Abstract: A network device may receive, for an emergency call, a session initiation protocol (SIP) invite that includes a registered address of a user device that initiated the emergency call, and may determine whether the user device is associated with a private network based on the SIP invite. The network device may extract the registered address of the user device from the SIP invite and based on the user device being associated with the private network, and may provide the registered address to another network device. The other network device may determine a registered geographic location of the user device, based on the registered address, and may provide the registered geographic location to a public safety answering point associated with the emergency call.

Abstract: A network device may receive, for an emergency call, a session initiation protocol (SIP) invite that includes a registered address of a user device that initiated the emergency call, and may determine whether the user device is associated with a private network based on the SIP invite. The network device may extract the registered address of the user device from the SIP invite and based on the user device being associated with the private network, and may provide the registered address to another network device. The other network device may determine a registered geographic location of the user device, based on the registered address, and may provide the registered geographic location to a public safety answering point associated with the emergency call.

Abstract: A method may include identifying service requirements associated with a network service, identifying at least one analytics component to monitor the network service and identifying network functions to implement the network service. The method may also include deploying the network functions to monitor the network service, deploying the at least one analytics component and obtaining data associated with monitoring the network service. The method may further include forwarding, by the network functions, the data to the at least one analytics component and determining, by the least one analytics component, whether to take a control action with respect to the network service.

Abstract: Systems and methods described herein provide deployment optimization service. A network device in a network receives an order for virtual network function (VNF) deployments at network edge locations. The network device maps a radio access network (RAN) topology for the network edge locations. The network device identifies time windows to perform the VNF deployments, based on the order, historical transport and RAN utilization data, and the RAN topology. The network device selects an optimal time window to perform the VNF deployments based on stored policy rules and pushes software images for the VNF deployments to an image repository in a geographical region near the network edge locations. The network device analyzes, for the optimal time window, real-time network data for a pre-emptive condition. The network device pre-empts the VNF deployments when a pre-emptive condition is identified and initiates the VNF deployments when no pre-emptive condition is identified.

Abstract: A device may receive application information of an application to be deployed in a cloud computing environment. The application information may include requirement information including information defining a compute requirement of the application, a storage requirement of the application, and a network connectivity requirement of the application, and first capability information identifying requested capabilities of the first set of devices. The device may receive second capability information identifying actual capabilities of the second set of devices. The device may compare the first capability information and the second capability information to determine a measure of similarity between the first capability information and the second capability information. The device may generate deployment information for deploying the application on a device, of the second set of devices, based on the measure of similarity.

Abstract: A method, a device, and a non-transitory storage medium are described in which a network analytics model service is provided. The service may include ingesting customized models and non-customized models by a network analytics device. The ingestion procedure may include receiving the model and model specification data. The service may include provisioning the model and registering the model for discovery by other network devices. The service may include specifying customized identifiers to be used prospective subscribing network devices for the analytics information. The service may also facilitate the use of the analytics information by the subscribing network devices.

Abstract: Systems and methods described herein provide deployment optimization service. A network device in a network receives an order for virtual network function (VNF) deployments at network edge locations. The network device maps a radio access network (RAN) topology for the network edge locations. The network device identifies time windows to perform the VNF deployments, based on the order, historical transport and RAN utilization data, and the RAN topology. The network device selects an optimal time window to perform the VNF deployments based on stored policy rules and pushes software images for the VNF deployments to an image repository in a geographical region near the network edge locations. The network device analyzes, for the optimal time window, real-time network data for a pre-emptive condition. The network device pre-empts the VNF deployments when a pre-emptive condition is identified and initiates the VNF deployments when no pre-emptive condition is identified.

Abstract: In some implementations, a first device may receive, from a second device, network function (NF) configuration information indicating that an NF instance is to be provisioned to support a combination of network slices. The NF configuration information may include first network slice information regarding the first network slice and second network slice information regarding the second network slice. The first device may obtain, from a data structure, first slice configuration information associated with the NF instance supporting the first network slice and second slice configuration information associated with the NF instance supporting the second network slice. The first device may generate configuration parameters to provision the NF instance to support the combination of network slices and provide the configuration parameters to cause the NF instance to be provisioned to support the combination of network slices.

Abstract: Systems and methods implement closed loop analytics feedback for a transport network. A network device, such as a Network Data Analytics Function (NWDAF), receives, from a commissioning network function, an analytic information request for analytic event information and sends, to the commissioning network function, an analytic report that is responsive to the analytic information request wherein the analytic report includes a unique analytic report identifier. The network device receives, from the commissioning network function, a feedback event message that includes the analytic report identifier and a change description for a network parameter change influenced by the analytic report.

Abstract: A device may receive application information of an application to be deployed in a cloud computing environment. The application information may include requirement information including information defining a compute requirement of the application, a storage requirement of the application, and a network connectivity requirement of the application, and first capability information identifying requested capabilities of the first set of devices. The device may receive second capability information identifying actual capabilities of the second set of devices. The device may compare the first capability information and the second capability information to determine a measure of similarity between the first capability information and the second capability information. The device may generate deployment information for deploying the application on a device, of the second set of devices, based on the measure of similarity.

