System, method, and apparatus for providing optimized network resources
AssigneeDigital Global Systems, Inc.
InventorArmando Montalvo
Life of this patent
Estimating the term…
Abstract
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.
Claims18
A system for spectrum utilization management in a wireless network comprising:
- a Multi-Access Edge Computing (MEC) layer in a network slice;
- a radio access network (RAN);
- a core network;
- a wireless network resource optimization application in the MEC layer;
- a Network Slice Selection Function (NSSF) operable to select suitable network slice instances for at least one application;
- and
- a virtualized interface;
- wherein the MEC layer is in communication with the RAN and the core network;
- wherein the wireless network resource optimization application is operable to optimize network resources based on goals for the network slice, a customer goals index vector, and a quality of service (QoS) required by the at least one application;
- wherein the customer goals index vector is a vector of binary values;
- wherein the MEC layer supports cloud computing for the network slice;
- wherein the virtualized interface includes management and orchestration (MANO);
- wherein the MANO is operable to coordinate network services;
- and
- wherein the wireless network resource optimization application is operable to create the customer goals index vector.
A system for spectrum utilization management in a wireless network comprising:
- a Multi-Access Edge Computing (MEC) layer in a network slice;
- a radio access network (RAN);
- a core network;
- a wireless network resource optimization application in the MEC layer;
- a Network Slice Selection Function (NSSF) operable to select suitable network slice instances for at least one application;
- and
- a virtualized interface;
- wherein the MEC layer is in communication with the RAN and the core network;
- wherein the wireless network resource optimization application is operable to optimize network resources based on a customer goals index vector and a quality of service (QOS) required by the at least one application;
- wherein the customer goals index vector is a vector of binary values;
- wherein the virtualized interface includes management and orchestration (MANO);
- wherein the MANO is operable to coordinate network services;
- and
- wherein the wireless network resource optimization application is operable to create the customer goals index vector.
A system for spectrum utilization management in a wireless network comprising:
- a Multi-Access Edge Computing (MEC) layer in a network slice;
- a radio access network (RAN);
- a core network;
- a wireless network resource optimization application in the MEC layer;
- and
- a Network Slice Selection Function (NSSF) operable to select suitable network slice instances for at least one application;
- wherein the MEC layer is in communication with the RAN and the core network;
- wherein the wireless network resource optimization application is operable to optimize network resources based on a customer goals index vector and quality of service (QOS) required by the at least one application;
- wherein the customer goals index vector is a vector of binary values;
- wherein the MEC layer supports cloud computing for the network slice;
- wherein the wireless network resource optimization application is operable to create a customer goals index vector;
- wherein a MEC host of the MEC layer is deployed at an edge of the RAN;
- and
- wherein slicing architecture of the MEC layer is based on a plurality of factors including geographic scope, specificity of services, flexible architecture, and/or implementation of MEC applications as part of a slice access point.
Dependencies are inferred from the claim text.