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 user equipment (UE) device configured to analyze electromagnetic environment data from the electromagnetic environment to create analyzed data; and
a Multi-Access Edge Computing (MEC) layer in a network slice, wherein the MEC layer includes a wireless network resource optimization application and is in communication with a radio access network (RAN);
wherein the MEC layer includes a Distributed Autonomous Slice Management (DASMO) architecture including a Slice Manager (SM) configured to support tenant-oriented operations and interfaces;
wherein the SM is configured to provide key performance indicator (KPI) monitoring and reporting and/or configuration support based on the analyzed data;
wherein the DASMO architecture is configured to provide suggestions for physical layer optimization based on the KPI monitoring and reporting and/or configuration support;
wherein the at least one UE device is connected to the RAN;
wherein the wireless network resource optimization application is configured to generate at least one RAN command to change at least one RAN parameter;
wherein the MEC layer is configured to optimize network resources based on the suggestions from the DASMO architecture; 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 at least one UE device includes a smartphone, a mobile device, a tablet, a computer, a router, and/or an internet of things (IoT) device.
3 . The system of claim 1 , wherein the at least one UE device is connected to a network via 3rd Generation Partnership Project (3GPP) protocols.
4 . The system of claim 1 , wherein the Distributed Autonomous Slice Management (DASMO) architecture further includes a Slice Operation Support (SOS) function configured to provide slice selection for the at least one UE device.
5 . The system of claim 1 , wherein the network resources are further optimized by changing at least one parameter of one or more customer devices and/or applications.
6 . The system of claim 1 , wherein the network resources are further optimized by changing at least one parameter of the at least one UE device.
7 . The system of claim 1 , wherein the MEC layer is configured to determine a location of the at least one UE device.
8 . The system of claim 7 , wherein the location of the at least one UE device is configured to be transmitted to the RAN.
9 . A system for dynamic spectrum utilization management in an electromagnetic environment comprising:
at least one user equipment (UE) device configured to analyze electromagnetic environment data from the electromagnetic environment to create analyzed data; and
a Multi-Access Edge Computing (MEC) layer in communication with a radio access network (RAN);
wherein the MEC layer includes a Distributed Autonomous Slice Management (DASMO) architecture configured to provide key performance indicator (KPI) monitoring and reporting and/or configuration support based on the analyzed data;
wherein the DASMO architecture is configured to provide suggestions for physical layer optimization based on the KPI monitoring and reporting;
wherein the at least one UE device is connected to the RAN;
wherein the MEC layer is configured to optimize network resources based on the suggestions from the DASMO architecture; and
wherein the MEC layer is configured to further optimize the network resources by reconfiguring the MEC layer associated with a network slice managed by the DASMO architecture.
10 . The system of claim 9 , wherein the at least one UE device includes a smartphone, a mobile device, a tablet, a computer, a router, and/or an internet of things (IoT) device.
11 . The system of claim 9 , wherein the DASMO architecture includes a Slice Manager (SM) configured to support tenant-oriented operations and interfaces.
12 . The system of claim 9 , wherein the DASMO architecture is configured to support multi-domain sliced networks.
13 . The system of claim 9 , wherein the MEC layer is configured to determine a location of the at least one UE device.
14 . A method for dynamic spectrum utilization management in an electromagnetic environment comprising:
at least one user equipment (UE) device configured to analyze electromagnetic environment data from the electromagnetic environment to create analyzed data;
a Distributed Autonomous Slice Management (DASMO) architecture in a Multi-Access Edge Computing (MEC) layer including a Slice Manager (SM) for reporting on key performance indicators (KPIs) based on the analyzed data from the electromagnetic environment or the measurements of the electromagnetic environment;
the SM providing suggestions for physical layer optimization based on the reporting on the KPIs;
a wireless network resource optimization application in the MEC layer generating at least one RAN command to change at least one RAN parameter;
the MEC layer optimizing network resources based on the suggestions from the SM; and
the wireless network resource optimization application further optimizing the network resources by reconfiguring the MEC layer associated with a network slice managed by the DASMO architecture.
15 . The method of claim 14 , wherein the at least one UE device includes a smartphone, a mobile device, a tablet, a computer, a router, and/or an internet of things (IoT) device.
16 . The method of claim 14 , wherein the SM provides support for tenant-oriented operations and interfaces based on the analyzed data.
17 . The method of claim 16 , wherein the SM includes connections to Embedded Element Managers (EEMs) of virtual network functions (VNFs) implemented within a slice.
18 . The method of claim 16 , wherein the DASMO architecture is configured to support multi-domain sliced networks.
19 . The method of claim 14 , further comprising a Slice Operation Support (SOS) function providing slice selection for the at least one UE device.