System, method, and apparatus for providing optimized network resources

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

a network slice of the wireless network, wherein the network slice includes a radio access network (RAN) and a core network;

a wireless network resource optimization application, wherein the wireless network resource optimization application includes at least one data analysis engine for analyzing measured data from a radiofrequency (RF) environment and a programmable rules and policy editor;

wherein the programmable rules and policy editor includes at least one rule and/or at least one policy defined by requirements of at least one customer;

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 optimization of network resources of the wireless network;

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

wherein the network resources of the wireless network are operable to be optimized based on the network slice and the customer goals index vector.

2. The system of claim 1 , wherein the network resources of the wireless network are operable to be optimized based on a quality of service (QoS) required by at least one application.

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

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

5. The system of claim 1 , further comprising a Multi-Access Edge Computing (MEC) layer associated with the network slice.

6. The system of claim 5 , wherein the MEC layer is operable to provide for optimization of physical layer resources for applications based on environmental conditions.

7. The system of claim 5 , wherein the MEC layer supports cloud computing for the network slice.

8. The system of claim 5 , wherein the MEC layer provides traffic steering to route traffic to targeted applications in the network slice.

9. The system of claim 5 , 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.

10. The system of claim 1 , further comprising at least one sensor unit operable to communicate resource assignment recommendations to the RAN based on the measured data from the RF environment.

11. The system of claim 1 , further comprising an Access and Mobility Management Function (AMF) operable to aggregate resources for applications and services requiring special physical layer parameters.

12. 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.

13. 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.

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

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

a network slice of the wireless network, wherein the network slice includes a radio access network (RAN) and a core network;

a Multi-Access Edge Computing (MEC) layer associated with the network slice;

a wireless network resource optimization application, wherein the wireless network resource optimization application includes at least one data analysis engine for analyzing measured data from a radiofrequency (RF) environment and a programmable rules and policy editor;

wherein the programmable rules and policy editor includes at least one rule and/or at least one policy defined by requirements of at least one customer;

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 optimization of network resources of the wireless network;

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

wherein the wireless network is a fifth generation (5G) network.

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

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

providing a network slice of the wireless network, wherein the network slice includes a radio access network (RAN) and a core network;

providing a Multi-Access Edge Computing (MEC) layer associated with the network slice;

providing a wireless network resource optimization application including at least one data analysis engine and a programmable rules and policy editor;

the at least one data analysis engine analyzing measured data from a radiofrequency (RF) environment;

wherein the programmable rules and policy editor includes at least one rule and/or at least one policy defined by requirements of at least one customer;

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

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

optimizing the network resources of the wireless network based on the goals index vector and a quality of service (QoS) required by at least one application.

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

19. The method of claim 17 , further comprising selecting suitable network slice instances for user equipment and/or applications.

20. 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.