Granted Patent B2

US 12,549,954 · App. 19/285,645 · Granted Feb 10, 2026

Inventor: Armando Montalvo (Winter Garden, FL)

Assignee: Digital Global Systems, Inc.

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

Abstract

Claims (49)

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

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

at least one smart contract engine;

at least one statistical inference engine operable to statistically learn and predict the electromagnetic environment based on the analyzed data and at least one customer goal;

at least one detection engine operable to perform automatic signal detection (ASD); and

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;

wherein the at least one detection engine is operable to create a mask using a first derivative and a second derivative of power values detected and highlight at least one unexpected signal to identify interference between the at least two wireless signals;

wherein the at least one statistical inference engine includes a statistical inference reasoner operable to optimize parameters via parameter filters including the at least one customer goal, network parametrization, and actionable data;

wherein the at least one smart contract engine is operable to utilize blockchain technology to facilitate dynamic spectrum leasing and sharing between at least two telecommunication operators;

wherein the at least one smart contract engine allocates spectrum based on predefined conditions including traffic load, signal quality, and financial terms; and

wherein the at least one smart contract engine is operable to reduce operational costs based on the predefined conditions.

2 . The system of claim 1 , further comprising at least one artificial intelligence (AI) agent, wherein the at least one AI agent is a statistical inference reasoner AI agent operable to optimize spectrum utilization based on a user-centric spectrum management module.

3 . The system of claim 1 , further comprising at least one interference mitigation engine operable to dynamically adjust the parameters based on the interference between the at least two wireless signals and predicted interference patterns.

4 . The system of claim 1 , wherein the at least one multi-network orchestration module coordinates allocation of spectrum resources for the at least two wireless networks.

5 . The system of claim 1 , wherein the at least two wireless signals include at least one 4G, 5G, and/or 6G signal.

6 . The system of claim 1 , wherein the at least one multi-network orchestration module is operable to prioritize network traffic based on demand.

7 . The system of claim 1 , 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.

8 . The system of claim 1 , further comprising at least one customer goal AI agent coupled to at least one other AI agent in a plurality of AI agents for spectrum utilization optimization.

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

at least one detection engine operable to perform automatic signal detection;

at least one smart contract engine;

at least one statistical inference engine operable to statistically learn and predict the electromagnetic environment based on at least one customer goal; and

at least one user-centric spectrum management module;

wherein the at least one smart contract engine utilizes blockchain technology to facilitate dynamic spectrum leasing and sharing between at least two telecommunication operators;

wherein the at least one smart contract engine is operable to reduce operational costs based on predefined conditions;

wherein the at least one detection engine is operable to create a mask using a first derivative and a second derivative of power values detected and highlight at least one unexpected signal to identify interference between at least two wireless signals;

wherein the at least one statistical inference engine includes a statistical inference reasoner operable to optimize parameters via parameter filters including the at least one customer goal, network parametrization, and actionable data; and

wherein the at least one user-centric spectrum management module utilizes at least one statistical inference reasoner artificial intelligence (AI) agent operable to analyze user behavior and/or usage patterns.

10 . The system of claim 9 , wherein the user-centric spectrum management module prioritizes bandwidth allocation for critical customers and/or applications.

11 . The system of claim 9 , wherein the at least one user-centric spectrum management module is operable to allocate spectrum resources.

12 . The system of claim 11 , wherein the spectrum resource allocation is based on at least one user profile and/or at least one user preference.

13 . The system of claim 9 , wherein the at least one user-centric spectrum management module is 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 sensor;

performing automatic signal detection with at least one detection engine;

statistically learning and predicting the electromagnetic environment based on at least one customer goal with at least one statistical inference engine;

creating a mask using a first derivative and a second derivative of power values detected and highlighting at least one unexpected signal to identify interference between at least two wireless signals with the at least one detection engine;

managing simultaneous operation of at least two wireless networks containing the at least two wireless signals;

using blockchain technology to manage dynamic spectrum leasing between at least two telecommunication operators with at least one smart contract engine;

reducing operational costs based on predefined conditions with the at least one smart contract engine;

optimizing, by a statistical inference reasoner of the at least one statistical inference engine, parameters via parameter filters including the at least one customer goal, network parametrization, and actionable data; and

optimizing spectrum utilization via at least one artificial intelligence (AI) agent;

wherein the at least one AI agent is a statistical inference reasoner AI agent.

17 . The method of claim 16 , wherein the at least one AI agent further comprises at least one customer goal AI agent.

18 . The method of claim 16 , wherein the at least one smart contract engine allocates spectrum based on the predefined conditions including traffic load, signal quality, and financial terms.

19 . The method of claim 16 , wherein the at least two telecommunication operators share spectrum resources.

20 . The method of claim 16 , wherein the at least one smart contract engine manages predefined agreements between the at least two telecommunication operators.

Assignments (1)

Continuity (18)

References Cited (284)