Elisa Oyj

Example embodiments relate to user driven optimization of a communication network. A computer-implemented method may comprise obtaining user level radio frequency data associated with a communication network; analysing the user level radio frequency data to identify a performance of at least one stationary user device in the communications network; and outputting, based on the analysis, optimization information to optimize the performance associated with the at least one stationary user device.

A computer implemented method for controlling a communications network. It is checked whether amount of handover failures from a first cell to a second cell exceeds a first threshold. Responsive to identifying that the amount of handover failures from the first cell to the second cell exceeds ( 301 ) the first threshold, a new cell identifier code is set ( 306 ) for the second cell in the communication network.

A layered control system for managing a distributed energy storage, DES, system, wherein the DES system comprises a plurality of nodes ( 121 - 125 ), each node comprising one or more battery units. The layered control system comprises a first control layer ( 301 ), a second control layer ( 302 ) and a third control layer ( 303 ). The first control layer ( 301 ) is configured to determine in advance an operating plan for the DES system for a plurality of time slots of a first time period based on aggregated properties of the DES system, wherein the operating plan comprises allocation of aggregated capacity of the DES system for the plurality of time slots; and to convey the operating plan to the second control layer. The second control layer ( 302 ) is configured to determine rules for selecting nodes of the DES system for obtaining the allocated aggregated capacity; to monitor operation of the DES system in real time and responsively state adjust the rules; and to convey the rules to the third control layer. The third control layer ( 303 ) is configured to execute selection and activation of individual nodes of the DES system in accordance with the rules.

According to an embodiment, a computer-implemented method for managing voice call initiation comprises: performing at least one voice call according to a preconfigured script, wherein the preconfigured script comprises a plurality of steps; obtaining, during the at least one voice call, a time estimate for performing at least one step of the plurality of steps of the preconfigured script; computing, during the at least one voice call, a remaining time estimate for each voice call in the at least one voice call based on the time estimate for performing the at least one step of the plurality of steps of the preconfigured script; and determining whether to initiate a new voice call during the at least one voice call according to the remaining time estimate of each voice call in the at least one voice call.

According to an aspect, there is provided an apparatus for selective mobile operator call setup comprises means for performing the following. The apparatus maintains, in a database, subscriber information of a mobile operator. The subscriber information comprises, for each of a plurality of mobile subscribers, a phone number of a mobile subscriber and one or more predefined exception criteria for allowing incoming international calls. The apparatus receives a call setup request for an incoming international call. The apparatus determines phone numbers of calling and called parties. The apparatus searches the database based on the phone number of the called party. In response to finding subscriber information of the called party, the apparatus determines whether the phone number satisfies the one or more predefined exception criteria. In response to the phone number failing to satisfy the one or more predefined exception criteria, the apparatus blocks the incoming international call.

Example embodiments may relate to performance verification in a cellular communication network. A computer-implemented method may comprise: detecting a change in a configuration of a cellular communication network; determining a classification for a network object of the cellular communication network, wherein the classification is indicative of whether performance data obtained prior to the change is applicable for the network object; selecting a performance verification procedure for the network object based on the classification of the network object; and causing execution of the performance verification procedure for the network object.

According to an aspect, there is provided a computer-implemented method comprising the following. Initially, information on a plurality of anomaly events relating to operation of a target system is obtained. The information comprises one or more time series of anomaly score data. Segments satisfying one or more pre-defined criteria for anomalous operation are detected from the one or more time series. The one or more pre-defined criteria are defined to exclude fully non-anomalous anomaly score data. Anomaly durations and standardized anomaly scores are determined for the segments. Partition or density based clustering is performed in a two-dimensional space formed by the standardized anomaly scores and the anomaly durations to form n clusters, and m smallest clusters of the n clusters are identified. At least one of the following is performed: outputting information on the m smallest clusters or causing adjusting of operation of the target system based on the m smallest clusters.

A computer implemented method for analyzing a target system for the purpose of controlling the target system. The method includes receiving ( 310 ) a matrix of observations, wherein rows of the matrix represent observations related to the target system and columns of the matrix represent values of different variables for each observation, or vice versa: performing ( 311 ) anomaly detection on the matrix of observations to obtain a matrix of anomaly coefficients: clustering ( 312 ) the matrix of anomaly coefficients to obtain clustered anomaly coefficients; determining ( 313 ) observations that substantially deviate from the core of any cluster in the clustered anomaly coefficients to be anomalous observations; and providing ( 314 ) results of the anomaly detection for detecting problems and taking corrective actions.

A method for electrical component matching. The method includes receiving an input indicative of a given electrical component for which at least one matching electrical component is required to be identified; inferring specifications of the given electrical component using the input; determining a first set of electrical components from amongst the plurality of electrical components using rule-based cases applied corresponding to the specifications; determining a second set of electrical components from amongst the plurality of electrical components using machine learning; generating raw output data comprising product data of the electrical components of the first set and the second set; and processing the raw output data for generating processed output data.

A computer implemented method for identifying a stationary user device of a communications network by obtaining usage data from the communications network; analysing the usage data to check whether a user device fulfils the conditions of a stationary user device; responsive to finding that the user device fulfils said conditions of a stationary user device, concluding that the user device is stationary; and outputting information about the user device being stationary for the purpose of further analysis and/or management of the communications network. The conditions of a stationary user device require that the amount of data transmission to or from the user device exceeds a first threshold, and that the user device has been connected to a predefined maximum number or fewer base stations or cells.