公开(公告)号：US11758436B2

公开(公告)日：2023-09-12

申请号：US17839875

申请日：2022-06-14

Applicant: Cisco Technology, Inc.

Inventor： Bincy Baburaj Narath ,  Padmaraj Ramanoudjam ,  Arun Gunasekaran ,  Raghavendra Suryanarayanarao Vidyashankar ,  Om Prakash Suthar

IPC: H04W76/10 ,  H04W28/08 ,  H04W28/12

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).

公开(公告)号：US20220312267A1

公开(公告)日：2022-09-29

申请号：US17839875

申请日：2022-06-14

Applicant: Cisco Technology, Inc.

Inventor： Bincy Baburaj Narath ,  Padmaraj Ramanoudjam ,  Arun Gunasekaran ,  Raghavendra Suryanarayanarao Vidyashankar ,  Om Prakash Suthar

IPC: H04W28/08 ,  H04W76/10 ,  H04W28/12

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).

公开(公告)号：US11412412B2

公开(公告)日：2022-08-09

申请号：US16742429

申请日：2020-01-14

Applicant: Cisco Technology, Inc.

Inventor： Bincy Baburaj Narath ,  Padmaraj Ramanoudjam ,  Arun Gunasekaran ,  Raghavendra Suryanarayanarao Vidyashankar ,  Om Prakash Suthar

IPC: H04W28/08 ,  H04W76/10 ,  H04W28/12

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).

公开(公告)号：US20210219179A1

公开(公告)日：2021-07-15

申请号：US16742429

申请日：2020-01-14

Applicant: Cisco Technology, Inc.

Inventor： Bincy Baburaj Narath ,  Padmaraj Ramanoudjam ,  Arun Gunasekaran ,  Raghavendra Suryanarayanarao Vidyashankar ,  Om Prakash Suthar

IPC: 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).