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 sensor configured 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 a radio access network (RAN) and a machine learning (ML) engine configured to provide predictions about the electromagnetic environment based on historical data or external data sources; and
a wireless network resource optimization application in the MEC layer;
wherein the at least one data analysis engine is configured to analyze the measured data to create analyzed data;
wherein the analyzed data is represented in a vector ensemble class for each signal in the electromagnetic environment;
wherein the wireless network resource optimization application is configured to use the analyzed data and the predictions about the electromagnetic environment from the ML engine to create actionable data for optimizing RAN resources; and
wherein the actionable data from the wireless network resource optimization application provides for coexistence of multiple services based on service needs and/or coexistence policies.
2 . The system of claim 1 , further comprising a slice manager configured to provide a control loop for the network slice.
3 . The system of claim 1 , wherein the MEC layer comprises a V2X application.
4 . The system of claim 1 , wherein the wireless network resource optimization application is configured to identify physical layer resources required for at least one application based on the actionable data for optimizing network resources.
5 . The system of claim 1 , wherein the at least one sensor is configured to provide an optimization of resource assignment and to send the optimization of resource assignment to the MEC layer.
6 . The system of claim 5 , wherein the at least one sensor includes an interface with a radio unit (RU), distributed unit (DU), or centralized unit (CU) of the RAN.
7 . The system of claim 1 , further comprising a MEC service registry configured to provide registration, service discovery, availability notifications, authentication, and authorization for services on the MEC layer.
8 . The system of claim 1 , further comprising user equipment (UE), wherein the UE includes an application instance of at least one application from a first MEC host, wherein the application instance of the at least one application is configured 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.
9 . The system of claim 8 , wherein the application instance of the at least one application is configured to be transferred to a cloud service provider.
10 . The system of claim 8 , wherein a service state of the at least one application is configured to be transferred from a first MEC host to a second MEC host.
11 . A system for dynamic spectrum management in an electromagnetic environment comprising:
a Multi-Access Edge Computing (MEC) layer including a wireless network resource optimization application;
a network exposure function (NEF) configured to manage MEC layer operations;
at least one data analysis engine configured to analyze measured data from the electromagnetic environment to create analyzed data; and
a machine learning (ML) engine in communication with the MEC layer configured to provide predictions about the electromagnetic environment based on historical data or external data sources;
wherein the analyzed data is represented in a vector ensemble class for each signal in the electromagnetic environment;
wherein the wireless network resource optimization application is configured to use the analyzed data and the predictions about the electromagnetic environment from the ML engine to create actionable data for optimizing network resources; and
wherein the actionable data from the wireless network resource optimization application provides for coexistence of multiple services based on service needs and/or coexistence policies.
12 . The system of claim 11 , wherein the MEC layer provides traffic steering and policy control information for applications.
13 . The system of claim 11 , wherein the NEF is in a network slice.
14 . The system of claim 11 , wherein the NEF is configured to predict or determine at least one location of user equipment (UE).
15 . The system of claim 11 , wherein the NEF is configured to provide capability information for a network or services configured to be provided by a network.
16 . A system for dynamic spectrum management in an electromagnetic environment comprising:
at least one data analysis engine configured to receive and analyze measured data from a sensor in the electromagnetic environment to create analyzed data;
a Multi-Access Edge Computing (MEC) layer in communication with the at least one data analysis engine and including a wireless network resource optimization application; and
a machine learning (ML) engine in communication with the MEC layer configured to provide predictions about the electromagnetic environment based on historical data or external data sources;
wherein the analyzed data is represented in a vector ensemble class for each signal in the electromagnetic environment;
wherein the MEC layer is configured to use the analyzed data and the predictions about the electromagnetic environment from the ML engine to create actionable data for optimizing network resources; and
wherein the actionable data from the wireless network resource optimization application provides for coexistence of multiple services based on service needs and/or coexistence policies.
17 . The system of claim 16 , wherein the MEC layer provides traffic steering and policy control information for applications.
18 . The system of claim 16 , wherein the MEC layer includes at least one server configured to support multi-tenancy for multiple applications.
19 . The system of claim 16 , wherein the MEC layer is in a network slice.