IP Library Granted Patent US 11,800,368
Granted Patent B2
US 11,800,368 · App. 18/142,923 · Granted Oct 24, 2023

System, method, and apparatus for providing dynamic, prioritized spectrum management and utilization

Inventors: Armando Montalvo (Winter Garden, FL); Jeremy Levin (Virginia Beach, VA); 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
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Quick Facts
Patent No.
US 11,800,368
App. No.
18/142,923
Granted
Oct 24, 2023
Kind
B2
Abstract

Systems, methods, and apparatuses for providing dynamic, prioritized spectrum utilization management. The system includes at least one monitoring sensor, at least one data analysis engine, at least one application, a semantic engine, a programmable rules and policy editor, a tip and cue server, and/or a control panel. The tip and cue server is operable utilize the environmental awareness from the data processed by the at least one data analysis engine in combination with additional information to create actionable data.

Claims (37)

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

at least one data analysis engine for analyzing measured data based on a radiofrequency (RF) environment;

a semantic engine including a programmable rules and policy editor, wherein the semantic engine is in network communication with the at least one data analysis engine; and

a tip and cue server;

wherein the programmable rules and policy editor includes at least one rule and/or at least one policy;

wherein the semantic engine is operable to create a semantic map including target data;

wherein the tip and cue server is operable to use analyzed data from the at least one data analysis engine and information from the semantic engine to create actionable data; and

wherein the tip and cue server is operable to activate at least one alarm based on the actionable data.

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

3. The system of claim 2 , wherein the detection engine is operable to automatically detect at least one signal of interest using at least one mask.

4. The system of claim 1 , further including a resource brokerage application, 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.

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

6. The system of claim 1 , further including a survey occupancy application, wherein the survey occupancy application is operable to determine occupancy in frequency bands and schedule occupancy in at least one frequency band.

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

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

9. The system of claim 1 , wherein the actionable data indicates at least one signal of interest is behaving like a drone.

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

11. The system of claim 1 , wherein the semantic engine is operable to use Latent Semantic Indexing (LSI).

12. The system of claim 1 , wherein the semantic engine further includes a language dictionary.

13. The system of claim 1 , wherein the semantic map is formed using semantic fingerprinting and a Boolean vector.

14. The system of claim 1 , wherein the information from the semantic engine includes constraints associated with signal characteristics.

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

at least one data analysis engine for analyzing measured data based on a radiofrequency (RF) environment;

a semantic engine in network communication with the at least one data analysis engine; and

a tip and cue server;

wherein the semantic engine is operable to create a semantic map including target data;

wherein the tip and cue server is operable to use analyzed data from the at least one data analysis engine and information from the semantic engine to create actionable data; and

wherein the tip and cue server is operable to activate at least one alarm based on the actionable data.

16. The system of claim 15 , wherein the semantic engine is operable to receive queries, searches, and/or search-related functions using natural language processing (NLP).

17. The system of claim 15 , wherein the semantic engine further includes a language dictionary.

18. The system of claim 15 , wherein the semantic map is formed using semantic fingerprinting and a Boolean vector.

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

analyzing measured data from a radiofrequency (RF) environment using at least one data analysis engine, thereby creating analyzed data, wherein the at least one data analysis engine is in network communication with a semantic engine;

the semantic engine creating a semantic map including target data;

creating actionable data using a tip and cue server based on the analyzed data from the at least one data analysis engine and information from the semantic engine including constraints associated with signal characteristics; and

the tip and cue server activating at least one alarm based on the actionable data.

20. The method of claim 19 , further including generating at least one knowledge-based decision tree based on the actionable data.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 8, 2023
From: MONTALVO, ARMANDO; INMAN, DWIGHT
To: DIGITAL GLOBAL SYSTEMS, INC.
Reel/Frame 063560/0494 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 8, 2023
From: LEVIN, JEREMY; HUMMEL, EDWARD
To: DIGITAL GLOBAL SYSTEMS, INC.
Reel/Frame 063560/0502 →
Continuity (6)
Continuation 18081356 · Dec 14, 2022
Continuation 17901354 · Sep 1, 2022
Continuation 17464193 · Sep 1, 2021
Continuation 17085635 · Oct 30, 2020
Provisional Application 63018929 · May 1, 2020
Related Publication 20230269593A1 · Aug 24, 2023
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