System, method, and apparatus for providing optimized network resources

1. A system for spectrum utilization management in a wireless network comprising:

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

a radio access network (RAN); a core network;

a wireless network resource optimization application in the MEC layer;

a Network Slice Selection Function (NSSF) operable to select suitable network slice instances for at least one application; and

a virtualized interface;

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

wherein the wireless network resource optimization application is operable to optimize network resources based on goals for the network slice, a customer goals index vector, and a quality of service (QoS) required by the at least one application;

wherein the customer goals index vector is a vector of binary values;

wherein the MEC layer supports cloud computing for the network slice;

wherein the virtualized interface includes management and orchestration (MANO);

wherein the MANO is operable to coordinate network services; and

wherein the wireless network resource optimization application is operable to create the customer goals index vector.

2. The system of claim 1 , wherein the network slice is administered by a mobile virtual network operator (MVNO).

3. The system of claim 1 , wherein the network slice is operable to be occupied by at least two tenants.

4. The system of claim 1 , wherein the MEC layer is operable to provide for optimization of physical layer resources for applications based on environmental conditions.

5. The system of claim 1 , wherein slicing architecture of the MEC layer is based on a plurality of factors including geographic scope, specificity of services, flexible architecture, and/or implementation of MEC applications as part of a slice access point.

6. The system of claim 1 , wherein the system is operable to perform network slicing to create the network slice.

7. The system of claim 1 , wherein the wireless network resource optimization application utilizes a constraint vector.

8. The system of claim 1 , wherein a MEC host is deployed at an edge of the RAN.

9. The system of claim 1 , wherein the MEC layer enables serverless computing by hosting Function as a Service (FaaS) at an edge of the RAN.

10. A system for spectrum utilization management in a wireless network comprising:

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

a radio access network (RAN);

a core network;

a wireless network resource optimization application in the MEC layer;

a Network Slice Selection Function (NSSF) operable to select suitable network slice instances for at least one application; and

a virtualized interface;

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

wherein the wireless network resource optimization application is operable to optimize network resources based on a customer goals index vector and a quality of service (QOS) required by the at least one application;

wherein the customer goals index vector is a vector of binary values;

wherein the virtualized interface includes management and orchestration (MANO);

wherein the MANO is operable to coordinate network services; and

wherein the wireless network resource optimization application is operable to create the customer goals index vector.

11. The system of claim 10 , wherein the MEC layer is operable to provide for optimization of physical layer resources for the at least one application based on environmental conditions.

12. The system of claim 10 , wherein the MEC layer supports cloud computing for the network slice.

13. The system of claim 10 , wherein slicing architecture of the MEC layer is based on a plurality of factors including geographic scope, specificity of services, flexible architecture, and/or implementation of MEC applications as part of a slice access point.

14. The system of claim 10 , wherein the MANO is operable to create network slices.

15. The system of claim 10 , wherein the wireless network resource optimization application utilizes a constraint vector.

16. A system for spectrum utilization management in a wireless network comprising:

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

a radio access network (RAN);

a core network;

a wireless network resource optimization application in the MEC layer; and

a Network Slice Selection Function (NSSF) operable to select suitable network slice instances for at least one application;

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

wherein the wireless network resource optimization application is operable to optimize network resources based on a customer goals index vector and quality of service (QOS) required by the at least one application;

wherein the customer goals index vector is a vector of binary values;

wherein the MEC layer supports cloud computing for the network slice;

wherein the wireless network resource optimization application is operable to create a customer goals index vector;

wherein a MEC host of the MEC layer is deployed at an edge of the RAN; and

wherein slicing architecture of the MEC layer is based on a plurality of factors including geographic scope, specificity of services, flexible architecture, and/or implementation of MEC applications as part of a slice access point.

17. The system of claim 16 , wherein the customer goals index vector includes a vector of binary values.

18. The system of claim 16 , further comprising a virtualized interface including a management and orchestration (MANO), wherein the MANO is operable to coordinate the network resources and network services.