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公开(公告)号:US20240250882A1
公开(公告)日:2024-07-25
申请号:US18408709
申请日:2024-01-10
Applicant: Nokia Solutions and Networks Oy
IPC: H04L41/147 , H04L41/16
CPC classification number: H04L41/147 , H04L41/16
Abstract: An apparatus for predictive maintenance, the apparatus comprising means for:
Collecting a primary data bundle, wherein the primary data bundle comprises a first set of measurement time-series, wherein the first set of measurement time-series represents first alarms relating to a physical module of a telecommunications network,
Processing maintenance data to determine whether the primary data bundle is associated with a maintenance intervention on the physical module,
In response to determining that the primary data bundle is associated with a maintenance intervention, collecting a secondary data bundle, wherein the secondary data bundle comprises a second set of measurement time-series, wherein the second set of measurement time-series represents second alarms relating to the physical module,
Training a predictive model using the primary data bundle and the secondary data bundle, wherein the predictive model is configured to compute an anomaly-related prediction.-
公开(公告)号:US20240155383A1
公开(公告)日:2024-05-09
申请号:US18547446
申请日:2021-03-16
Applicant: Nokia Solutions and Networks Oy
Inventor: Antonio MASSARO , Robert SEIDL , Daniel WELLINGTON , Armen AGHASARYAN
IPC: H04W24/02
Abstract: A method includes receiving at least one network performance indicator of a communication network from at least one cell in the network; determining a reward for the at least one cell in the network based on the at least one network performance indicator; and determining whether to modify at least one self-organizing network parameter of the at least one cell in the network to change the at least one network performance indicator or an average value of the reward, based in part on the determined reward.
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