embedded AI agent is operable to make predictions about the electromagnetic environment based on the analyzed data;

wherein the embedded AI agent is operable to dynamically optimize network parameters based on customer goals and/or customer application requirements; and

wherein the embedded AI agent is operable to dynamically optimize Layer 1 (L1), Layer 2 (L2), and Layer 3 (L3) functions and/or parameters based on statistical learning techniques and/or control theory.

2. The system of claim 1 , wherein the at least one data analysis engine is operable to generate and select at least one parameter to store in a parameter block based on the measured data.

3. The system of claim 2 , wherein the embedded AI agent is operable to utilize AI and/or machine learning (ML) to dynamically adjust to the at least one parameter.

4. The system of claim 1 , further comprising at least one multi-network orchestration module operable to manage simultaneous operation of at least two wireless networks that contain at least two wireless signals.

5. The system of claim 4 , wherein the at least one multi-network orchestration module is operable to prioritize network traffic based on demand.

6. The system of claim 4 , wherein the at least one multi-network orchestration module allocates spectrum resources based on real-time network traffic demands and quality of service (Qos) requirements.

7. The system of claim 1 , further comprising at least one interference mitigation engine in communication with the embedded AI agent.

8. The system of claim 1 , further comprising at least one smart contract engine that utilizes blockchain technology to facilitate dynamic spectrum leasing and sharing between at least two telecommunication operators.

9. A system for optimization of spectrum utilization in an electromagnetic environment, comprising:

at least one monitoring sensor operable to monitor an electromagnetic environment and to create measured data;

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

wherein the at least one data analysis engine is operable to generate and select at least one parameter to store in a parameter block based on the measured data;

wherein the at least one data analysis engine includes an embedded artificial intelligence (AI) agent;

wherein the embedded AI agent is operable to make predictions about the electromagnetic environment based on the analyzed data; and

wherein the embedded AI agent is operable to dynamically optimize Layer 1 (L1), Layer 2 (L2), and Layer 3 (L3) functions and/or parameters based on statistical learning techniques and/or control theory.

10. The system of claim 9 , wherein the analyzed data includes at least one wireless signal.

11. The system of claim 9 , further comprising at least one smart contract engine operable to facilitate dynamic spectrum leasing between at least two telecommunication operators.

12. The system of claim 11 , wherein the embedded AI agent is operable to receive the at least one parameter from the at least one data analysis engine.

13. The system of claim 9 , further comprising a user-centric spectrum management module operable to personalize network performance enhancements.

14. The system of claim 13 , wherein the personalized network enhancements are based on at least one user need.

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

16. A method for optimization of spectrum utilization in an electromagnetic environment comprising:

monitoring the electromagnetic environment to create measured data with at least one monitoring sensor;

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

predicting the electromagnetic environment with an embedded artificial intelligence (AI) agent based on the analyzed data; and

dynamically optimizing Layer 1 (L1), Layer 2 (L2), and Layer 3 (L3) functions and/or parameters based on statistical learning techniques and/or control theory.

17. The method of claim 16 , wherein the embedded AI agent utilizes at least one AI algorithm and/or machine learning (ML) algorithm to refine a training model and adjust at least one parameter.

18. The method of claim 17 , wherein the embedded AI agent learns from previous spectrum allocation decisions.

19. The method of claim 16 , further comprising at least one smart contract engine managing dynamic spectrum leasing between at least two telecommunication operators.

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

Assignments (1)

Continuity (17)

References Cited (282)