System, method, and apparatus for providing optimized network resources

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

at least one radio access network (RAN) interface;

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

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

wherein the MEC layer is in communication with the RAN and a core network;

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

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

wherein the at least one data analysis engine includes a learning engine, and wherein the learning engine is operable to learn the electromagnetic environment;

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

wherein the wireless network resource optimization application is operable to optimize network resources of the wireless network based on a customer goals index vector, wherein the customer goals index vector is a vector of binary values;

wherein the wireless network resource optimization application utilizes a constraint vector;

wherein the MEC layer includes a MEC orchestrator operable to interact as an application function with a network exposure function (NEF);

wherein the MEC layer includes a plurality of applications operable to provide a plurality of services including content streaming, gaming, Internet of Things (IoT) services, and vehicle to everything (V2X) communication;

wherein the at least one RAN interface is operable to provide resource allocation recommendations; and

wherein the data analysis engine further includes a detection engine, an identification engine, a classification engine, and/or a geolocation engine.

2. The system of claim 1 , wherein the network resources are optimized by reconfiguring at least one parameter of a 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 at least one monitoring sensor is included in a base station and/or at least one spectrum monitoring unit.

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

6. 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.

7. The system of claim 1 , wherein the wireless network resource optimization application creates the actionable data in real time or in near-real time.

8. The system of claim 1 , wherein the wireless network resource optimization application is operable to create the actionable data for one or more customers simultaneously.

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

at least one radio access network (RAN) interface;

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

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

wherein the MEC layer is in communication with the RAN and a core network;

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

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

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

wherein the wireless network resource optimization application is operable to optimize network resources of the wireless network based on a customer goals index vector, wherein the customer goals index vector is a vector of binary values;

wherein the MEC layer includes a MEC orchestrator operable to interact as an application function with a network exposure function (NEF);

wherein the MEC layer includes a plurality of applications operable to provide a plurality of services including content streaming, gaming, Internet of Things (IoT) services, and vehicle to everything (V2X) communication; and

wherein the at least one RAN interface is operable to provide resource allocation recommendations.

10. The system of claim 9 , wherein the wireless network resource optimization application is operable to activate an alarm.

11. The system of claim 9 , wherein the at least one data analysis engine further includes a detection engine, an identification engine, a classification engine, and/or a geolocation engine.

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

providing at least one radio access network (RAN) interface;

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

providing 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 measured data, wherein the wireless network resource optimization application utilizes a constraint vector;

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

analyzing the measured data using the at least one data analysis engine to create analyzed data, wherein the at least one data analysis engine includes a learning engine;

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

learning the electromagnetic environment using the learning engine;

the wireless network resource optimization application using analyzed data from the at least one data analysis engine to create actionable data;

optimizing network resources using the actionable data based on a customer goals index vector, wherein the customer goals index vector is a vector of binary values;

the at least one RAN interface providing resource allocation recommendations; and

a plurality of applications in the MEC layer providing a plurality of services including content streaming, gaming, Internet of Things (IoT) services, and vehicle to everything (V2X) communication.

13. The method of claim 12 , further including 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 a network.