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 utilization management in an electromagnetic environment comprising:
at least one sensor configured to monitor the electromagnetic environment to create measured data;
a Multi-Access Edge Computing (MEC) layer, wherein the MEC layer is in communication with the at least one sensor and a radio access network (RAN); and
a wireless network resource optimization application in the MEC layer, wherein the wireless network resource optimization application includes at least one data analysis engine for analyzing the measured data to create actionable data, wherein the wireless network resource optimization application includes a programmable rules and policy editor with at least one rule and/or at least one policy;
wherein the wireless network resource optimization application is configured to optimize network resources by changing physical layer parameters of one or more customer devices and/or applications based on the actionable data and the at least one rule and/or at least one policy;
wherein the MEC layer includes a Distributed Autonomous Slice Management (DASMO) architecture including a Slice Operation Support (SOS) function configured to provide network slice selection for user equipment (UE) or the one or more customer devices and/or applications; and
wherein the wireless network resource optimization application is configured to further optimize the network resources by reconfiguring the MEC layer associated with a network slice managed by the DASMO architecture.
2. The system of claim 1 , wherein the MEC layer is configured to further optimize the network resources based on the actionable data.
3. The system of claim 1 , wherein wireless network resource optimization application is configured to generate at least one RAN command to change at least one RAN parameter.
4. The system of claim 1 , wherein the wireless network resource optimization application utilizes a constraint vector.
5. The system of claim 1 , wherein the DASMO architecture is configured to support at least one multi-domain sliced network.
6. The system of claim 1 , further comprising a network exposure function (NEF) configured to control functions to manage MEC operations, wherein the NEF is configured to provide policy and charging for handling quality of service (QOS) for the UE.
7. The system of claim 1 , wherein the SOS function is configured to implement support virtual network functions (S-VNFs).
8. The system of claim 1 , further including a Slice Manager (SM) configured to support tenant-oriented operations and interfaces.
9. The system of claim 8 , wherein the SM is configured to provide key performance indicator (KPI) monitoring and reporting and/or configuration support.
10. The system of claim 1 , wherein the SOS function is configured to provide for slice subscription, slice authentication, and/or stitching of sub-slices.
11. The system of claim 1 , wherein the MEC layer is configured to service multiple network slices.
12. A system for dynamic spectrum utilization management in an electromagnetic environment comprising:
at least one sensor configured to monitor the electromagnetic environment and to create measured data;
a Multi-Access Edge Computing (MEC) layer in a network slice, wherein the MEC layer is in communication with the at least one sensor and a radio access network (RAN); and
a wireless network resource optimization application in the MEC layer, wherein the wireless network resource optimization application includes at least one data analysis engine for analyzing the measured data to create actionable data, wherein the wireless network resource optimization application includes a programmable rules and policy editor with at least one rule and/or at least one policy;
wherein the wireless network resource optimization application is configured to optimize network resources by changing physical layer parameters of one or more customer devices and/or applications based on the actionable data and the at least one rule and/or at least one policy;
wherein the MEC layer includes a Distributed Autonomous Slice Management (DASMO) architecture including a Slice Manager (SM) configured to provide key performance indicator (KPI) monitoring and reporting and/or configuration support; and
wherein the wireless network resource optimization application is configured to further optimize the network resources by reconfiguring the MEC layer associated with a network slice managed by the DASMO architecture.
13. The system of claim 12 , wherein the wireless network resource optimization application utilizes a constraint vector.
14. The system of claim 12 , further comprising a Network Slice Selection Function (NSSF) configured to select suitable network slice instances for user equipment (UE).
15. The system of claim 12 , wherein the wireless network resource optimization application is configured to generate at least one RAN command to change at least one RAN parameter.
16. The system of claim 12 , wherein the DASMO architecture is configured to support at least one multi-domain sliced network.
17. A method for dynamic spectrum utilization management in an electromagnetic environment comprising:
providing a Multi-Access Edge Computing (MEC) layer in a network slice and a wireless network resource optimization application in the MEC layer, wherein the MEC layer is in communication with a radio access network (RAN);
monitoring the electromagnetic environment using at least one sensor to create measured data;
analyzing the measured data using at least one data analysis engine to create analyzed data;
the wireless network resource optimization application creating actionable data using the analyzed data;
the wireless network resource optimization application including a programmable rules and policy editor with at least one rule and/or policy;
the wireless network resource optimization application optimizing network resources by changing physical layer parameters of one or more customer devices and/or applications based on the actionable data and the at least one rule and/or at least one policy;
performing network slicing by a Distributed Autonomous Slice Management (DASMO) architecture in the MEC layer to support tenant-oriented operations; and
the wireless network resource optimization application optimizing the network resources by reconfiguring the MEC layer associated with a network slice managed by the DASMO architecture.
18. The method of claim 17 , further comprising the wireless network resource optimization application utilizing a constraint vector.
19. The method of claim 17 , further comprising the wireless network resource optimization application generating at least one RAN command to change at least one RAN parameter.
20. The method of claim 17 , further comprising a Slice Manager (SM) providing configuration support for the tenant-oriented operations.