公开(公告)号：US11671308B2

公开(公告)日：2023-06-06

申请号：US17290175

申请日：2018-10-30

Applicant: Nokia Solutions and Networks Oy

Inventor： Janne Tapio Ali-Tolppa ,  Benedek Schultz ,  Márton Kajó

IPC: H04L41/0631 ,  H04L41/0654 ,  H04L41/12 ,  H04L41/14 ,  H04L41/5009 ,  H04W24/04 ,  H04W24/08 ,  H04W24/10

CPC classification number: H04L41/064 ,  H04L41/065 ,  H04L41/0654 ,  H04L41/12 ,  H04L41/145 ,  H04L41/5009 ,  H04W24/04 ,  H04W24/08 ,  H04W24/10

Abstract: According to an aspect, there is provided a local diagnosis system comprising means for performing the following. The local diagnosis system detects one or more anomaly events associated with a communications network. Each anomaly event defines an anomaly pattern describing a data point in a performance indicator space. Then, the local diagnosis system updates one or more local cluster models to incorporate the one or more anomaly patterns within complexity constraints. Each of the one or more local cluster models corresponds to a different diagnosis label defining a diagnosis. In response to failing according to one or more per-defined criteria to incorporate, in the updating, the one or more anomaly patterns to the one or more local cluster models, the local diagnosis system forwards at least the one or more local cluster models and one or more associated diagnosis labels to a central diagnosis system for further diagnosis.

公开(公告)号：US11558262B2

公开(公告)日：2023-01-17

申请号：US17297378

申请日：2018-11-28

Applicant: Nokia Solutions and Networks Oy

Inventor： Benedek Schultz ,  Janne Tapio Ali-Tolppa ,  Márton Kajó

IPC: H04L29/08 ,  H04L41/147 ,  H04L41/16

Abstract: Network management apparatus and methods are described. A network management apparatus comprises network data receiving means for receiving network data that is representative of the current condition of a communications network, the network data comprising a plurality of values indicative of the performance of network elements; network data transformation means for transforming the received network data into a network state vector that is indicative of a current state of the network; and network state prediction means for predicting a future network state vector of the network from the current network state vector, the network state prediction means comprising a self-learning prediction module having a memory for storing at least one internal state.

公开(公告)号：US20220021587A1

公开(公告)日：2022-01-20

申请号：US17297378

申请日：2018-11-28

Applicant: Nokia Solutions and Networks Oy

Inventor： Benedek Schultz ,  Janne Tapio Ali-Tolppa ,  Márton Kajó

IPC: H04L12/24

Abstract: Network management apparatus and methods are described. A network management apparatus comprises network data receiving means for receiving network data that is representative of the current condition of a communications network, the network data comprising a plurality of values indicative of the performance of network elements; network data transformation means for transforming the received network data into a network state vector that is indicative of a current state of the network; and network state prediction means for predicting a future network state vector of the network from the current network state vector, the network state prediction means comprising a self-learning prediction module having a memory for storing at least one internal state.

公开(公告)号：US20210392031A1

公开(公告)日：2021-12-16

申请号：US17290175

申请日：2018-10-30

Applicant: Nokia Solutions and Networks Oy

Inventor： Janne Tapio Ali-Tolppa ,  Benedek Schultz ,  Márton Kajó

IPC: H04L12/24 ,  H04W24/04 ,  H04W24/08 ,  H04W24/10

Abstract: According to an aspect, there is provided a local diagnosis system comprising means for performing the following. The local diagnosis system detects one or more anomaly events associated with a communications network. Each anomaly event defines an anomaly pattern describing a data point in a performance indicator space. Then, the local diagnosis system updates one or more local cluster models to incorporate the one or more anomaly patterns within complexity constraints. Each of the one or more local cluster models corresponds to a different diagnosis label defining a diagnosis. In response to failing according to one or more per-defined criteria to incorporate, in the updating, the one or more anomaly patterns to the one or more local cluster models, the local diagnosis system forwards at least the one or more local cluster models and one or more associated diagnosis labels to a central diagnosis system for further diagnosis.