Granted Patent B1

US 11,985,510 · App. 18/405,600 · Granted May 14, 2024

Inventors: Armando Montalvo (Winter Garden, FL); Dwight Inman (Travelers Rest, SC); Edward Hummel (Hillsborough, 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 (50)

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

at least one monitoring sensor operable to monitor the electromagnetic environment, thereby creating measured data;

at least one data analysis engine for analyzing the measured data;

at least one application;

an operational engine including a programmable rules and policy editor; and

at least one server;

wherein the at least one application includes a survey occupancy application and a resource brokerage application, wherein the survey occupancy application is operable to schedule occupancy in at least one frequency band, and wherein the resource brokerage application is operable to optimize resources to improve performance of at least one customer application and/or at least one customer device;

wherein the programmable rules and policy editor includes at least one rule and/or at least one policy, and wherein one or more of the at least one rule and/or the at least one policy is defined by at least one customer;

wherein the at least one server is in communication with the at least one data analysis engine and the application;

wherein the application is in communication with the operational engine;

wherein the at least one server is operable to use analyzed data from the at least one data analysis engine to create actionable data;

wherein each of the at least one customer application is assigned a priority; and

wherein the survey occupancy application is operable to use the priority, the one or more of the at least one rule and/or the at least one policy, and the actionable data to dynamically allocate the at least one frequency band in the electromagnetic spectrum.

2. The system of claim 1 , wherein the at least one monitoring sensor includes at least one antenna, at least one antenna array, at least one radio server, and/or at least one software defined radio.

3. The system of claim 1 , further comprising a customer optimization module operable to send the actionable data to the operational engine for implementation of the actionable data.

4. The system of claim 1 , wherein the survey occupancy application is operable to determine occupancy in frequency bands.

5. The system of claim 1 , further comprising a learning engine operable to learn the electromagnetic environment using machine learning (ML), artificial intelligence (AI), deep learning (DL), neural networks (NNs), artificial neural networks (ANNs), support vector machines (SVMs), Markov decision process (MDP), natural language processing (NLP), control theory, and/or statistical learning techniques.

6. The system of claim 1 , wherein the at least one application further includes a certification and compliance application, wherein the certification and compliance application is operable to determine if the at least one customer application and/or the at least one customer device is behaving according to the at least one rule and/or the at least one policy.

7. The system of claim 1 , wherein the actionable data is used to generate at least one knowledge-based decision tree.

8. The system of claim 1 , wherein the at least one server includes a tip and cue server.

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

at least one monitoring sensor operable to monitor the electromagnetic environment, thereby creating measured data;

at least one data analysis engine for analyzing the measured data;

at least one application;

an operational engine including a programmable rules and policy editor; and

at least one server;

wherein the at least one data analysis engine is operable to automatically detect at least one signal of interest and learn the electromagnetic environment;

wherein the at least one application includes a survey occupancy application and a resource brokerage application, wherein the survey occupancy application is operable to determine occupancy in frequency bands and schedule occupancy in at least one frequency band, and wherein the resource brokerage application is operable to optimize resources to improve performance of at least one customer application and/or at least one customer device;

wherein the programmable rules and policy editor includes at least one rule and/or at least one policy, and wherein one or more of the at least one rule and/or the at least one policy is defined by at least one customer;

wherein the at least one server is operable to use analyzed data from the at least one data analysis engine to create actionable data;

wherein each of the at least one customer application is assigned a priority; and

wherein the priority and the one or more of the at least one rule and/or the at least one policy are used to allocate the at least one frequency band in the electromagnetic spectrum.

10. The system of claim 9 , further comprising a customer optimization module operable to send the actionable data to the operational engine for implementation of the actionable data.

11. The system of claim 9 , further comprising a learning engine operable to learn the electromagnetic environment using machine learning (ML), artificial intelligence (AI), deep learning (DL), neural networks (NNs), artificial neural networks (ANNs), support vector machines (SVMs), Markov decision process (MDP), natural language processing (NLP), control theory, and/or statistical learning techniques.

12. The system of claim 9 , wherein the at least one application further includes a certification and compliance application, wherein the certification and compliance application is operable to determine if the at least one customer application and/or the at least one customer device is behaving according to the at least one rule and/or the at least one policy.

