Granted Patent B1

US 11,190,946 · App. 17/390,248 · Granted Nov 30, 2021

Inventor: Armando Montalvo (Winter Garden, FL)

Assignee: DIGITAL GLOBAL SYSTEMS, INC.

H04W16/10G06N20/00H04L41/0893H04W24/02H04W72/0453

Abstract

Claims (73)

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 and create measured data based on the electromagnetic environment;

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

at least one application;

a semantic engine including a programmable rules and policy editor; and

a tip and cue server;

wherein the at least one data analysis engine includes a detection engine and a learning engine, wherein the detection engine is operable to automatically detect at least one signal of interest, and wherein the learning engine is operable to 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 tip and cue 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 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 2 , wherein the at least one antenna array includes at least one steerable antenna array.

4. The system of claim 1 , wherein one or more of the at least one monitoring sensor is mounted on a drone, a vehicle, in or on a street light, in or on a traffic pole, and/or on top of a building.

5. The system of claim 1 , wherein one or more of the at least one monitoring sensor is integrated with at least one camera to capture video and/or still images.

6. The system of claim 1 , wherein the at least one data analysis engine further includes an identification engine, a classification engine, and a geolocation engine.

7. The system of claim 6 , wherein the geolocation engine is operable to determine a location of the at least one signal of interest based on an angle of arrival, a time difference of arrival, a frequency difference of arrival, and power distribution ratio measurements.

8. The system of claim 6 , wherein the classification engine is operable to generate a query to a static database to classify the at least one signal of interest.

9. The system of claim 1 , wherein the detection engine is operable to automatically detect the at least one signal of interest using at least one mask.

10. 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.

11. The system of claim 1 , wherein the tip and cue server is operable to activate an alarm and/or provide at least one report related to optimization objectives of the at least one customer.

12. The system of claim 1 , wherein the semantic engine is operable to receive queries, searches, and/or search-related functions using natural language.

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

14. The system of claim 1 , wherein the actionable data indicates that one or more of the at least one signal is behaving like a drone.

15. The system of claim 1 , wherein the actionable data indicates a location for at least one macrosite and/or at least one tower.

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

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

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

at least one application;

a semantic engine including a programmable rules and policy editor; and

a tip and cue server;

wherein the at least one data analysis engine includes a detection engine, an identification engine, a classification engine, a geolocation engine, and a learning engine, wherein the detection engine is operable to automatically detect at least one signal of interest, and wherein the learning engine is operable to 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 tip and cue 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 dynamically allocate the at least one frequency band in the electromagnetic spectrum.

17. The system of claim 16 , wherein the tip and cue server is operable to activate an alarm and/or provide at least one report related to optimization objectives of the at least one customer.

18. The system of claim 16 , wherein the geolocation engine is operable to determine a location of the at least one signal of interest based on an angle of arrival, a time difference of arrival, a frequency difference of arrival, and power distribution ratio measurements.

19. The system of claim 16 , 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.

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

providing a semantic 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 and creating measured data based on the electromagnetic environment;

analyzing the measured data using at least one data analysis engine, thereby creating analyzed data, wherein the at least one data analysis engine includes a detection engine and a learning engine;

learning the electromagnetic environment using the learning engine;

automatically detecting at least one signal of interest using the detection engine;

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.

21. The method of claim 20 , further including a tip and cue server creating actionable data using the analyzed data from the at least one data analysis engine.

22. The method of claim 20 , 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.

23. The method of claim 20 , further including a geolocation engine determining the location of the at least one signal of interest based on an angle of arrival, a time difference of arrival, a frequency difference of arrival, and power distribution ratio measurements.

24. The method of claim 20 , further including a classification engine generating a query to a static database to classify the at least one signal of interest.

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

providing a semantic 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 and creating measured data based on the electromagnetic environment;

analyzing the measured data using at least one data analysis engine, thereby creating analyzed data, wherein the at least one data analysis engine includes a detection engine and a learning engine;

learning the electromagnetic environment using the learning engine;

automatically detecting at least one signal of interest using the detection engine;

classifying the at least one signal of interest using the classification engine;

identifying the at least one signal of interest using the identification engine;

determining a location of the at least one signal of interest using the geolocation engine;

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.

26. The method of claim 25 , further including a tip and cue server creating actionable data using the analyzed data from the at least one data analysis engine.

27. The method of claim 25 , 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.

28. The method of claim 25 , wherein the learning engine learns information from the detection engine, the classification engine, the identification engine, and/or the geolocation engine.

29. The method of claim 25 , wherein the geolocation engine determines the location of the at least one signal of interest based on an angle of arrival, a time difference of arrival, a frequency difference of arrival, and power distribution ratio measurements.

30. The method of claim 25 , wherein the semantic engine is operable to receive queries, searches, and/or search-related functions using natural language.

Assignments (1)

Continuity (2)

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