USER PLANE FUNCTION (UPF) SELECTION BASED ON PREDICTED LOAD INFORMATION

    公开(公告)号:US20220312267A1

    公开(公告)日:2022-09-29

    申请号:US17839875

    申请日:2022-06-14

    IPC分类号: H04W28/08 H04W76/10 H04W28/12

    摘要: 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).

    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

    IPC分类号: H04W76/10 H04W28/08 H04W28/12

    CPC分类号: H04W28/08 H04W28/12 H04W76/10

    摘要: 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).

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

    公开(公告)号:US11412412B2

    公开(公告)日:2022-08-09

    申请号:US16742429

    申请日:2020-01-14

    IPC分类号: H04W28/08 H04W76/10 H04W28/12

    摘要: 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).