System, method, and apparatus for providing optimized network resources
Systems, methods, and apparatuses for providing optimization of network resources. The system is operable to monitor the electromagnetic environment, analyze the electromagnetic environment, and extract environmental awareness of the electromagnetic environment. The system extracts the environmental awareness of the electromagnetic environment by including customer goals. The system is operable to use the environmental awareness with the customer goals and/or user defined policies and rules to extract actionable information to help the customer optimize the network resources.
1. A system for optimization of spectrum utilization in an electromagnetic environment, comprising:
at least one data analysis engine configured to analyze measured data to create analyzed data including radiofrequency (RF) awareness parameters; and
at least one server;
wherein the at least one data analysis engine includes a graphical mapping engine operable to filter the RF awareness parameters based on customer goals to create actionable parameters;
wherein the graphical mapping engine is configured to create a cost function based on the actionable parameters and the customer goals;
wherein the graphical mapping engine is configured to subdivide the cost function into subdivisions;
wherein the graphical mapping engine is configured to compare a centroid of at least one of the subdivisions against a constraint function based on bounds of the actionable parameters and is operable to evaluate the centroid based on the cost function 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 2 , wherein the at least one subdivision resolution parameter is calculated based on relative importance and/or resolution of each of the actionable parameters.
5. The system of claim 1 , wherein the graphical mapping engine is configured to evaluate only the centroid which lies near an edge of the constraint function.
6. The system of claim 1 , wherein the graphical mapping engine is configured to skip calculation of the centroid based on the constraint function.
7. A system for optimization of spectrum utilization in an electromagnetic environment, comprising:
at least one data analysis engine configured to analyze measured data to create analyzed data including radiofrequency (RF) awareness parameters;
wherein the at least one data analysis engine includes a graphical mapping engine operable to filter the RF awareness parameters based on customer goals to create actionable parameters;
wherein the graphical mapping engine is configured to create a cost function based on the actionable parameters and the customer goals;
wherein the graphical mapping engine is configured to create a constraint function based on bounds of the actionable parameters;
wherein the graphical mapping engine contains a sensitivity analysis engine configured to determine parameter goals based on the customer goals;
wherein the sensitivity analysis engine is configured to determine a relative importance for each of the actionable parameters based on an effect of each of the actionable parameters on the parameter goals;
wherein the graphical mapping engine is configured to optimize the actionable parameters based on the relative importance for each of the actionable parameters and by minimizing the cost function while constrained by the constraint function; 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 system of claim 7 , wherein the optimization of the actionable parameters is performed using Lagrange multipliers.
9. The system of claim 7 , wherein the sensitivity analysis engine is configured to further filter the RF awareness parameters based on the parameter goals.
10. The system of claim 7 , wherein the sensitivity analysis engine assigns a cost coefficient to each of the actionable parameters based on a relative importance of each of the actionable parameters.
11. The system of claim 7 , wherein the sensitivity analysis engine sets a resolution of each of the actionable parameters based on a relative importance of each of the actionable parameters.
12. The system of claim 11 , wherein the at least one data analysis engine is configured to optimize analysis of the measured data based on the resolutions of each of the actionable parameters.
13. The system of claim 7 , wherein the sensitivity analysis engine is configured to determine an update rate of each of the actionable parameters based on a relative importance of each of the actionable parameters.
14. The system of claim 13 , wherein the at least one data analysis engine is configured to measure each of the RF awareness parameters based on the update rate of each of the actionable parameters.
15. The system of claim 13 , wherein the update rate of each of the actionable parameters is further determined based on variability of each of the actionable parameters.
16. A method for optimization of spectrum utilization in an electromagnetic environment comprising:
at least one data analysis engine analyzing measured data to create analyzed data including RF awareness parameters;
a graphical mapping engine filtering the RF awareness parameters based on customer goals to create actionable parameters;
the graphical mapping engine creating a cost function based on the actionable parameters and the customer goals;
wherein the graphical mapping engine contains a sensitivity analysis engine determining parameter goals based on the customer goals;
wherein the sensitivity analysis engine determines a relative importance for each of the actionable parameters based on an effect of each of the actionable parameters on the parameter goals;
the graphical mapping engine optimizing the actionable parameters based on the relative importance for each of the actionable parameters and by minimizing the cost function while constrained by a constraint function, wherein the constraint function is based on bounds of the actionable parameters; and
the at least one data analysis engine sending 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 contained in the graphical mapping engine, parameter goals based on the customer goals and equations based on the parameter goals.
18. The method of claim 17 , further comprising generating, using the sensitivity analysis engine, a relative importance for each of the actionable parameters based on an effect of the actionable parameters on the parameter goals.
19. The method of claim 18 , further comprising setting, using the sensitivity analysis engine, a resolution for each of the actionable parameters based on the relative importance for each of the actionable parameters.
20. The method of claim 16 , wherein the actionable parameters are optimized for any number of dimensions.