SYSTEM, METHOD, AND APPARATUS FOR PROVIDING OPTIMIZED NETWORK RESOURCES

1 . A system for optimization of spectrum utilization in an electromagnetic environment, comprising:

at least one data analysis engine in a Multi-Access Edge Computing (MEC) layer configured to analyze measured data to create radiofrequency (RF) awareness parameters; and

at least one server;

wherein the at least one data analysis engine includes a graphical mapping engine configured to create actionable parameters based on the RF awareness parameters;

wherein the graphical mapping engine is configured to create a cost function based on the actionable parameters and/or customer goals;

wherein the graphical mapping engine is configured to subdivide the cost function into subdivisions based on a relative importance and/or resolution of at least one of the actionable parameters;

wherein the graphical mapping engine is configured to evaluate at least one of the subdivisions to create optimized actionable parameters; and

wherein the graphical mapping engine is configured to send the optimized actionable parameters to the at least one server for optimization of network resources of the electromagnetic environment.

2 . The system of claim 1 , wherein the cost function is subdivided based on at least one subdivision resolution parameter.

3 . The system of claim 2 , wherein the at least one subdivision resolution parameter is calculated based on the customer goals.

4 . The system of claim 1 , wherein the relative importance of the at least one of the actionable parameters is determined based on an effect of the at least one of the actionable parameters on the customer goals.

5 . The system of claim 1 , wherein evaluation of the at least one of the subdivisions comprises evaluation of a centroid of the at least one of the subdivisions.

6 . The system of claim 5 , wherein the graphical mapping engine is configured to skip calculation of the centroid based on a constraint function.

7 . An apparatus for optimization of spectrum utilization in an electromagnetic environment, comprising:

at least one data analysis engine in a Multi-Access Edge Computing (MEC) layer configured to analyze measured data to create radiofrequency (RF) awareness parameters;

wherein the at least one data analysis engine includes a graphical mapping engine configured to create actionable parameters based on the RF awareness parameters;

wherein the graphical mapping engine contains a sensitivity analysis engine configured to determine a relative importance of at least one of the actionable parameters;

wherein the sensitivity analysis engine is configured to set a resolution of the at least one of the actionable parameters based on the relative importance of the at least one of the actionable parameters;

wherein the graphical mapping engine is configured to create a cost function based on the actionable parameters and/or customer goals;

wherein the graphical mapping engine is configured to optimize the actionable parameters based on the resolution of the at least one of the actionable parameters; and

wherein the graphical mapping engine is configured to send the optimized actionable parameters to at least one server for optimization of network resources of the electromagnetic environment.

8 . The apparatus of claim 7 , wherein the optimization of the actionable parameters is performed using Lagrange multipliers.

9 . The apparatus of claim 7 , wherein the sensitivity analysis engine is configured to determine parameter goals based on the customer goals.

10 . The apparatus of claim 7 , wherein the sensitivity analysis engine assigns a cost coefficient to the at least one of the actionable parameters based on the relative importance of the at least one of the actionable parameters.

11 . The apparatus of claim 7 , wherein the graphical mapping engine is configured to subdivide the cost function into subdivisions based on the relative importance and/or a resolution of the at least one of the actionable parameters.

12 . The apparatus of claim 7 , wherein the at least one data analysis engine is configured to optimize analysis of the measured data based on the resolution of the at least one of the actionable parameters.

13 . The apparatus of claim 7 , wherein the sensitivity analysis engine is configured to determine an update rate of the at least one of the actionable parameters based on the relative importance of the at least one of the actionable parameters.

14 . The apparatus of claim 13 , wherein the at least one data analysis engine is configured to measure the at least one of the RF awareness parameters based on the update rate of the at least one of the actionable parameters.

15 . The apparatus of claim 13 , wherein the update rate of the at least one of the actionable parameters is further determined based on variability of the at least one of the actionable parameters.

16 . A method for optimization of spectrum utilization in an electromagnetic environment comprising:

analyzing, using at least one data analysis engine in a Multi-Access Edge Computing (MEC) layer, measured data to create analyzed data including RF awareness parameters;

creating, using a graphical mapping engine in the at least one data analysis engine, actionable parameters based on the RF awareness parameters;

determining, using a sensitivity analysis engine contained in the graphical mapping engine, a relative importance of at least one of the actionable parameters;

generating, using a sensitivity analysis engine, a resolution of the at least one of the actionable parameters based on a relative importance for the at least one of the actionable parameters;

creating, using the graphical mapping engine, a cost function based on the actionable parameters;

optimizing, using the graphical mapping engine, the actionable parameters based on the resolution of the at least one of the actionable parameters; and

sending, using the at least one data analysis engine, the optimized actionable parameters to at least one server for optimization of network resources of the electromagnetic environment.

17 . The method of claim 16 , further comprising generating, using the sensitivity analysis engine, parameter goals based on customer goals.

18 . The method of claim 17 , further comprising generating, using the sensitivity analysis engine, the relative importance for the at least one of the actionable parameters based on an effect of the actionable parameters on the parameter goals.

19 . The method of claim 16 , further comprising determining, using the sensitivity analysis engine, an update rate of the at least one of the actionable parameters based on the relative importance of the at least one of the actionable parameters.

20 . The method of claim 16 , wherein the actionable parameters are optimized for any number of dimensions.