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 Multi-Access Edge Computing (MEC) layer in a wireless network, wherein the MEC layer is in communication with a radio access network (RAN) and a core network;
wherein the MEC layer includes a wireless network resource optimization application and a Distributed Autonomous Slice Management (DASMO) architecture to configure local Slice Operation Support (SOS) entities for inter-domain operations or to provide network slice selection for user equipment (UE);
wherein the DASMO architecture is configured to provide suggestions for physical layer optimization based on key performance indicator (KPI) monitoring and reporting and configuration support;
wherein the RAN includes a RAN interface configured to provide resource allocation recommendations; and
wherein the wireless network resource optimization application is configured to use Radio Frequency (RF) environmental information from the RAN, the resource allocation recommendations from the RAN interface, and the suggestions for physical layer optimization from the DASMO architecture to create actionable data for optimizing network resources.
2 . The system of claim 1 , wherein the MEC layer is configured to identify a current location of the UE.
3 . The system of claim 1 , wherein the MEC layer is configured to provide procedures for migration and/or service continuity based on a predicted future location of the UE.
4 . The system of claim 1 , wherein the UE provides UE information associated with at least one Internet of Things (IOT) device.
5 . The system of claim 1 , wherein the UE provides UE information associated with at least one vehicle.
6 . The system of claim 1 , wherein the UE communicates using 3rd Generation Partnership Project (3GPP) protocols.
7 . The system of claim 1 , wherein the UE communicates via 5G New Radio (NR) technology.
8 . A method for spectrum utilization management in an electromagnetic environment comprising:
providing a Multi-Access Edge Computing (MEC) layer in a wireless network, wherein the MEC layer is in communication with a radio access network (RAN) and a core network, and includes a wireless network resource optimization application and a Distributed Autonomous Slice Management (DASMO) architecture;
providing, by the DASMO architecture, network slice selection for user equipment (UE) and suggestions for physical layer optimization based on key performance indicator (KPI) monitoring and reporting and configuration support;
providing, by a RAN interface included in the RAN, resource allocation recommendations; and
creating, by the wireless network resource optimization application, actionable data for optimizing network resources using Radio Frequency (RF) environmental information from the RAN, the resource allocation recommendations from the RAN interface, and the suggestions for physical layer optimization from the DASMO architecture.
9 . The method of claim 8 , further comprising the MEC layer identifying a current location of the UE.
10 . The method of claim 9 , further comprising the MEC layer providing procedures for migration and/or service continuity based on a predicted future location of the UE.
11 . The method of claim 9 , wherein the UE includes a vehicle.
12 . The method of claim 9 , wherein the UE communicates using 3rd Generation Partnership Project (3GPP) protocols.
13 . The method of claim 9 , wherein the UE communicates via 5G New Radio (NR) technology.
14 . The method of claim 8 , wherein the core network provides quality of service (QoS) recommendations.
15 . A method for spectrum utilization management in an electromagnetic environment comprising:
providing a Multi-Access Edge Computing (MEC) layer in a wireless network, wherein the MEC layer is in communication with a radio access network (RAN) and a core network, and includes a wireless network resource optimization application and a Distributed Autonomous Slice Management (DASMO) architecture;
providing a quality of an available channel to a network operator and receiving a request for use of the channel based on the quality of the channel;
configuring, via the DASMO architecture, local Slice Operation Support (SOS) entities for inter-domain operations or providing, via the DASMO architecture, network slice selection for user equipment (UE);
providing, via the DASMO architecture, suggestions for physical layer optimization based on key performance indicator (KPI) monitoring and reporting and configuration support; and
creating, by the wireless network resource optimization application, actionable data for optimizing network resources using Radio Frequency (RF) environmental information from the RAN and the suggestions for physical layer optimization from the DASMO architecture.
16 . The method of claim 15 , further comprising providing MEC host pre-allocation based on a predicted future location of the UE.
17 . The method of claim 16 , further comprising the MEC layer identifying a current location of the UE.
18 . The method of claim 16 , further comprising the MEC layer providing procedures for migration and/or service continuity based on a predicted future location of the UE.
19 . The method of claim 15 , further comprising creating a relocation group including at least one MEC host pre-configured to run at least one application.
20 . The method of claim 15 , wherein the core network provides aggregated traffic policies and/or quality of service (QoS) recommendations.