IP Library Granted Patent US 11,800,369
Granted Patent B2
US 11,800,369 · App. 18/201,422 · Granted Oct 24, 2023

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

Inventor: Armando Montalvo (Winter Garden, FL)
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 11,800,369
App. No.
18/201,422
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 (42)

1. A system for detecting interference in an electromagnetic environment comprising:

at least one sensor operable to capture a frequency, bandwidth, signal power, time, and/or location of at least one signal in the electromagnetic environment and create measured data based on the at least one signal;

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

wherein the at least one data analysis engine includes a detection engine, an identification engine, and a learning engine;

wherein the detection engine is operable to automatically detect the at least one signal;

wherein the identification engine uses signal profiling and/or comparison with at least one previously recorded signal profile in a database to identify a device or an emitter of the at least one signal and identify the at least one signal as interference;

wherein the learning engine receives information from the detection engine and the identification engine; and

wherein the learning engine is 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.

2. The system of claim 1 , wherein the system is operable to communicate with at least one base station regarding modification of parameters to resolve the interference.

3. The system of claim 1 , further comprising a certification and compliance application operable to determine if applications and/or devices are behaving according to rules and/or policies and/or if the applications and/or the devices are sharing frequency bands according to the rules and/or the policies.

4. The system of claim 1 , wherein the system is operable to detect at least one anomalous signal.

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

6. The system of claim 5 , wherein the survey occupancy application is operable to preprocess at least one signal that exists in a band with at least one other signal based on interference between the at least one signal and the at least one other signal.

7. The system of claim 1 , further comprising a server operable to use analyzed data from the at least one data analysis engine to create actionable data.

8. The system of claim 7 , wherein the actionable data is used with AI and/or ML algorithms to provide a predicted outcome based on at least one rule and/or at least one policy for at least one customer.

9. The system of claim 1 , wherein the data analysis engine further comprises a geolocation engine, wherein the geolocation engine is operable to identify a location from which the at least one signal is emitted.

10. The system of claim 1 , wherein the system is further operable to maintain a set of de-confliction rules.

11. The system of claim 10 , wherein the set of de-confliction rules are automatically established and/or wherein the set of de-confliction rules are operable to be edited.

12. The system of claim 1 , wherein the system is operable to provide trigger warning notifications and/or early warning notifications.

13. The system of claim 1 , wherein the learning engine is operable to reevaluate and/or update the electromagnetic environment at a predetermined timeframe and/or after interference is detected.

14. The system of claim 1 , further comprising a resource brokerage application operable to optimize resources based on data from the at least one sensor.

15. The system of claim 1 , further comprising a classification engine operable to classify the at least one signal based on spectral density, center frequency, bandwidth, baud rate, modulation type, protocol, system or carrier using licensed spectrum, location of a source of the at least one signal, and/or a timestamp of the at least one signal.

16. The system of claim 1 , further comprising a display device operable to display a map showing information relating to interference for a geographic area.

17. A system for detecting interference in an electromagnetic environment comprising:

at least one sensor operable to capture a frequency, bandwidth, signal power, time, and/or location of at least one signal in the electromagnetic environment and create measured data based on the at least one signal;

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

a survey occupancy application;

wherein the at least one data analysis engine includes a detection engine and an identification engine;

wherein the detection engine is operable to automatically detect the at least one signal;

wherein the identification engine identifies the at least one signal as interference;

wherein the survey occupancy application is operable to determine occupancy in at least one frequency band; and

wherein the survey occupancy application is operable to preprocess at least one signal that exists in a band with at least one other signal based on interference between the at least one signal and the at least one other signal.

18. The system of claim 17 , further comprising a classification engine operable to classify the at least one signal based on spectral density, center frequency, bandwidth, baud rate, modulation type, protocol, system or carrier using licensed spectrum, location of a source of the at least one signal, and/or a timestamp of the at least one signal.

19. A system for detecting interference in an electromagnetic environment comprising:

at least one sensor operable to capture a frequency, bandwidth, signal power, time, and/or location of at least one signal in the electromagnetic environment and create measured data based on the at least one signal;

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

a certification and compliance application;

wherein the at least one data analysis engine includes a detection engine and an identification engine;

wherein the detection engine is operable to automatically detect the at least one signal;

wherein the identification engine identifies the at least one signal as interference; and

wherein the certification and compliance application is operable to determine if applications and/or devices are behaving according to rules and/or policies and/or if the applications and/or the devices are sharing frequency bands according to the rules and/or the policies.

20. The system of claim 19 , further comprising a survey occupancy application operable to schedule occupancy in a frequency band.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 31, 2023
From: MONTALVO, ARMANDO
To: DIGITAL GLOBAL SYSTEMS, INC.
Reel/Frame 063803/0156 →
Continuity (6)
Continuation 17993344 · Nov 23, 2022
Continuation In Part 17529995 · Nov 18, 2021
Continuation 17390248 · Jul 30, 2021
Continuation 17085635 · Oct 30, 2020
Provisional Application 63018929 · May 1, 2020
Related Publication 20230300626A1 · Sep 21, 2023
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