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 management in an electromagnetic environment comprising:
at least one monitoring sensor operable to monitor the electromagnetic environment and to create measured data;
a Multi-Access Edge Computing (MEC) layer in a network slice or a subnetwork, wherein the MEC layer is in communication with a radio access network (RAN);
at least one data analysis engine operable to analyze the electromagnetic environment, including the measured data from the at least one monitoring sensor; and
a wireless network resource optimization application operable to use analyzed data from the at least one data analysis engine and a customer goals index vector to create actionable data;
wherein the customer goals index vector is a vector of binary values;
wherein the wireless network resource optimization application is operable to generate at least one RAN command to change at least one RAN parameter based on the actionable data;
wherein the at least one monitoring sensor is collocated with at least one radio unit (RU) at a base station or within a coverage area of a base station; and
wherein the actionable data relates to an interference event.
2. The system of claim 1 , wherein the MEC layer is operable to communicate with an Access and Mobility Management Function (AMF) operable to control the RAN control plane.
3. The system of claim 1 , wherein the actionable data relates to use of spectrum in a Citizens Broadband Radio Service (CBRS) band.
4. The system of claim 1 , wherein the actionable data relates to use of spectrum in a private wireless network.
5. The system of claim 1 , wherein the at least one data analysis engine includes a machine learning (ML) engine.
6. The system of claim 1 , wherein the system is operable to provide information about the interference event to a Spectrum Access System (SaS).
7. The system of claim 1 , wherein the actionable data relating to the interference event is operable to be provided for reallocation of spectrum.
8. The system of claim 7 , wherein the reallocation of spectrum is for a private network.
9. The system of claim 7 , wherein the reallocation of spectrum is based on Spectrum Access System (SaS) methodology.
10. The system of claim 1 , wherein the MEC layer communicates the at least one RAN command with the RAN.
11. A system for spectrum management in an electromagnetic environment comprising:
at least one monitoring sensor operable to monitor the electromagnetic environment and to create measured data;
a Multi-Access Edge Computing (MEC) layer in a network slice or a subnetwork, wherein the MEC layer is in communication with a radio access network (RAN);
at least one data analysis engine operable to analyze the electromagnetic environment, including the measured data from the at least one monitoring sensor; and
a wireless network resource optimization application operable to use analyzed data from the at least one data analysis engine and a customer goals index vector to create actionable data;
wherein the customer goals index vector is a vector of binary values;
wherein the wireless network resource optimization application is operable to generate at least one RAN command to change at least one RAN parameter based on the actionable data; and
wherein the actionable data relates to use of spectrum in a Citizens Broadband Radio Service (CBRS) band.
12. The system of claim 11 , wherein the actionable data relates to an interference event in the CBRS band.
13. The system of claim 12 , wherein the actionable data relates to reallocation of spectrum based on the interference event in the CBRS band.
14. The system of claim 13 , wherein the reallocation of spectrum is based on Spectrum Access System (SaS) methodology.
15. The system of claim 13 , wherein the reallocation of spectrum is for a private network.
16. The system of claim 11 , wherein the at least one data analysis engine includes a machine learning (ML) engine.
17. A method for spectrum management in an electromagnetic environment comprising:
at least one monitoring sensor monitoring the electromagnetic environment and creating measured data; at least one data analysis engine analyzing the electromagnetic environment, including the measured data from the at least one monitoring sensor;
a wireless network resource optimization application using analyzed data from the at least one data analysis engine and a customer goals index vector to create actionable data;
wherein the customer goals index vector is a vector of binary values;
the wireless network resource optimization application generating at least one radio access network (RAN) command to change at least one RAN parameter based on the actionable data; and
communicating the RAN command to a RAN; and wherein the actionable data relates to use of spectrum in a Citizens Broadband Radio Service (CBRS) band.
18. The method of claim 15 , wherein the actionable data relates to an interference event in the CBRS band.
19. The method of claim 16 , wherein the actionable data relates to reallocation of spectrum based on the interference event in the CBRS band.
20. The method of claim 17 , wherein the reallocation of spectrum is based on Spectrum Access System (SaS) methodology.