Abstract: Systems, methods, and apparatuses provide for collecting end-to-end (e2e) one way latency measurements and solutions for performance data streaming. The e2e performance measurements and performance data streaming (real-time performance measurements) may be used for performance assurance of 5G networks including network slicing.

Abstract: An apparatus and system for generating KPIs based on packet delay performance measurements through a NG-RAN or 5GC are described. Integrated average UL and DL delays in NG-RAN, gNB DU delays and e2e delays are determined for each sub-network, network slice subnet, and network slice, and for a gNB DU. An overall NR cell DU delay including air interface delay and delay within the NR cell DU, and an overall gNB-CU delay including F1 interface delay and delay within the gNB-CU-UP, are each independently weighted for each gNB and in each direction for the integrated delay KPI in the NG-RAN. The e2e delay KPIs are average UL or DL delays between a UPF and UE(s) for a network slice based on e2e delays for each N-3 and N9 interface weighted by number of packets or data volume of the interface for the corresponding direction.

Abstract: Various embodiments herein are directed to solutions for converged charging for edge enabling infrastructure resource usage, application context transfer, and aggregated fifth-generation system (5GS) usage. Other embodiments may be disclosed or claimed.

Abstract: Techniques for performance measurements related to application triggering and short message service (SMS) over non-access stratum (NAS) including obtaining raw performance measurements from one or more network functions in a wireless communication network, the one or more network functions including at least one of a network exposure function (NEF) or an access and mobility management function (AMF), and generating performance measurements for the one or more network functions based on the raw performance measurements.

Abstract: Briefly, in accordance with one or more embodiments, virtualized network function resources may be managed in a network. Performance measurements may be received for at least one mobility management entity (MME) in an MME pool, or for other network elements. If at least one of the performance measurements exceeds at least one predetermined threshold, instantiation of a new mobility management entity virtual network function (MME VNF) may be requested, and the MME VNF may be instantiated in response to the request. One or more user equipment (UE) devices managed by the MME pool may be connected to the added MME VNF.

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: Methods, systems, and storage media are described for configuring RACH parameters in a cell in order to achieve the optimal RACH performance. In particular, some embodiments relate to determining RACH parameters based on RACH optimization targets. Other embodiments may be described and/or claimed.

Abstract: The present disclosure provides mechanisms to support collection of measurements data to support radio access network (RAN) intelligence. The present disclosure contains concepts, use cases, requirements, and solutions for collecting the measurement data to support artificial intelligence (AI) and/or machine learning (ML) enabled RAN, wherein the AI/ML functions reside in the RAN, a network function(s), management function(s), and/or in an Operation, Administration, and Maintenance function(s).

Abstract: The present disclosure is generally related to artificial intelligence (AI) and/or machine learning (ML) workflows including ML entity lifecycle management and reporting mechanisms for reporting the validation performance of an ML entity. An ML training (MLT) function trains an ML model using a training dataset and may validate the ML model using a validation dataset. An MLT report is generated, which includes an attribute indicating the performance of the ML model when performing on training data. To support the ML model validation performance reporting, an attribute is defined in the MLT report to indicate the performance of the ML model when performing on the validation data. The attribute may be a new attribute or an extension/enhancement of an existing attribute in the MLT training report.

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: Various embodiments herein define a performance data and measurement job creation solutions for advanced networks including network slicing, based on a service-based framework. The embodiments allow different kinds of consumers to flexibly use performance management services and performance data services, to collect real-time performance data and/or periodical performance data.

Abstract: Systems and methods of supporting RACH optimization and monitoring of UP packet delay performance are described. During RACH optimization, a NF provisioning MnS with modify MOIAttributes operation to configure targets for RACH optimization and a NF provisioning MnS with modifyMOIAttributes operation are separately consumed to enable a RACH optimization function for a NR cell. After this, a performance assurance MnS with notifyFileReady or reportStreamData operation is consumed to collect RACH optimization-related measurements for the NR cell and RACH performance data of the RACH optimization-related measurements analyzed to evaluate RACH optimization performance for the NR cell. During monitoring of UP packet delay performance, raw performance measurements related to UP packet delay based on at least one of NG-RAN measurement results or time stamps in GTP packets are obtained from a NG-RAN or UPF, UP packet delay performance measurements are generated.

Abstract: Systems and methods for measurement and reporting of average UL and DL delays and delay distributions for an NG-RAN and UPF, as well as gNB-DU DL latency, for the N3 and N9 interfaces, internal UPF delay, and between the PSA UPF and NG-RAN and between the PSA UPF and UE are described. For the UL and DL average delay and delay distributions, the measurements are split into subcounters per 5QI/QCI, S-NSSAI and/or DSCPs, with the delay distributions subcounters in bins with discrete delay ranges. The measurements aon the N3 interface delay are also differentiated between a PSA UPF and an I-UPF.

Abstract: An apparatus of a management service equipment includes processing circuitry. To configure the management service equipment for E2E performance measurements in a 5G network with a plurality of network functions (NFs), the processing circuitry is to decode RAN latency received from a RAN within the 5G network. The RAN latency is associated with transmission of an Internet protocol (IP) packet between a UE and a data network (DN) via the RAN. A user plane function (UPF) latency associated with communication of the IP packet between the RAN and a UPF within the 5G network is determined. A DN latency associated with communication of the IP packet between the UPF and the DN is determined. An E2E performance measurement calculation is performed to determine an E2E latency associated with communicating the IP packet between the UE and the DN based on the RAN latency, the UPF latency, and the DN latency.

Abstract: Network Functions Virtualization (NFV) abstracts network functions, allowing them to be installed, controlled, and manipulated by software running on standardized compute nodes such as cloud computing platform rather than on dedicated hardware. In a 5G mobile communications network, the base station or gNB may be split into virtualized and non-virtualized network functions (NFs). Described herein are systems and methods for managing such gNBs within the NFV framework.

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 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: 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: 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.