公开(公告)号：WO2021080810A1

公开(公告)日：2021-04-29

申请号：PCT/US2020/055306

申请日：2020-10-13

Applicant: CISCO TECHNOLOGY, INC.

Inventor： VIDYASHANKAR, Raghavendra Suryanarayana Rao ,  GUNASEKARAN, Arun ,  RAMANOUDJAM, Padmaraj ,  SUTHAR, Om Prakash

IPC: H04L12/24 ,  H04W12/10

Abstract: In one embodiment, a method includes determining a first configuration information for configuring a user plane device of the first network slice associated with the control plane device, generating a first configuration identifier based on the first configuration information, sending, to the user plane device of the first network slice, the first configuration identifier and the first configuration information, receiving, from the user plane device of the first network slice, a second configuration identifier, wherein the second configuration identifier is generated by the user plane device of the first network slice based on the first configuration information received from the control plane device, and verifying, by comparing the first configuration identifier and the second configuration identifier, that the user plane device of the first network slice is configured using the first configuration information.

公开(公告)号：WO2021146090A1

公开(公告)日：2021-07-22

申请号：PCT/US2021/012403

申请日：2021-01-07

Applicant: CISCO TECHNOLOGY, INC.

Inventor： NARATH, Bincy Baburaj ,  RAMANOUDJAM, Padmaraj ,  GUNASEKARAN, Arun ,  VIDYASHANKAR, Raghavendra Suryanarayanarao ,  SUTHAR, Om Prakash

IPC: H04W24/02 ,  H04W28/08 ,  H04W28/0831 ,  H04W28/0842 ,  H04W28/0958 ,  H04W28/12 ,  H04W76/10 ,  H04W76/12

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).