The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Sep. 12, 2023

Filed:

Jun. 14, 2022
Applicant:

Cisco Technology, Inc., San Jose, CA (US);

Inventors:

Bincy Baburaj Narath, Bangalore, IN;

Padmaraj Ramanoudjam, Puducherry, IN;

Arun Gunasekaran, Bangalore, IN;

Raghavendra Suryanarayanarao Vidyashankar, Bangalore South, IN;

Om Prakash Suthar, Bolingbrook, IL (US);

Assignee:

CISCO TECHNOLOGY, INC., San Jose, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04W 76/10 (2018.01); H04W 28/08 (2023.01); H04W 28/12 (2009.01);
U.S. Cl.
CPC ...
H04W 28/08 (2013.01); H04W 28/12 (2013.01); H04W 76/10 (2018.02);
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).


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