Granted Patent B2

US 12,641,442 · App. 19/394,260 · Granted May 26, 2026

Inventor: Armando Montalvo (Winter Garden, FL)

Assignee: Digital Global Systems, Inc.

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

Abstract

Claims (48)

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

a Multi-Access Edge Computing (MEC) layer of a private wireless network including a radio access network (RAN) and a core network;

at least one sensor configured to monitor at least one signal in the electromagnetic environment and to create measured data; and

a wireless network resource optimization application in the MEC layer, wherein the wireless network resource optimization application includes at least one data analysis engine for analyzing the measured data to create analyzed data;

wherein the measured data is represented in a vector ensemble class for the at least one signal in the electromagnetic environment;

wherein the vector ensemble class includes a center frequency, bandwidth, signal-to-noise ratio, and/or time duration of the at least one signal in the electromagnetic environment;

wherein the at least one data analysis engine is configured to obtain statistical information and analyze possible interactions based on the center frequency and a combination of bandwidth and an upper and lower frequency component of the at least one signal in the electromagnetic environment;

wherein the wireless network resource optimization application is configured to use the analyzed data from the at least one data analysis engine and a constraint vector to create actionable data for optimizing network resources;

wherein the constraint vector is used to set an order of importance for usage of each of the network resources for the private wireless network; and

wherein the at least one data analysis engine utilizes propagation models to estimate spectrum utilization by at least one user, at least one user location, and/or at least one registered device.

2 . The system of claim 1 , wherein the actionable data for optimizing network resources includes data for reconfiguring at least one parameter of the core network and/or the MEC layer associated with the private wireless network slice.

3 . The system of claim 1 , wherein the network resources are optimized by changing at least one physical layer parameter of one or more customer devices and/or applications.

4 . The system of claim 1 , wherein the at least one sensor is included in a base station.

5 . The system of claim 1 , wherein the private network utilizes spectrum in a plurality of bands.

6 . The system of claim 5 , wherein the plurality of bands includes a Citizens Broadband Radio Service (CBRS) band.

7 . The system of claim 1 , wherein the private wireless network is configured to use Spectrum Access System (SaS) allocation methodology.

8 . The system of claim 1 , wherein the actionable data is related to at least one interference event.

9 . The system of claim 1 , wherein the wireless network resource optimization application is configured to generate at least one RAN command to change at least one RAN parameter.

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

a Multi-Access Edge Computing (MEC) layer of a private wireless network including a radio access network (RAN);

at least one sensor configured to monitor at least one signal the electromagnetic environment and to create measured data; and

a wireless network resource optimization application in the MEC layer network, wherein the wireless network resource optimization application includes at least one data analysis engine for analyzing the measured data to create analyzed data;

wherein the measured data is represented in a vector ensemble class for the at least one signal in the electromagnetic environment;

wherein the vector ensemble class includes a center frequency, bandwidth, signal-to-noise ratio, and/or time duration of the at least one signal in the electromagnetic environment;

wherein the at least one data analysis engine is configured to obtain statistical information and analyze possible interactions based on the center frequency and a combination of bandwidth and an upper and lower frequency component of the at least one signal in the electromagnetic environment;

wherein the at least one data analysis engine is configured to detect at least one signal interference event based on the analyzed data;

wherein the wireless network resource optimization application is configured to use the analyzed data, the at least one signal interference event and a constraint vector to create actionable data for optimizing network resources;

wherein the constraint vector is used to set an order of importance for usage of the network resources; and

wherein the at least one signal interference event is configured to be provided to a Spectrum Access System (SaS) to allow for reallocation of spectrum among network users.

11 . The system of claim 10 , wherein the private wireless network utilizes spectrum in a plurality of bands.

12 . The system of claim 11 , wherein the plurality of bands includes a Citizens Broadband Radio Service (CBRS) band.

13 . The system of claim 10 , wherein one or more of the at least one signal interference event is parameterized based on at least one intended service requirement.

14 . The system of claim 10 , wherein the wireless network resource optimization application is configured to generate at least one RAN command to change at least one RAN parameter.

15 . The system of claim 10 , wherein the at least one sensor is included in a base station.

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

providing a wireless network resource optimization application in a Multi-Access Edge Computing (MEC) layer of a private wireless network;

monitoring at least one signal in an electromagnetic environment related to the private wireless network using at least one sensor to create measured data;

analyzing the measured data using at least one data analysis engine to create analyzed data;

the wireless network resource optimization application creating actionable data using the analyzed data and a constraint vector; and

optimizing network resources of the private wireless network using the actionable data;

wherein the measured data is represented in a vector ensemble class for the at least one signal in the electromagnetic environment;

wherein the vector ensemble class includes a center frequency, bandwidth, signal-to-noise ratio, and/or time duration of the at least one signal in the electromagnetic environment;

wherein the at least one data analysis engine creates actionable data by obtaining statistical information and analyze possible interactions based on the center frequency and a combination of bandwidth and an upper and lower frequency component of the at least one signal in the electromagnetic environment; and

wherein the constraint vector is used to set an order of importance for usage of each of the network resources.

17 . The method of claim 16 , wherein the private wireless network utilizes spectrum in a plurality of bands, wherein the plurality of bands includes a Citizens Broadband Radio Service (CBRS) band, and wherein the actionable data includes use of spectrum in the CBRS band.

18 . The method of claim 17 , wherein the spectrum in the CBRS band is in a General Authorized Access (GAA) portion.

19 . The method of claim 17 , wherein the actionable data includes at least one interference event in the CBRS band, and the at least one interference event is provided to a Spectrum Access System (SaS) to allow for reallocation of spectrum among network users of the CBRS band.

20 . The method of claim 16 , wherein the at least one sensor is included in a base station.

Assignments (1)

Continuity (13)

References Cited (284)