13. The system of claim 9 , wherein the at least one server includes a tip and cue server.

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

providing an operational engine including a programmable rules and policy editor, wherein the programmable rules and policy editor includes at least one rule and/or at least one policy, and wherein one or more of the at least one rule and/or the at least one policy is defined by at least one customer;

monitoring the electromagnetic environment using at least one monitoring sensor, thereby creating measured data;

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

determining occupancy in frequency bands and scheduling occupancy in at least one frequency band using a survey occupancy application;

optimizing resources to improve performance of at least one customer application and/or at least one customer device using a resource brokerage application;

assigning a priority to each of the at least one customer application; and

dynamically allocating the at least one frequency band in the electromagnetic spectrum based on the priority and the one or more of the at least one rule and/or the at least one policy.

15. The method of claim 14 , further comprising creating actionable data using the analyzed data from the at least one data analysis engine.

16. The method of claim 15 , further comprising sending the actionable data to the operational engine for implementation of the actionable data.

17. The method of claim 14 , further including a certification and compliance application determining if the at least one customer application and/or the at least one customer device is behaving according to the at least one rule and/or the at least one policy.

18. The method of claim 14 , wherein the at least one monitoring sensor includes at least one antenna, at least one antenna array, at least one radio server, and/or at least one software defined radio.

19. The method of claim 14 , further comprising learning the electromagnetic environment using machine learning (ML), artificial intelligence (AI), deep learning (DL), neural networks (NNs), artificial neural networks (ANNs), support vector machines (SVMs), Markov decision process (MDP), natural language processing (NLP), control theory, and/or statistical learning techniques.

20. The method of claim 14 , further comprising determining an impact of interference on customer goals and/or customer operations and allocating the at least one frequency band in the electromagnetic spectrum based on the determined impact of the interference.

Assignments (2)

Continuity (7)

Cited By (116)

US 12,192,777 US 12,200,500 US 12,212,974 US 12,219,365 US 12,231,903 US 12,231,904 US 12,231,905 US 12,238,527 US 12,245,045 US 12,256,225 US 12,256,226 US 12,256,227 US 12,256,228 US 12,262,211 US 12,262,213 US 12,262,215 US 12,262,217 US 12,267,688 US 12,267,692 US 12,273,727 US 12,273,731 US 12,273,734 US 12,279,126 US 12,279,127 US 12,284,528 US 12,289,601 US 12,294,866 US 12,302,112 US 12,302,113 US 12,302,114 US 12,302,119 US 12,309,599 US 12,309,600 US 12,309,601 US 12,309,602 US 12,309,603 US 12,309,608 US 12,317,089 US 12,317,093 US 12,323,811 US 12,323,812 US 12,323,813 US 12,328,589 US 12,328,590 US 12,335,742 US 12,348,976 US 12,363,548 US 12,363,549 US 12,369,039 US 12,369,043 US 12,375,930 US 12,382,298 US 12,382,302 US 12,382,303 US 12,389,232 US 12,389,233 US 12,395,851 US 12,395,852 US 12,395,853 US 12,395,856 US 12,395,857 US 12,402,013 US 12,413,984 US 12,425,869 US 12,425,870 US 12,432,571 US 12,439,263 US 12,439,264 US 12,439,270 US 12,452,680 US 12,452,681 US 12,452,682 US 12,452,686 US 12,457,501 US 12,464,365 US 12,464,366 US 12,464,371 US 12,470,944 US 12,477,349 US 12,490,102 US 12,495,305 US 12,495,306 US 12,501,270 US 12,501,271 US 12,501,273 US 12,501,275 US 12,513,528 US 12,538,134 US 12,543,048 US 12,549,953 US 12,563,402 US 12,563,407 US 12,568,380 US 12,574,742 US 12,574,743 US 12,574,744 US 12,574,754 US 12,574,755 US 12,581,314 US 12,587,865 US 12,598,473 US 12,604,199 US 12,604,206 US 12,610,242 US 12,610,243 US 12,610,244 US 12,621,672 US 12,621,673 US 12,621,674 US 12,634,704 US 12,634,705 US 12,634,706 US 12,634,707 US 12,641,441 US 12,641,443 US 12,689,910