Abstract: An apparatus of a management service equipment includes processing circuitry. To configure the management service equipment for measuring a plurality of key performance indicators (KPIs) in a 5G network with a plurality of network functions (NFs), the processing circuitry is to retrieve using a data analytic function of the management service equipment, a plurality of performance measurements associated with a cell of a radio access network (RAN) within the 5G network. A KPI of the plurality of KPIs associated with the cell is generated using the data analytic function of the management service equipment, based on the plurality of performance measurements. The KPI is encoded for transmission to a service application executing on a user equipment (UE) active within the cell of the RAN or executing within a cloud architecture.

Abstract: Systems and methods of providing a management data analytics service are described. After receiving a request for a management data analytical KPI, the MDAS producer determines from which of network objects to collect the performance measurements to generate the management analytical data. The network objects include an NF, NSI, NSSI, subnetwork or the network. Performance data is collected for a past period and management analytical data generated based on the collected performance data. The KPI for a future period related to the past period is determined. The KPI is to predict uplink or downlink traffic volume or resource utilization associated with the network object.

Abstract: Systems and methods of providing performance measurements are described. The performance measurements reflect the performance of NF service management, PFD management, UE policy association, QoS flow release and handovers. Raw performance data is collected from one or more NFs and then measurement data results are provided to an NF measurement consumer. The measurement data results is used to diagnose ongoing issues impacting the performance of the mobile network and predict any potential issues.

Abstract: Embodiments of a Network Manager (NM), a (NFVO), and methods of communication are disclosed herein. The NM may transfer, to the NFVO, an update NS request message to update the NS instance based on the new NSD. The NM may encode the update NS request message to include: an nsInstanceID parameter that identifies the NS instance, and an updateType parameter that indicates a type of update for the NS instance. One value of “AssocPnfWithPnfProfile” for the updateType parameter may indicate a request to associate the PNF of the NS instance with a new or updated PNF profile indicated by the new NSD. Another value of “AssocVnfWithVnfProfile” for the updateType parameter may indicate a request to associate the VNF of the NS instance with a new or updated VNF profile indicated by the new NSD.

Abstract: A network management system can monitor and process raw measurements of network functions (NFs). The NFs are coupled to one another via service based interfaces in a 5G network core (5GC) of a 5G network system (5GS). A server producer generates performance measurements corresponding to the one or more NFs based on the raw measurements. The performance measurements are used to evaluate and optimize the performance related to network services enablement, mobility tracking and reachability with a user equipment (UE) or the gNB according to an Access Mobility Function (AMF) component, a Session Management Function (SMF) component, a Policy Control Function (PCF) component, a Network Exposure Function (NEF) component, or a Network Function Repository Function (NRF) component, as well as associated performance parameters or measurements disclosed.

Abstract: Techniques for identifying and remedying performance issues of Virtualized Network Functions (VNFs) are discussed. An example method includes outputting a request to a network Element Manager (EM) to create a Virtualized Network Function (VNF) Performance Measurement (PM) job to collect VNF PM data from a VNF and receiving a set of VNF PM data associated with the VNF from the EM. The set of VNF PM data is processed associated with the VNF. A request to the EM is output to create a Virtualization Resource (VR) PM job to collect, through a VNF Manager (VNFM) and a virtualized infrastructure manager (VIM), VR PM data from a VR used by the VNF. Then a set of VR PM data is received from the EM and processed.

Abstract: Systems and methods of using a MDAS in a network management loop are described. The MDA is used to aid in analysis and rectification of coverage issues and resource utilization. The MDA prepares, processes and analyzes data related to the managed networks and services using AI and ML techniques, and provides analytics reports for root cause analysis of ongoing issues, prevention of potential issues and prediction of network or service demands. The analytics report contains the description of the issues or predictions and recommended actions to mitigate the issues. The MDA classifies and correlates the input data (current and historical data), learn and recognize the data patterns, and analyzes the data to derive inference, insight and predictions. The MDA returns an analytics report describing issues or predictions for NFs, subnetwork, NSSI, and/or NSI.

Abstract: Systems and methods for orchestration and configuration of end-to-end network slices across a 3GPP core network and ORAN are described. The network includes a NSMF that receives an AllocateNSI operation with attributes to allocate an NSI. The AllocateNSI operation includes an attributeListIn parameter that specifies network slice properties in a ServiceProfile to be supported by the NSI. The NSMF determines that a new NSI is to be created rather than using an existing NSI and that the new NSI is to contain a NSSI (RAN) and a NSSI (CN). The NSMF communicates with a NSSMF (RAN) and NSSMF (CN) to create the new NSI. The new NSI includes an O-CU-CP, O-CU-UP and O-DU VNFs, and an O-RU PNF for the NSSI (RAN), and UPF, AMF, and SMF VNFs for the NSSI (CN).

Abstract: Systems and methods of managing creation and configuration for 5G networks, NFs and NSSIs are provided. An instantiation or configuration request received from a managed entity respectively instantiates or configures the appropriate element. For NF instantiation, when the NF has a virtualized part to be instantiated by a VNF, interaction with an NFV MANO system instantiates the VNF is followed by NF instantiation notification and MOI creation for the NF. For NF configuration, the NF is configured and notification provided thereof. For network instantiation, after reception of a network creation request, interaction with the system to instantiate a NS that realizes the network is followed by determination that a new VNF associated with the NS has been instantiated, creation of a NF (constituting the network) MOI is realized by the new VNF, and NF configuration. For NSSI creation, a NF constituting the NSSI is created and configured.

