User plane function (UPF) selection based on predicted load information

    公开(公告)号:US11758436B2

    公开(公告)日:2023-09-12

    申请号:US17839875

    申请日:2022-06-14

    CPC classification number: H04W28/08 H04W28/12 H04W76/10

    Abstract: When a packet data session is established for a user equipment (UE), a comparative assessment of load information factors from different sets of load information factors associated with a plurality of user plane function (UPF) instances may be performed. Each set of load information factors of a UPF instance may include predicted load information factors indicative of a predicted load at the UPF instance. A UPF instance may be selected for the packet data session of the UE based on the comparative assessment. The comparative assessment may additionally consider a predicted load contribution of the packet data session to be established for the UE. A data analytics function may utilize a model (e.g. a multiple linear regression model) to calculate predicted load contribution factors, where the model is derived based on historical usage data from previous sessions of one or more UEs, for example, data from charging data records (CDRs).

    Multi-domain service assurance using real-time adaptive thresholds

    公开(公告)号:US11449748B2

    公开(公告)日:2022-09-20

    申请号:US16172724

    申请日:2018-10-26

    Abstract: Techniques for adaptive thresholding are provided. First and second data points are received. A plurality of data points are identified, where the plurality of data points corresponds to timestamps associated with the first and second data points. At least one cluster is generated for the plurality of data points based on a predefined cluster radius. Upon determining that the first data point is outside of the cluster, the first data point is labeled as anomalous. A predicted value is generated for the second data point, based on processing data points in the cluster using a machine learning model, and a deviation between the predicted value and an actual value for the second data point is computed. Upon determining that the deviation exceeds a threshold, the second data point is labeled as anomalous. Finally, computing resources are reallocated, based on at least one of the anomalous data points.

    Selecting a user plane function (UPF) for layer 2 networks

    公开(公告)号:US11356513B2

    公开(公告)日:2022-06-07

    申请号:US17024465

    申请日:2020-09-17

    Abstract: A network function (NF) entity in a communication network receives User Plane Function (UPF) registration information for a plurality of UPFs, the registration information including a respective network attribute for each UPF. The NF entity associates each UPF with a corresponding network based on the respective network attribute, and map one or more User Equipment (UE) to the corresponding network based on a security policy to create a UE-to-network table. The NF further receives a request to establish a session for a subsequent UE, the request including a subsequent UE identifier, and determine an access permission for the subsequent UE to access the corresponding network based on the subsequent UE identifier and the UE-to-network table. The NF selects one UPF from the plurality of UPF to service the session for the subsequent UE based on the access permission, and an association between the one UPF and the corresponding network.

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