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; and

a wireless network resource optimization application in the MEC layer;

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

wherein the wireless network resource optimization application is operable to use analyzed data from a radiofrequency (RF) environment to create actionable data for optimization of network resources of the wireless network;

wherein the wireless network resource optimization application is operable to create a customer goals index vector of binary values based on at least one rule and/or at least one policy;

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

wherein the MEC layer is operable to provide traffic steering to route network traffic to the network slice.

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 the MEC layer supports cloud computing for the network slice.

6. 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.

7. The system of claim 1 , further comprising a Network Slice Selection Function (NSSF) operable to select suitable network slice instances for user equipment and/or applications.

8. The system of claim 1 , wherein the system is operable to perform network slicing to create the network slice based on a network function virtualization (NFV) management and orchestration (MANO) architecture.

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

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; and

a wireless network resource optimization application in the MEC layer;

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

wherein the wireless network resource optimization application is operable to create a customer goals index vector of binary values based on at least one rule and/or at least one policy defined by at least one customer;

wherein the network resources of the wireless network are operable to be optimized based on the customer goals index vector and a quality of service (QoS) required by at least one customer application; and

wherein the MEC layer is operable to provide traffic steering to route network traffic to the network slice.

11. The system of claim 10 , wherein the MEC layer is operable to provide for optimization of physical layer resources for applications 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 , further comprising a Network Slice Selection Function (NSSF) operable to select suitable network slice instances for user equipment and/or applications.

15. The system of claim 10 , wherein the system is operable to perform network slicing to create the network slice based on a network function virtualization (NFV) management and orchestration (MANO) architecture.

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

17. A method for spectrum utilization management in a wireless network comprising:

a wireless network resource optimization application creating a customer goals index vector of binary values based on at least one rule and/or at least one policy defined by at least one customer;

the wireless network resource optimization application optimizing network resources of the wireless network based on the customer goals index vector, a constraint vector associated with at least one customer goal, and a quality of service (QOS) required by at least one customer application; and

a Multi-Access Edge Computing (MEC) layer providing traffic steering to route network traffic to a network slice;

wherein the MEC layer is in communication with a radio access network (RAN) and a core network;

wherein the wireless network resource optimization application is in the MEC layer.

18. The method of claim 17 , further comprising a Network Slice Selection Function (NSSF) selecting suitable network slice instances for user equipment and/or applications.

19. The method of claim 17 , further comprising performing network slicing to create the network slice based on a network function virtualization (NFV) management and orchestration (MANO) architecture.

20. The method of claim 17 , further comprising providing optimization of physical layer resources for applications based on environmental conditions.