Telefonaktiebolaget Lm Ericsson (Publ)

Mingxue Wang

Vincent Huang

Jimmy O'Meara

Paddy Farrell

Robin Grindrod

Yujie He

John Keeney

A method of real-time processing of network events, wherein an event comprises a plurality of attributes. The method comprises maintaining counters, including counters indicating numbers of occurrences and co-occurrences of instances of specific attributes of received network events, maintaining a record of instances of specific attributes of recent events, receiving a first event, increasing respective counters based on the instances of attributes of the first event. The method further comprises calculating relation measure scores between a first instance of the first attribute of the first event and instances of the first attribute of events recently received. The relation measure score depends on a number of co-occurrences in which the first instance of the first attribute and a second instance of the first attribute were received within the measurement window, the total number of occurrences of the first instance and the total number of occurrences of the second instance. The method also comprises identifying a group of events as related based on their relation measure scores and creating incident information based on the identified group of events.

Method and device for real-time network event processing

The invention relates to a network node and a method for handling alarms in a communications network. The method comprises, for a set S of alarms collected in the communications network during a time period T: &#x2014;obtaining a first and a second type of alarms and their time of arrival from the set; and applying Kernal Density Estimation on the respective first and second type of alarms, by applying a distribution function to each occurrence of the first and second type of alarms; thus obtaining a respective distribution function for the first and second type of alarms over the time period T. The method further comprises determining a maximum correlation between the distribution function for the first type of alarms and the distribution function for the second type of alarms, and determining the time shift between the distribution functions associated with the maximum correlation; and obtaining an indication of a mutual relation between the first and second type of alarms based on the maximum correlation and the time shift. The method further comprises comparing the obtained indication with at least a first threshold, and managing the alarm types based on the comparison.

Managing network alarms

A cell is recommended to a first user equipment for selection during its cell selection process, wherein the recommendation is based on a performance parameter between the cell and a second user equipment, wherein the recommendation is based on a determined degree of similarity between the first user equipment and the second user equipment.

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Athlone, Ireland

Mingxue Wang