Patents by Inventor Bincy Baburaj Narath

Bincy Baburaj Narath has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 11758436
    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).
    Type: Grant
    Filed: June 14, 2022
    Date of Patent: September 12, 2023
    Assignee: CISCO TECHNOLOGY, INC.
    Inventors: Bincy Baburaj Narath, Padmaraj Ramanoudjam, Arun Gunasekaran, Raghavendra Suryanarayanarao Vidyashankar, Om Prakash Suthar
  • Publication number: 20220312267
    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).
    Type: Application
    Filed: June 14, 2022
    Publication date: September 29, 2022
    Inventors: Bincy Baburaj Narath, Padmaraj Ramanoudjam, Arun Gunasekaran, Raghavendra Suryanarayanarao Vidyashankar, Om Prakash Suthar
  • Patent number: 11412412
    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).
    Type: Grant
    Filed: January 14, 2020
    Date of Patent: August 9, 2022
    Assignee: CISCO TECHNOLOGY, INC.
    Inventors: Bincy Baburaj Narath, Padmaraj Ramanoudjam, Arun Gunasekaran, Raghavendra Suryanarayanarao Vidyashankar, Om Prakash Suthar
  • Publication number: 20210219179
    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).
    Type: Application
    Filed: January 14, 2020
    Publication date: July 15, 2021
    Inventors: Bincy Baburaj Narath, Padmaraj Ramanoudjam, Arun Gunasekaran, Raghavendra Suryanarayanarao Vidyashankar, Om Prakash Suthar