Nokia Solutions and Networks Oy

Nokia Technologies Oy

Benedek Schultz

Janne Tapio Ali-Tolppa

Márton Kajó

Jeroen Wigard

Nitin R Mangalvedhe

Elena Virtej

Istvan Zsolt Kovacs

Mikko Säily

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.

Diagnosis knowledge sharing for self-healing

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.

Method and an apparatus for fault prediction in network management

Systems, methods, apparatuses, and computer program products for deploying an unmanned vehicle base station (BS) are provided. One method may include receiving an indication from at least one device of its capability to switch to a temporary cell of an unmanned vehicle base station (BS), and determining, based on knowledge of locations on a planned path of the unmanned vehicle base station (BS), which of the at least one device is located within coverage of one of the locations on the planned path. The method may then include configuring discontinuous reception cycles or Power-Saving Mode (PSM) of the at least one device so that the at least one device is awake when the unmanned vehicle base station (BS) establishes the temporary cell.

Methods and apparatuses for deploying a moving base station for internet of things (IoT) applications

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Budapest, Hungary

Benedek Schultz