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 an electromagnetic environment comprising:
a radiofrequency (RF) analysis engine operable to analyze measured RF data from at least one sensor unit to create analyzed data and physical layer data; and
a machine learning engine (ML) operable to use the analyzed data to make predictions about the electromagnetic environment and/or identify physical layer resources required for at least one application;
wherein the at least one sensor unit and the RF analysis engine are provided on a chip, a chipset, multiple chips, multiple chipsets, or on a circuit board;
wherein a user equipment (UE) device is operable to perform physical layer functions;
wherein the system is operable to optimize the physical layer by slice or customer;
wherein the physical layer data is used to create actionable data for spectrum sharing in the electromagnetic environment; and
wherein the RF analysis engine includes a Fast Fourier Transform (FFT) engine operable to provide for a duty cycle using four streams and one second per stream to reduce calculations and provide for increased real-time sampling.
2. The system of claim 1 , wherein the system provides for acceleration of functions of the physical layer for look aside hardware configurations.
3. The system of claim 1 , wherein the system provides for acceleration of functions of the physical layer for in-line hardware configurations.
4. The system of claim 1 , wherein the system is operable to provide for channel extraction.
5. The system of claim 1 , wherein the system is operable to provide data link layer aggregation of multiple layer 1 data from several radio units per distributed unit.
6. The system of claim 1 , wherein the actionable data for spectrum sharing in the electromagnetic environment includes actionable data for beam forming.
7. The system of claim 1 , wherein the system is operable to aggregate a plurality of radio access network resources associated with the slice or a customer subnetwork.
8. The system of claim 7 , wherein the system is operable to optimize the plurality of radio access network resources based on the electromagnetic environment and a quality of service required by the at least one application.
9. The system of claim 1 , wherein the RF analysis engine includes an In-Phase/Quadrature (I/Q) buffer.
10. The system of claim 1 , wherein the at least one sensor unit further includes a programmable rules and policy editor, wherein the programmable rules and policy editor is operable to communicate the physical layer data to a Multi-Access Edge Computing (MEC) layer.
11. The system of claim 1 , wherein the physical layer data is used to create actionable data for spectrum sharing in the electromagnetic environment in real time.
12. The system of claim 1 , wherein the at least one sensor unit is operable to perform data link aggregation of multiple physical layer data from multiple radio units.
13. The system of claim 1 , wherein the UE device is operable to change at least one physical layer parameter based on the physical layer data.
14. The system of claim 1 , wherein the actionable data for spectrum sharing in the electromagnetic environment includes actionable data for real-time, dynamic spectrum sharing in the electromagnetic environment.
15. The system of claim 1 , wherein the chip, the chipset, the multiple chips, the multiple chipsets, or the circuit board is operable to perform In-Phase & Quadrature conditioning, channelization, a priori detection, utilization mask, anomaly detection and flagging, and/or moments-blind classification.
16. A system for spectrum utilization management in an electromagnetic environment comprising:
a radiofrequency (RF) analysis engine operable to analyze or process measured RF data to create analyzed data and physical layer data; and
a machine learning engine (ML) operable to use the analyzed data to make predictions about the electromagnetic environment and/or identify physical layer resources required for at least one application;
wherein the physical layer data is used to create actionable data for real-time, dynamic spectrum sharing in the electromagnetic environment;
wherein a user equipment (UE) device is operable to change at least one physical layer parameter based on the physical layer data or the actionable data for real-time, dynamic spectrum sharing in the electromagnetic environment; and
wherein the RF analysis engine includes a Fast Fourier Transform (FFT) engine operable to provide for a duty cycle using four streams and one second per stream to reduce calculations and provide for increased real-time sampling.
17. The system of claim 16 , wherein the actionable data for real-time, dynamic spectrum sharing in the electromagnetic environment includes actionable data for beam forming.
18. The system of claim 16 , wherein the at least one sensor unit further includes a programmable rules and policy editor, wherein the programmable rules and policy editor is operable to communicate the physical layer data to a Multi-Access Edge Computing (MEC) layer.
19. A system for spectrum utilization management in an electromagnetic environment comprising:
a radiofrequency (RF) analysis engine operable to analyze measured RF data from at least one sensor unit to create analyzed data and physical layer data; and
a machine learning engine (ML) operable to use the analyzed data to make predictions about the electromagnetic environment and/or identify physical layer resources required for at least one application;
wherein a user equipment (UE) device is operable to perform physical layer functions;
wherein the physical layer data is used to create actionable data for spectrum sharing in the electromagnetic environment; and
wherein the RF analysis engine includes a Fast Fourier Transform (FFT) engine operable to provide for a duty cycle using four streams and one second per stream to reduce calculations and provide for increased real-time sampling.
20. The system of claim 19 , wherein the system is operable to optimize the physical layer by slice or customer.