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 spectrum utilization management in a wireless network comprising:
a Multi-Access Edge Computing (MEC) layer in a network slice;
a wireless network resource optimization application in the MEC layer; and
a radio access network (RAN);
wherein the MEC layer is in communication with the RAN;
wherein the wireless network resource optimization application is operable to create a vector ensemble class for signals in a radiofrequency environment;
wherein the wireless network resource optimization application is operable to analyze the signals for possible interactions based on center frequency and/or bandwidth;
wherein the wireless network resource optimization application is operable to combine the possible interactions with the vector ensemble class and a customer goals index vector;
wherein the wireless network resource optimization application is operable to analyze the combined possible interactions, the vector ensemble class, and the customer goals index vector to create actionable data to optimize network resources of the wireless network; and
wherein the customer goals index vector is a vector of binary values.
2. The system of claim 1 , wherein the wireless network resource optimization application is operable to create the customer goals index vector.
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 system is operable to perform network slicing to create the network slice.
6. The system of claim 1 , wherein the wireless network resource optimization application utilizes a constraint vector.
7. The system of claim 1 , wherein a MEC host is deployed at an edge of the RAN.
8. The system of claim 1 , wherein the MEC layer supports cloud computing for the network slice.
9. The system of claim 1 , further comprising a virtualized interface including a management and orchestration (MANO), wherein the MANO is operable to coordinate the network resources and network services.
10. A system for spectrum utilization management in a wireless network comprising:
a Multi-Access Edge Computing (MEC) layer; and
a wireless network resource optimization application in the MEC layer;
wherein the wireless network resource optimization application is operable to create a vector ensemble class for signals in a radiofrequency environment;
wherein the wireless network resource optimization application is operable to analyze the signals for possible interactions based on center frequency and/or bandwidth;
wherein the wireless network resource optimization application is operable to combine the possible interactions with the vector ensemble class and a customer goals index vector;
wherein the wireless network resource optimization application is operable to analyze the combined possible interactions, the vector ensemble class, and the customer goals index vector to create actionable data to optimize network resources of the wireless network; and
wherein the customer goals index vector is a vector of binary values.
11. The system of claim 10 , wherein the wireless network resource optimization application is operable to create the customer goals index vector.
12. 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.
13. The system of claim 10 , wherein the wireless network resource optimization application utilizes a constraint vector.
14. The system of claim 10 , wherein a MEC host is deployed at an edge of a radio access network (RAN).
15. A method for spectrum utilization management in a wireless network comprising:
a wireless network resource optimization application creating a vector ensemble class for signals in a radiofrequency environment;
the wireless network resource optimization application analyzing the signals for possible interactions based on center frequency and/or bandwidth;
the wireless network resource optimization application combining the possible interactions with the vector ensemble class and a customer goals index vector; and
the wireless network resource optimization application analyzing the combined possible interactions, the vector ensemble class, and the customer goals index vector to create actionable data to optimize network resources of the wireless network;
wherein the customer goals index vector is a vector of binary values; and
wherein the wireless network resource optimization application is in a Multi-Access Edge Computing (MEC) layer.
16. The method of claim 15 , further comprising the wireless network resource optimization application creating the customer goals index vector.
17. The method of claim 15 , further comprising the MEC layer optimizing physical layer resources for applications based on environmental conditions.
18. The method of claim 15 , wherein the wireless network resource optimization application utilizes a constraint vector.
19. The method of claim 15 , wherein a MEC host is deployed at an edge of a radio access network (RAN).
20. The method of claim 15 , wherein the MEC layer is in a network slice.