Abstract: The properties of a plurality of operational units are estimated by generating a central system state graph model representing the properties of the plurality of operational units as probabilities of transitions between states for the plurality of operational units, where the states represent operational data. Then a respective updated system state graph model is generated for each of the plurality of operational units, based on the central system state graph model and based on new operational data for the respective operational unit. A distance measure is determined between the respective updated system state graph models. If the distance measure fulfils a divergence criterion, a plurality of new central system state graph models are generated, each representing the properties of a respective subset of the plurality of operational units as the probabilities of transitions between states for the respective subset of the plurality of operational units.

Abstract: There is provided a method performed by a central entity of a network. A first set of features is selected for a machine learning model to take into account when analysing data. The machine learning model is to be deployed at an edge entity of the network. The selection is based on first information indicative of data that is available for the machine learning model to analyse, second information indicative of features that are available for the machine learning model to take into account when analysing data, and contextual information associated with the network.

Abstract: A method for controlling a parking of a plurality of autonomous vehicles parking in a row is provided. The method includes determining a minimum row length of the row needed to park the plurality of vehicles in the row taking into account a minimum physical space including an individual vehicle length, determining at least one additional space requirement of at least one of the plurality of vehicles which is temporarily needed by said at least one vehicle for a predefined event, determining a total row length of the row, determining a free space in the row, distributing the free space to the row, determining parking information for each of the plurality of vehicles based on the distributed free space, and distributing the parking information to at least some of the plurality of vehicles.

Abstract: The present disclosure relates to methods and devices (14, 20) for enabling mitigation of radio traffic overload in at least one radio cell (19) among a group of radio cells (17, 18, 19). In an aspect, a method of a supervising device (20) of enabling mitigation of radio traffic overload in at least one radio cell (19) among a group of radio cells (17, 18, 19) is provided.

Abstract: A method (200) performed by a node (100) in a telecommunications network for selecting a preferred action to take from a plurality of proposed actions in order to achieve a target network configuration in the telecommunications network. The method comprises obtaining (202) the plurality of proposed actions, evaluating (204) each of the plurality of proposed actions compared to the target network configuration using a computational argumentation process, and selecting (206) the preferred action, based on the results of the evaluating.

Abstract: It is presented a method for session analysis in a wireless communication network. The method is performed in a network node of the wireless communication network and comprises receiving a session report from a wireless terminal, the wireless terminal being within a coverage region of the wireless communication network, obtaining a network report associated with the session report, and storing a session network report associated with performance of the obtained network report and performance of the received the session report, for the coverage region. It is also presented a network node, a wireless terminal, a computer program and a computer program product thereof.

Abstract: A method of configuration in a communications network includes: obtaining operational data relating to operation of at least one network node, the operational data including, for each of a plurality of time periods, data relating to at least one configuration parameter of the network node and data relating to at least one performance indicator of the network node; defining a plurality of actions, wherein each action corresponds to a specific set of values of the at least one configuration parameter in two successive time periods; and defining a plurality of states, wherein each state corresponds to one specific set of values of the operational data. A probabilistic graph is constructed from the operational data, the probabilistic graph indicating, for a plurality of the defined states, a probability that an action will lead to a transition to a respective other state.

Abstract: A method for controlling a parking of a plurality of autonomous vehicles parking in a row is provided. The method includes determining a minimum row length of the row needed to park the plurality of vehicles in the row taking into account a minimum physical space including an individual vehicle length, determining at least one additional space requirement of at least one of the plurality of vehicles which is temporarily needed by said at least one vehicle for a predefined event, determining a total row length of the row determining a free space in the row, distributing the free space to the row, determining parking information for each of the plurality of vehicles based on the distributed free space, and distributing the parking information to at least some of the plurality of vehicles.

Abstract: The properties of a plurality of operational units are estimated by generating a central system state graph model representing the properties of the plurality of operational units as probabilities of transitions between states for the plurality of operational units, where the states represent operational data. Then a respective updated system state graph model is generated for each of the plurality of operational units, based on the central system state graph model and based on new operational data for the respective operational unit. A distance measure is determined between the respective updated system state graph models. If the distance measure fulfils a divergence criterion, a plurality of new central system state graph models are generated, each representing the properties of a respective subset of the plurality of operational units as the probabilities of transitions between states for the respective subset of the plurality of operational units.

Abstract: A method by one or more network devices executing one or more smart contracts stored in a blockchain for anonymizing faces appearing in digital media content. The method includes obtaining, for each of a plurality of users, a facial model associated with that user, obtaining digital media content digital media content, determining whether that detected face matches the face of any of the plurality of users based on applying one or more of the facial models associated with the plurality of users to that detected face, anonymizing that detected face to generate an anonymized face in response to a determination that that detected face matches the face of one of the plurality of users, and providing the anonymized face to the media platform.

