US 12,231,301 B2
Cause inference regarding network trouble
Shinya Kita, Tokyo (JP)
Assigned to RAKUTEN MOBILE, INC., Tokyo (JP)
Appl. No. 18/043,041
Filed by RAKUTEN MOBILE, INC., Tokyo (JP)
PCT Filed May 30, 2022, PCT No. PCT/JP2022/021958
§ 371(c)(1), (2) Date Feb. 27, 2023,
PCT Pub. No. WO2023/233470, PCT Pub. Date Dec. 7, 2023.
Prior Publication US 2024/0283707 A1, Aug. 22, 2024
Int. Cl. H04L 41/16 (2022.01); H04L 41/0631 (2022.01); H04L 41/40 (2022.01)
CPC H04L 41/16 (2013.01) [H04L 41/064 (2013.01); H04L 41/40 (2022.05)] 8 Claims
OG exemplary drawing
 
1. A network system, comprising one or more processors, the network system being configured to cause at least one of the one or more processors to execute:
a cause inference process for acquiring an output obtained when input data including an index acquired from a target network of a plurality of networks is input to a cause inference model which is one of a plurality of cause inference models, the plurality of cause inference models being respectively correspond to a plurality of groups into which the plurality of networks have been classified and being trained based on training data including input data including an index acquired for each corresponding group and ground truth data indicating a cause of a trouble, and the input cause inference model being corresponded to one of the plurality of groups to which the target network belongs; and
a response process for executing a process for responding to a trouble that has occurred in the target network based on the output of the cause inference model for the target network.