Granted Patent B2

US 12,621,675 · App. 19/299,921 · Granted May 5, 2026

Inventor: Armando Montalvo (Winter Garden, FL)

Assignee: Digital Global Systems, Inc.

H04W16/10H04W24/02H04W24/08H04W24/10H04W28/24H04W16/14H04W24/04H04W28/0268

Abstract

Claims (46)

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

a Multi-Access Edge Computing (MEC) layer in a network slice or a subnetwork;

a wireless network resource optimization application in the MEC layer configured to receive measured data from the electromagnetic environment; and

wherein the measured data includes detected signal information for at least one signal in the electromagnetic environment;

wherein the detected signal information includes a center frequency and bandwidth of at least one signal in the electromagnetic environment;

wherein the wireless network resource optimization application is configured to obtain statistical information of the detected signal information and analyze possible interactions based on the center frequency and the bandwidth of the at least one signal in the electromagnetic environment; and

at least one RF awareness platform in the MEC layer configured to analyze the measured data from the electromagnetic environment using detection, classification, identification, and/or machine learning (ML) to create RF awareness data;

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

wherein the wireless network resource optimization application is configured to create a set by adding the possible interactions to the vector ensemble class; and

wherein the wireless network resource optimization application is configured to create actionable data for optimizing network resources by combining the set with 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 detected signal information is relevant to satisfying customer goals.

2 . The system of claim 1 , further comprising at least one monitoring sensor configured to create the measured data, and wherein the at least one monitoring sensor is included in a base station and/or at least one spectrum monitoring unit.

3 . The system of claim 1 , wherein the actionable data includes data for changing at least one physical layer parameter of one or more customer devices and/or applications.

4 . The system of claim 1 , wherein the MEC layer includes a MEC orchestrator configured to interact as an application function with a network exposure function (NEF).

5 . The system of claim 4 , wherein the NEF is configured to access a policy control function (PCF) configured to manage rules and policies.

6 . The system of claim 4 , wherein the NEF provides network information to the MEC layer.

7 . The system of claim 1 , wherein the wireless network resource optimization application generates at least one radio access network (RAN) command to change at least one RAN parameter.

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

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

a Multi-Access Edge Computing (MEC) layer; and

a wireless network resource optimization application in the MEC layer configured to receive the measured data; and

wherein the measured data includes detected signal information for at least one signal in the electromagnetic environment;

wherein the detected signal information includes a center frequency and bandwidth of at least one signal in the electromagnetic environment;

wherein the wireless network resource optimization application is configured to obtain statistical information of the detected signal information and analyze possible interactions based on the center frequency and the bandwidth of the at least one signal in the electromagnetic environment; and

at least one RF awareness platform in the MEC layer configured to analyze the measured data from the electromagnetic environment using detection, classification, identification, and/or machine learning (ML) to create RF awareness data;

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

wherein the wireless network resource optimization application is configured to create a set by adding the possible interactions to the vector ensemble class; and

wherein the wireless network resource optimization application is configured to create actionable data for optimizing network resources by combining the set with 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 detected signal information is relevant to satisfying customer goals.

9 . The system of claim 8 , wherein the MEC layer includes a MEC orchestrator configured to interact as an application function with a network exposure function (NEF).

10 . The system of claim 9 , wherein the NEF provides network information to the MEC layer.

11 . The system of claim 8 , wherein the wireless network resource optimization application is configured to activate an alarm.

12 . The system of claim 8 , further comprising at least one data analysis engine for analyzing the measured data to create analyzed data, wherein the at least one data analysis engine further includes a detection engine, a learning engine, an identification engine, a classification engine, and/or a geolocation engine.

13 . The system of claim 8 , wherein the wireless network resource optimization application creates the actionable data in real time or in near-real time.

14 . The system of claim 8 , further comprising a machine learning (ML) engine configured to learn the electromagnetic environment and make predictions about the electromagnetic environment.

15 . The system of claim 8 , wherein the at least one monitoring sensor is included in a base station and/or at least one spectrum monitoring unit.

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

obtaining, by a wireless network resource optimization application in a Multi-Access Edge Computing (MEC) layer, measured data for each signal in the electromagnetic environment;

obtaining, by the wireless network resource optimization application, statistical information of the measured data and analyzing each signal in the electromagnetic environment for possible interactions based on center frequency or bandwidth; and

analyzing, by a RF awareness platform in the MEC layer, the measured data using detection, classification, identification, and/or machine learning (ML) to create RF awareness data;

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

creating, by the wireless network resource optimization application, a set by adding the possible interactions to the vector ensemble class; and

creating, by the wireless network resource optimization application, actionable data for optimization of network resources of a wireless network by combining the set with a customer goals index vector of binary values;

wherein the MEC layer is in a network slice or subnetwork in the electromagnetic environment; and

wherein each binary value of the customer goals index vector represents whether or not a specific piece of the detected signal information is relevant to satisfying customer goals.

17 . The method of claim 16 , further comprising optimizing the network resources by changing at least one physical layer parameter of one or more customer devices and/or applications or by reconfiguring at least one parameter of the wireless network.

Assignments (1)

Continuity (8)

References Cited (272)