IP Library Granted Patent US 12,507,075
Granted Patent B2
US 12,507,075 · App. 19/202,623 · Granted Dec 23, 2025

System, method, and apparatus for providing optimized network resources

Inventor: Armando Montalvo (Winter Garden, FL)
Assignee: Digital Global Systems, Inc.
H04W16/10H04W24/02H04W24/08H04W28/0925H04W28/0967H04W72/0453H04W16/14
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Quick Facts
Patent No.
US 12,507,075
App. No.
19/202,623
Granted
Dec 23, 2025
Kind
B2
Abstract

Systems, methods, and apparatuses for providing optimization of network resources. The system is operable to monitor the electromagnetic environment, analyze the electromagnetic environment, and extract environmental awareness of the electromagnetic environment. The system extracts the environmental awareness of the electromagnetic environment by including customer goals. The system is operable to use the environmental awareness with the customer goals and/or user defined policies and rules to extract actionable information to help the customer optimize the network resources.

Claims (42)

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

a network slice or a subnetwork of a private wireless network, wherein the network slice or the subnetwork of the private wireless network includes a radio access network (RAN) and a core network;

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

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

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

a wireless network resource optimization application in the network slice or subnetwork of the private wireless network, wherein the wireless network resource optimization application includes at least one data analysis engine configured to obtain statistical information and/or analyze possible interactions based on the center frequency and the bandwidth for each signal in the electromagnetic environment for analyzing the measured data to create analyzed data;

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

wherein the constraint vector is used to set an order of importance for usage of each network resource of 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 in at least one user location by 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 a Multi-Access Edge Computing (MEC) layer associated with the network slice or the subnetwork of the private wireless network.

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 private network utilizes spectrum in a plurality of bands.

5 . The system of claim 4 , wherein the plurality of bands includes a Citizens Broadband Radio Service (CBRS) band.

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

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

8 . 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.

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

a network slice or a subnetwork of a private wireless network, wherein the network slice or the subnetwork of the private wireless network includes a radio access network (RAN);

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

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

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

a wireless network resource optimization application in the network slice or the subnetwork of the private wireless network, wherein the wireless network resource optimization application includes at least one data analysis engine configured to obtain statistical information and/or analyze possible interactions based on the center frequency and the bandwidth for each signal in the electromagnetic environment for analyzing the measured data to create analyzed data;

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/or and a constraint vector to create actionable data for optimizing network resources of the private wireless network; wherein the constraint vector is used to set an order of importance for usage of each network resource of the private wireless network; 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.

10 . The system of claim 9 , wherein the private wireless network utilizes spectrum in a plurality of bands.

11 . The system of claim 10 , wherein the plurality of bands includes a Citizens Broadband Radio Service (CBRS) band.

12 . The system of claim 9 , wherein one or more of the at least one signal interference event is parameterized based on at least one intended service requirement.

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

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

providing a wireless network resource optimization application in a network slice or a subnetwork of a private wireless network;

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

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

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

analyzing the measured data using a data analysis engine to create analyzed data;

wherein the analyzed data is created by obtaining statistical information and/or analyze possible interactions based on the center frequency and the bandwidth for each signal in the electromagnetic environment;

the wireless network resource optimization application using the analyzed data and/or and a constraint vector to create actionable data;

wherein the constraint vector sets an order of importance for usage of each network resource of the private wireless network; and

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

15 . The method of claim 14 , 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.

16 . The method of claim 15 , wherein the spectrum in the CBRS band is in a General Authorized Access (GAA) portion.

17 . The method of claim 15 , 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.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 12, 2025
From: MONTALVO, ARMANDO
To: DIGITAL GLOBAL SYSTEMS, INC.
Reel/Frame 071087/0409 →
Continuity (12)
Continuation 18947699 · Nov 14, 2024
Continuation 18411817 · Jan 12, 2024
Continuation 18405531 · Jan 5, 2024
Continuation 18526329 · Dec 1, 2023
Continuation 18237970 · Aug 25, 2023
Continuation In Part 18086115 · Dec 21, 2022
Continuation 18085733 · Dec 21, 2022
Continuation 18085791 · Dec 21, 2022
Continuation In Part 18085904 · Dec 21, 2022
Continuation In Part 17901035 · Sep 1, 2022
Provisional Application 63370184 · Aug 2, 2022
Related Publication 20250280299A1 · Sep 4, 2025
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T. O'Shea and J. Hoydis, “An Introduction to Deep Learning for the Physical Layer,” in IEEE Transactions on Cognitive Communications and Networking, vol. 3, No. 4, pp. 563-575, Dec. 2017, doi: 10.1109/TCCN.2017.2758370. [cited by applicant]