Abstract: A method performed by a technician allocation system for allocating a field technician is provided. The technician allocation system identifies features f_1 . . . f_(n) of a received new work order to be executed. The technician allocation system then obtains a similarity score for the identified features f_1 . . . f_n, wherein the similarity score is related to how similar the new work order is to previously executed old work orders with respect to the identified features. The technician allocation system also obtains a field technician experience score for the identified features f_1 . . . f_n. The technician allocation system then matches the field technician candidates with the features f_1 . . . f_n for the new work order based on the obtained field technician experience scores and the similarity scores.

Abstract: It is presented a method for session analysis in a wireless communication network. The method is performed in a network node of the wireless communication network and comprises receiving a session report from a wireless terminal, the wireless terminal being within a coverage region of the wireless communication network, obtaining a network report associated with the session report, and storing a session network report associated with performance of the obtained network report and performance of the received the session report, for the coverage region. It is also presented a network node, a wireless terminal, a computer program and a computer program product thereof.

Abstract: It is presented a method for session analysis in a wireless communication network. The method is performed in a network node (5) of the wireless communication network (4) and comprises receiving (70) a session report from a wireless terminal (1), the wireless terminal being within a coverage region of the wireless communication network, obtaining (72) a network report associated with the session report, and storing (73) a session network report associated with performance of the obtained network report and performance of the received the session report, for the coverage region. It is also presented a network node, a wireless terminal, a computer program and a computer program product thereof.

Abstract: The present invention relates to a processing entity (100) for providing data for a process during process run-time in a distributed processing arrangement. The processing entity comprises a provider (101) for providing the data for the process during the process run-time by value or by reference in dependency on a data processing criterion.

Abstract: The invention relates to a method in a network comprising a plurality of nodes for monitoring an object, wherein a first node (100) performs or triggers the steps of providing (202), in the network, a first rank value for monitoring the object by the node, determining a comparison result by comparing the first rank value with at least a second rank value provided by another node or receiving a result of the comparison, and transferring or assuming a monitoring responsibility based on the comparison result; the invention further related to a corresponding computer program, a corresponding computer program product and a corresponding node.

Abstract: There is provided a data structure for re-configuration of an application hosted in a cloud computing environment. The data structure comprises a software template for use in a software scheme. The software template describes a flow of actions executable by a cloud management unit in the cloud computing environment for re-configuration of an application hosted by the management unit and executable by the management unit using the software scheme. The software template comprises software instructions comprising a first portion of software instructions non-editable by a programming interface unit of the hosted application. The software template allows for a second portion of software instructions to be added to the software template by the programming interface unit of the hosted application. Methods and devices for re-configuration using the data structure are also provided.

Abstract: A score management node identifies characteristics of a user, defines a user profile for the user which user profile comprises at least one predefined user group that matches the identified user characteristics, and sets user-specific model parameters based on the defined user profile wherein the user-specific model parameters are valid for the at least one user group in the user profile. When receiving network measurements related to service events when the service is delivered to the user, the score management node determines a quality score reflecting the user's perception of quality of service delivery and an associated significance reflecting the user's perception of importance of each service delivery, by applying the user-specific model parameters on each network measurement. The score management node then calculates the perception score based on the quality scores and associated significances, wherein the calculated perception score is made available for the service evaluation.

Abstract: A method and a score management node for supporting service evaluation by obtaining a perception score reflecting a user's experience of one or more services delivered by a telecommunication network. The score management node receives a network measurement related to a current service event of service delivery to the user within a predefined time length from a previous service event, and determines a correlation level reflecting the user's perception of the current service event as correlated with the previous service event. A quality score is determined for the current service event, reflecting the user's perception of quality of service delivery and an associated significance reflecting the user's perception of importance of service delivery, based on the network measurement and the correlation level. The perception score is then calculated for the current service event as the quality score weighted by the associated significance and is made available for the service evaluation.

Abstract: It is presented a method for session analysis in a wireless communication network. The method is performed in a network node (5) of the wireless Start communication network (4) and comprises receiving (70) a session report from a wireless terminal (1), the wireless terminal being within a coverage region of the wireless communication network, obtaining (72) a network report associated with the session report, and storing (73) a session network report associated with Receive session report performance of the obtained network report and performance of the received the session report, for the coverage region. It is also presented a network node, a wire-less terminal, a computer program and a computer program product thereof.

Abstract: A method and score management node for supporting service evaluation of a service delivered by means of a telecommunication network. The score management node receives network measurements (v) related to at least one service event when the service is delivered to the user, and calculates a quality score Q for each received network measurement by applying a predefined scoring algorithm Q(v) on the network measurement. After identifying, among the calculated quality scores, quality scores Q which are related to a specific service session experienced by the user, the score management node determines a total session-specific quality score for the specific service session based on the identified quality scores Q. The determined total session-specific quality score can then be used for evaluation of the delivered service.