IP Library Granted Patent US 12,490,104
Granted Patent B2
US 12,490,104 · App. 19/202,638 · Granted Dec 2, 2025

System, method, and apparatus for providing optimized network resources

Inventor: Armando Montalvo (Winter Garden, FL)
Assignee: Digital Global Systems, Inc.
H04W16/10H04W16/14H04W24/02H04W24/04H04W24/08H04W28/0925H04W28/0967H04W72/0453
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Quick Facts
Patent No.
US 12,490,104
App. No.
19/202,638
Granted
Dec 2, 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 (39)

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

a Multi-Access Edge Computing (MEC) layer in a network slice, wherein the MEC layer is in communication with 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 configured to obtain statistical information and analyze possible interactions based on a center frequency and a bandwidth of the at least one signal in the electromagnetic environment to create analyzed data;

wherein the wireless network resource optimization application is configured to optimize network resources by modifying at least one physical layer parameter of customer devices and/or applications based on the analyzed data and a customer goals index vector of binary values;

wherein each binary value of the customer goals index vector represents whether or not a specific piece of the measured data is relevant to satisfying customer goals;

wherein the analyzed data includes a vector ensemble class for at least one signal; and

wherein the wireless network resource optimization application includes a detection engine for automatically detecting at least one signal in the electromagnetic environment based on the analyzed data.

2 . The system of claim 1 , further comprising a RAN interface configured to provide resource allocation recommendations.

3 . The system of claim 1 , wherein one or more of the at least one sensor is included in at least one spectrum monitoring unit, wherein the at least one spectrum monitoring unit includes at least one processor and a memory, at least one receiver, and the one or more of the at least one sensor.

4 . The system of claim 1 , wherein the at least one sensor includes at least one antenna, at least one antenna array, at least one radio server, and/or at least one software defined radio.

5 . The system of claim 1 , wherein the wireless network resource optimization application is configured to activate an alarm.

6 . The system of claim 1 , wherein the core network is configured to provide aggregated traffic policies and/or quality of service (QoS) recommendations.

7 . The system of claim 1 , wherein the wireless network resource optimization application creates actionable data based on the analyzed data in real time or in near-real time and/or the at least one sensor monitors the electromagnetic environment in real time or near-real time and creates the measured data in real time or near-real time.

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

providing a Multi-Access Edge Computing (MEC) layer in a network slice, wherein the MEC layer is in communication with a radio access network (RAN) and a core network;

monitoring at least one signal of the electromagnetic environment using at least one sensor to create measured data;

providing a wireless network resource optimization application in the MEC layer configured obtain statistical information and analyze possible interactions based on a center frequency and a bandwidth of the at least one signal in the electromagnetic environment to to create analyzed data;

optimizing network resources by modifying at least one physical layer parameter of customer devices and/or applications based on the analyzed data and a customer goals index vector of binary values;

wherein each binary value of the customer goals index vector represents whether or not a specific piece of the measured data is relevant to satisfying customer goals;

wherein the analyzed data includes a vector ensemble class for at least one signal of interest; and

the wireless network resource optimization application including a detection engine for automatically detecting at least one signal in the electromagnetic environment based on the analyzed data.

9 . The method of claim 8 , further comprising a MEC orchestrator using the analyzed data provided by the network optimization application to allow a MEC application to generate RAN commands to change RAN parameters.

10 . The method of claim 8 , wherein one or more of the at least one sensor is included in a base station.

11 . The method of claim 8 , wherein one or more of the at least one sensor is included in at least one spectrum monitoring unit, wherein the at least one spectrum monitoring unit includes at least one processor and memory, at least one receiver, and the one or more of the at least one sensor.

12 . The method of claim 8 , wherein the at least one sensor includes at least one antenna, at least one antenna array, at least one radio server, and/or at least one software defined radio.

13 . The method of claim 8 , further comprising activating an alarm based on the analyzed data.

14 . The method of claim 8 , wherein actionable data for optimizing network resources is created in real time or in near-real time and/or the at least one sensor monitors the electromagnetic environment in real time or near-real time and creates the measured data in real time or near-real time.

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

a Multi-Access Edge Computing (MEC) layer in a network slice, wherein the MEC layer is in communication with 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 obtaining statistical information and analyze possible interactions based on a center frequency and the bandwidth of a at least one signal in the electromagnetic environment to create analyzed data;

wherein the wireless network resource optimization application is configured to optimize network resources based on the analyzed data and a customer goals index vector of binary values;

wherein each binary value of the customer goals index vector represents whether or not a specific piece of the measured data is relevant to satisfying customer goals;

wherein the analyzed data includes creating a vector ensemble class for at least one signal; and

wherein the at least one data analysis engine includes a detection engine for automatically detecting at least one signal in the electromagnetic environment based on the analyzed data.

16 . The system of claim 15 , wherein the wireless network resource optimization application is configured to activate an alarm based on the analyzed data.

17 . The system of claim 15 , wherein the wireless network resource optimization application is configured to optimize network resources by modifying at least one physical layer parameter of customer devices and applications.

18 . The system of claim 15 , further comprising a MEC orchestrator using the analyzed data provided by the network optimization application to allow a MEC application to generate RAN commands to change RAN parameters.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 12, 2025
From: MONTALVO, ARMANDO
To: DIGITAL GLOBAL SYSTEMS, INC.
Reel/Frame 071087/0409 →
Continuity (9)
Continuation 18949339 · Nov 15, 2024
Continuation 18526358 · Dec 1, 2023
Continuation 18199111 · May 18, 2023
Continuation 18085733 · Dec 21, 2022
Continuation 18085904 · Dec 21, 2022
Continuation 18085791 · Dec 21, 2022
Continuation In Part 17901035 · Sep 1, 2022
Provisional Application 63370184 · Aug 2, 2022
Related Publication 20250267465A1 · Aug 21, 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]