System, method, and apparatus for providing optimized network resources

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

a network slice or a subnetwork, wherein the network slice or the subnetwork includes an edge computing layer;

wherein the edge computing layer includes an inference engine;

wherein the inference engine learns the electromagnetic environment and identifies relevant information for optimizing network resources utilizing analyzed data from the electromagnetic environment received via a virtualized computing network;

wherein the edge computing layer includes an optimization function operable to utilize the analyzed data, the relevant information, and parameters including a power of at least one signal in the electromagnetic environment to improve an overall signal-to-noise-plus-interference ratio (SINR) of the at least one signal;

wherein the edge computing layer is operable to direct coordination of application-level configuration data between a central unit (CU) and a distributed unit (DU) of a radio access network (RAN) based on the analyzed data and the relevant information;

wherein the application-level configuration data comprises a list of served cells to add, modify, or delete at least one status of a cell; and

wherein the edge computing layer is operable to coordinate resource allocation between the CU and the DU for spectrum sharing.

2 . The system of claim 1 , wherein the edge computing layer is operable to determine a location of at least one user equipment (UE) device.

3 . The system of claim 2 , wherein the edge computing layer includes procedures for migration and/or service continuity using edge computing host pre-allocation based on a predicted future location of the at least one UE device.

4 . The system of claim 1 , wherein the relevant information is used along with network information to identify physical layer resources required for a customer application.

5 . The system of claim 1 , wherein the edge computing layer is operable to change at least one physical layer parameter of one or more customer devices and/or applications based on the analyzed data and/or the relevant information identified by the inference engine.

6 . The system of claim 1 , wherein the network resources are optimized by reconfiguring at least one parameter of a core network and/or the edge computing layer associated with the network slice or the subnetwork.

7 . The system of claim 1 , wherein the edge computing layer analyzes detected signal information from the analyzed data.

8 . The system of claim 7 , wherein the detected signal information includes a center frequency and bandwidth of the at least one signal.

9 . The system of claim 8 , wherein the edge computing layer is operable to obtain statistical information and analyze possible interactions based on the center frequency and the bandwidth of each of the at least one signal to create the analyzed data.

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

providing an edge computing layer in a network slice or a subnetwork;

wherein the edge computing layer includes an inference engine;

applying the inference engine within the edge computing layer to analyzed data from the electromagnetic environment received via a virtualized computing network and identifying relevant information for optimizing network resources;

receiving via a wireless network optimization application the relevant information and utilizing the relevant information to provide at least one traffic rule setting for the edge computing layer;

indicating, via the at least one traffic rule setting, to an application function (AF) to direct traffic to a second edge computing layer in a separate network slice or a separate subnetwork; and

directing, via the edge computing layer, coordination of application-level configuration data between a central unit (CU) and a distributed unit (DU) of a radio access network (RAN) based on the analyzed data and the relevant information.

11 . The method of claim 10 , further comprising determining channel availability in the electromagnetic environment.

12 . The method of claim 10 , further comprising providing a quality of a channel to a network operator and receiving a request for use of the channel from the network operator based on the quality of the channel.

13 . The method of claim 10 , further comprising the edge computing layer determining a location of at least one user equipment (UE) device.

14 . The method of claim 10 , further comprising providing optimization of service to at least one user equipment (UE) device based on a predicted future location of the at least one UE device.

15 . The method of claim 10 , further comprising identifying physical layer resources required for a customer application using the relevant information and network information.

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

providing an edge computing layer in a network slice or a subnetwork;

wherein the edge computing layer includes an inference engine;

applying the inference engine to analyzed data from the electromagnetic environment received via a virtualized computing network for identifying relevant information for learning the electromagnetic environment using statistical learning techniques;

utilizing an optimization function to improve an overall signal-to-noise-plus-interference ratio (SINR) of at least one signal in the electromagnetic environment based on the analyzed data, the relevant information, and parameters including a power and a bandwidth of the at least one signal;

directing, via the edge computing layer, coordination of application-level configuration data between a central unit (CU) and a distributed unit (DU) of a radio access network (RAN) based on the analyzed data and the relevant information; and

coordinating, via the edge computing layer, resource allocation between the CU and the DU for spectrum sharing;

wherein the application-level configuration data comprises a list of served cells to add, modify, or delete at least one status of a cell.

17 . The method of claim 16 , further comprising determining channel availability in the electromagnetic environment.

18 . The method of claim 16 , further comprising providing a quality of a channel to a network operator and receiving a request for use of the channel from the network operator based on the quality of the channel.

19 . The method of claim 16 , further comprising the edge computing layer providing procedures for migration and/or service continuity based on a predicted future location of at least one user equipment (UE) device.

20 . The method of claim 16 , further comprising creating a relocation group including at least one edge computing host pre-configured to run a customer application.