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 dynamic spectrum management in an electromagnetic environment comprising:
at least one monitoring sensor operable to monitor the electromagnetic environment and to send measured data from the electromagnetic environment to at least one data analysis engine;
a Multi-Access Edge Computing (MEC) layer in a network slice, wherein the MEC layer is in communication with an open radio access network (ORAN) and a core network; and
a wireless network resource optimization application in the MEC layer;
at least one application hosted on a MEC application server; and
a machine learning (ML) engine programmed according to at least one goal for the at least one application operable to provide a prediction about the electromagnetic environment;
wherein the MEC layer supports cloud computing in the network slice;
wherein the MEC layer, the ORAN, and the core network are part of a virtualized infrastructure;
wherein the at least one data analysis engine operable to analyze the measured data;
wherein the at least one data analysis engine is in communication with the wireless network resource optimization application;
wherein the ML engine is in communication with the wireless network resource optimization application;
wherein the wireless network resource optimization application is operable to use analyzed data from the at least one data analysis engine and the prediction about the electromagnetic environment from the ML engine to create actionable data for optimizing ORAN resources; and
wherein the actionable data is based on at least one customer goal in a customer goals index vector of the wireless network resource optimization application, and wherein the customer goals index vector is a vector of binary values.
2. The system of claim 1 , further comprising a slice manager operable to provide a real-time, autonomous control loop for the network slice.
3. The system of claim 1 , wherein at least one MEC layer includes at least one MEC host.
4. The system of claim 1 , wherein the MEC server supports multi-tenancy for applications.
5. The system of claim 1 , wherein the actionable data from the wireless network resource optimization application provides for coexistence of multiple services based on service needs and coexistence policies.
6. The system of claim 1 , wherein the at least one monitoring sensor is operable to provide an optimization of resource assignment, wherein the at least one monitoring sensor is operable to send the optimization of resource assignment to the MEC layer, and wherein the at least one monitoring sensor does not include an interface with a radio unit (RU), distributed unit (DU), or centralized unit (CU) of the ORAN.
7. The system of claim 1 , wherein multiple instances of the at least one application are configured to run concurrently in the MEC layer.
8. The system of claim 1 , further comprising a MEC service registry operable to provide registration, service discovery, availability notifications, authentication, and authorization for services on the MEC layer.
9. The system of claim 1 , further comprising user equipment (UE), wherein the UE includes an application instance of the at least one application from a first MEC host, wherein the application instance of the at least one application is operable to be transferred to a second MEC host upon a change of location of the UE without disruption of service of the at least one application to the UE.
10. The system of claim 9 , wherein a service state of the at least one application is operable to be transferred from the first MEC host to the second MEC host.
11. The system of claim 9 , wherein the application instance of the at least one application is operable to be transferred to a cloud service provider.
12. A system for dynamic spectrum management in an electromagnetic environment comprising:
at least one monitoring sensor operable to monitor the electromagnetic environment and to send measured data from the electromagnetic environment to at least one data analysis engine;
a Multi-Access Edge Computing (MEC) layer in a network slice, wherein the MEC layer is in communication with an open radio access network (ORAN) and a core network; and
a wireless network resource optimization application in the MEC layer;
at least one application hosted on a MEC application server; and
a network exposure function (NEF) in a control plane of the network slice;
wherein the MEC layer, the ORAN, and the core network are part of a virtualized infrastructure;
wherein the at least one data analysis engine operable to analyze the measured data;
wherein the at least one data analysis engine is in communication with the wireless network resource optimization application;
wherein the wireless network resource optimization application is operable to use analyzed data from the at least one data analysis engine to create actionable data for optimizing ORAN resources;
wherein the actionable data is based on at least one customer goal in a customer goals index vector of the wireless network resource optimization application, and wherein the customer goals index vector is a vector of binary values; and
wherein the NEF is operable to accessed via a third-party cloud service to manage MEC operations via a control interface.
13. The system of claim 12 , wherein the MEC layer provides traffic steering and policy control information for applications based on information exchanged between the NEF and the MEC layer.
14. The system of claim 12 , wherein the NEF is operable to provide network information to the MEC layer, wherein the network information includes mobility information and radio resource information.
15. The system of claim 12 , wherein the NEF is operable to predict at least one location of user equipment (UE).
16. The system of claim 12 , wherein a MEC host of the MEC layer is deployed at an edge of the RAN.
17. The system of claim 12 , wherein the NEF is operable to provide capability information for the core network or services operable to be provided by the core network.
18. A system for dynamic spectrum management in an electromagnetic environment comprising:
at least one monitoring sensor operable to monitor the electromagnetic environment and to send measured data from the electromagnetic environment to at least one data analysis engine;
a Multi-Access Edge Computing (MEC) layer in a network slice, wherein the MEC layer is in communication with an open radio access network (ORAN) and a core network; and
a wireless network resource optimization application in the MEC layer;
at least one application hosted on a MEC application server; and
a MEC virtualization infrastructure included in the MEC layer;
wherein the MEC virtualization infrastructure is opera ble to run the at least one application;
wherein the MEC application server supports multi-tenancy for multiple applications;
wherein a MEC host of the MEC layer is operable to interface with another MEC host of the MEC layer;
wherein the MEC layer is operable to send traffic to a cloud service provider via a cloud wrapper MEC application;
wherein the at least one data analysis engine operable to analyze the measured data;
wherein the at least one data analysis engine is in communication with the wireless network resource optimization application;
wherein the wireless network resource optimization application is operable to use analyzed data from the at least one data analysis engine to create actionable data for optimizing ORAN resources; and
wherein the actionable data is based on at least one customer goal in a customer goals index vector of the wireless network resource optimization application, and wherein the customer goals index vector is a vector of binary values.
19. The system of claim 18 , further comprising a machine learning (ML) engine in communication with the wireless network resource optimization application operable to provide predictions about the electromagnetic environment.
20. The system of claim 18 , wherein the network slice further includes a network exposure function (NEF) operable to accessed via a third-party cloud service to manage MEC operations via a control interface.