Abstract: A device may receive application information of an application to be deployed in a cloud computing environment. The application information may include requirement information including information defining a compute requirement of the application, a storage requirement of the application, and a network connectivity requirement of the application, and first capability information identifying requested capabilities of the first set of devices. The device may receive second capability information identifying actual capabilities of the second set of devices. The device may compare the first capability information and the second capability information to determine a measure of similarity between the first capability information and the second capability information. The device may generate deployment information for deploying the application on a device, of the second set of devices, based on the measure of similarity.

Abstract: A device may receive information identifying existing virtual network functions (VNFs) associated with an existing virtual radio access network (VRAN), and may receive information identifying proposed VNFs to deploy with the existing VRAN, wherein the information identifying the proposed VNFs includes VNF descriptors indicating interface dependencies associated with the proposed VNFs. The device may generate testing configurations, for testing the proposed VNFs, based on the interface dependencies, and may determine that a set of the proposed VNFs are validated based on testing the proposed VNFs with the testing configurations. The device may derive dependency constraints for the set of the proposed VNFs based on the information identifying the existing VNFs, and may select a new VNF that satisfies the dependency constraints, based on the set of the proposed VNFs. The device may cause the new VNF to be deployed with the existing VRAN.

Abstract: A method, a system, and a non-transitory storage medium are described in which an access and mobility management function (AMF) assignment service is provided. A network device receives an assignment policy for selecting an AMF from a group of available AMFs, wherein the assignment policy includes network slice priorities for available network slices in the RAN; stores the assignment policy; receives, during a registration procedure initiated by an end device, Network Slice Selection Assistance Information (NSSAI); identifies, from the NSSAI, multiple single-NSSAIs (S-NSSAIs); and selects, based on the assignment policy, an AMF for a highest priority S-NSSAI, of the multiple S-NSSAIs.

Abstract: A method, a device, and a non-transitory storage medium are described in which a polymorphic algorithm-based network slice orchestrator service is provided. The service may manage network slices based on radio access network performance metrics, core network performance metrics, network slice performance metrics, a machine learning framework, and polymorphic algorithms. The service may be applied to a multi-tier network. The service may include management of a data network access point of the network slice on a per-tier basis.

Abstract: Systems and methods described herein provide deployment optimization service. A network device in a network receives an order for virtual network function (VNF) deployments at network edge locations. The network device maps a radio access network (RAN) topology for the network edge locations. The network device identifies time windows to perform the VNF deployments, based on the order, historical transport and RAN utilization data, and the RAN topology. The network device selects an optimal time window to perform the VNF deployments based on stored policy rules and pushes software images for the VNF deployments to an image repository in a geographical region near the network edge locations. The network device analyzes, for the optimal time window, real-time network data for a pre-emptive condition. The network device pre-empts the VNF deployments when a pre-emptive condition is identified and initiates the VNF deployments when no pre-emptive condition is identified.

Abstract: Systems and methods described herein provide a Specialized-Operator enabled with admission control functionalities and Custom Resource Definition (CRD) plugins responsible for improving the reliability of the CNF Lifecycle Management operations for deploying containerized workloads on any heterogeneous cloud platform or in multi-cluster environments. According to one implementation, a computing device includes a sensor Network Function Virtualization (NFV)-extension and an actuator NFV-extension. The sensor NFV-extension obtains, from a Container Infrastructure Service Manager (CISM), an event signal that indicates a deficiency with a customer Containerized Network Function (CNF) deployment; detects a current state for the CNF deployment; determines an intent for the CNF deployment; identifies, based on the intent, a desired state for the CNF deployment; and selects, from a group of available actuator NFV-extensions, the actuator NFV-extension corresponding to the desired state.

Abstract: Provided are systems and methods for automating the deployment of software-defined and/or virtualized network functions (“xNFs”) within a network via a holistic validation of each xNF against validation criteria and/or performance of prior xNFs. The holistic validation may include receiving an xNF, determining a first amount of risk associated with that xNF based on one or more differences between the xNF and the validation criteria, determining a second amount of risk by comparing performance characteristics of the xNF to performance characteristics of earlier version of the same or similar xNFs, providing the xNF to the network for deployment in response to the total risk being within an acceptable amount of risk, and preventing xNF deployment while providing a notification with a set of recommendations to reduce the xNF risk in response to the total risk exceeding the acceptable amount of risk.

Abstract: A method may include identifying service requirements associated with a network service, identifying at least one analytics component to monitor the network service and identifying network functions to implement the network service. The method may also include deploying the network functions to monitor the network service, deploying the at least one analytics component and obtaining data associated with monitoring the network service. The method may further include forwarding, by the network functions, the data to the at least one analytics component and determining, by the least one analytics component, whether to take a control action with respect to the network service.

Abstract: A method may include identifying service requirements associated with a network service, identifying at least one analytics component to monitor the network service and identifying network functions to implement the network service. The method may also include deploying the network functions to monitor the network service, deploying the at least one analytics component and obtaining data associated with monitoring the network service. The method may further include forwarding, by the network functions, the data to the at least one analytics component and determining, by the least one analytics component, whether to take a control action with respect to the network service.

Abstract: A device may obtain network information associated with a network device to be installed at a particular location in a network. The device may select, based on the network information, a virtual distributed unit (vDU), of a plurality of vDUs, to be deployed on the network device. The device may generate, based on selecting the vDU, deployment information associated with the vDU, where the deployment information includes configuration information that is configured for the particular location. The device may send the deployment information to the network device to cause the vDU to be automatically deployed on the network device.