Abstract: Various embodiments herein provide techniques for management data analytics (MDA) for a wireless cellular network. The MDAS producer receives the raw data, classifies and analyses the raw data to generate the analytics output. The MDA process may be supported by machine learning techniques, and performed by a MDA service producer and assisted by a MDA service consumer. For example, the MDA service producer may receive training data from the MDA service consumer, and train a machine learning model based on the training data. The MDA service producer may apply the trained machine learning model to the raw data that are associated with network functions (e.g., self-organizing network (SON) functions) to generate output data that indicates a conflict between the network functions and a recommended action to address the conflict. Other embodiments may be described and claimed.

Abstract: Various embodiments herein provide techniques for service function chaining (SFC) in a wireless cellular network and/or an edge data network. In some embodiments, a service function path (SFP) is configured across both the wireless cellular network and the edge data network. In other embodiments, a SFP is configured in the edge data network. Other embodiments may be described and claimed.

Abstract: Methods, systems, and storage media are described for Load Balancing Optimization (LBO) and Mobility Robustness Optimization (MRO) for fifth generation (5G) systems. In particular, some embodiments may be directed intra-radio access technology (RAT) energy saving scenarios while other embodiments may be directed to and inter-RAT energy saving scenarios. Other embodiments may be described and/or claimed.

Abstract: Techniques discussed herein can facilitate edge computing in connection with a variety of deployment scenarios. Various embodiments can facilitate one or more of: deploying UPF(s) (User Plane Function(s)) to support edge computing; removing UPF(s) not needed for edge computing; deploying local DN(s) (Data Network(s)); E2E (Edge-to-Edge) OSS (Operations Support System) deployment scenarios; and providing RAN (Radio Access Network) condition data to support various applications (e.g., autonomous driving).

Abstract: A method and system for managing predefined PCC rules and 5QIs in a 5G network are described. The predefined PCC rules and 5QIs are assigned to a PCF and/or SMF and managed by a MOI of an IOC modelling the PCC rule and 5QIs. Attributes of the MOIs are specific to the PCC rule and 5QIs being managed.

Abstract: An apparatus and system of adjusting network slice subnet instance (NSSI) resources in an open-radio access network (O-RAN) are described. The non-real time RAN Intelligent Controller (Non-RT RIC) framework of a Service Management and Orchestration (SMO), receives measurements from E2 nodes of a NSSI. The measurements are forwarded to an rApp in the SMO, which uses the measurements to determine whether one or more actions are to be executed to update NSSI resources on the E2 nodes based on an NSSI optimization model. The Non-RT RIC framework sends a modify Managed Object Instance (MOI) operation to the E2 nodes to adjust the NSSI resources.

Abstract: An apparatus, a system, a computer-readable media, and a method. The method is to be performed at an apparatus of a gNB configured to host a management service (MnS) producer of provisioning function and a mobility robustness optimization (MRO) function in a distributed self-organizing network (D-SON). The method includes: decoding one or more requests from a MRO management function sent on a service-based layer of the D-SON, the one or more requests indicating attributes to be set by the gNB, the attributes including MRO targets, ranges of handover parameters, and a control parameter to enable or disable the MRO function; based on the one or more requests, setting the targets and the ranges of handover parameters for the MRO function, and enabling the MRO function; and in response to a determination that a MRO performance does not meet the targets, performing updates on the attributes to optimize the MRO performance.

Abstract: Techniques discussed herein can facilitate EC (Edge Computing) in connection with 5GC (Fifth Generation Core Network) system architecture. Various embodiments can facilitate one or more of: (1) providing the location of one or more UPFs (User Plane Functions) associated with at least one AS (Application Server) to a non-3GPP (Third Generation Partnership Project) EC management system; (2) providing the location of at least one AS associated with one or more UPFs to a 3GPP management system; and/or (3) establishing a relation between one or more UPFs and at least one AS.

Abstract: Systems and methods for orchestration and configuration of end-to-end network slices across a 3GPP core network and ORAN are described. The network includes a NSMF that receives an AllocateNSI operation with attributes to allocate an NSI. The AllocateNSI operation includes an attributeListIn parameter that specifies network slice properties in a ServiceProfile to be supported by the NSI. The NSMF determines that a new NSI is to be created rather than using an existing NSI and that the new NSI is to contain a NSSI (RAN) and a NSSI (CN). The NSMF communicates with a NSSMF (RAN) and NSSMF (CN) to create the new NSI. The new NSI includes an O-CU-CP, O-CU-UP and O-DU VNFs, and an O-RU PNF for the NSSI (RAN), and UPF, AMF, and SMF VNFs for the NSSI (CN).

Abstract: Technology is disclosed for a Third Generation Partnership Project (3GPP) management system operable for peer-to-peer (P2P) edge computing in a fifth generation (5G) computing network. The 3GPP management system can be configured to: identify a user plane function (UPF) based on quality of service (QoS) requirements. The 3GPP management system can be configured to request, from an edge computing management system, deployment of an application server (AS). The 3GPP management system can be configured to request a network functions virtualization (NFV) orchestrator (NFVO) to connect the UPF and the AS based on the QoS requirements.

Abstract: Methods, systems, and storage media are described for Load Balancing Optimization (LBO) and Mobility Robustness Optimization (MRO) for fifth generation (5G) systems. In particular, some embodiments may be directed intra-radio access technology (RAT) energy saving scenarios while other embodiments may be directed to and inter-RAT energy saving scenarios. Other embodiments may be described and/or claimed.