Abstract: A response handling arrangement comprises a response prioritizing device (26) with processing circuitry configured to obtain event data (ED) and/or status data (SD) in the communication network concerning a user, where the obtaining is triggered by the user initiating a connection to a response device (24) of the communication network, apply the event data (ED) and/or status data (SD) in a response selecting model (78) of a trained machine learning module (74), and obtain an indication (I) of a type of response to the user from the response selecting model of the trained machine learning module (74) based on the applied event data (ED) and/or status data (SD) for allowing a real-time response of the response type to be made to the user by the response device (24).

Abstract: A method for determining user configurations of services in a radio communication network is performed in a support system node, and includes ranking users of a service based on frequency of occurrences of user reconfiguration in the radio communication network, creating a linear regression model of user configuration for a plurality of users of the service in the radio communication network, identifying a user configuration per user of the service for a selected number of ranked users by fitting the selected number of ranked users in the linear regression model, in order to reduce user reconfiguration of the service, and providing the identified user configuration per user to the selected number of ranked users. A support system node, a computer program and a computer program for determining user configurations of services in a radio communication network are also presented.

Abstract: Managing network event data in a telecommunications network A method (200) is disclosed for managing network event data in a telecommunications network, wherein a network event is associated with a plurality of network event data fields, and wherein the telecommunications network comprises a data storage facility for network event data, the data storage facility comprising a plurality of storage functions. The method comprises obtaining queries submitted to the data storage facility (210) and, for a network event data field, determining a frequency with which data in the network event data field is required in order to respond to the obtained queries (220) and using a trained machine learning model to map the determined frequency to a value of a selection parameter for the network event data field (230).

Abstract: A method for determining user configurations of services in a radio communication network is performed in a support system node, and includes ranking users of a service based on frequency of occurrences of user reconfiguration in the radio communication network, creating a linear regression model of user configuration for a plurality of users of the service in the radio communication network, identifying a user configuration per user of the service for a selected number of ranked users by fitting the selected number of ranked users in the linear regression model, in order to reduce user reconfiguration of the service, and providing the identified user configuration per user to the selected number of ranked users. A support system node, a computer program and a computer program for determining user configurations of services in a radio communication network are also presented.

Abstract: The present disclosure relates to a method performed in an operator network providing data network connectivity to Machine-to-Machine (M2M) devices, for charging of a service session involving a plurality of the M2M devices. The method comprises, from each of the plurality of M2M devices involved in the service session, receiving a service message comprising a service identifier (SID) corresponding to the service session. The method also comprises, by means of the received SID from each of the plurality of M2M devices, determining the number of M2M devices involved in the service session. The method also comprises, based on the determined number of M2M devices, calculating a charging rate for the service session. The method also comprises using the calculated rate, charging the service session.

Abstract: A response handling arrangement comprises a response prioritizing device (26) with processing circuitry configured to obtain event data (ED) and/or status data (SD) in the communication network concerning a user, where the obtaining is triggered by the user initiating a connection to a response device (24) of the communication network, apply the event data (ED) and/or status data (SD) in a response selecting model (78) of a trained machine learning module (74), and obtain an indication (I) of a type of response to the user from the response selecting model of the trained machine learning module (74) based on the applied event data (ED) and/or status data (SD) for allowing a real-time response of the response type to be made to the user by the response device (24).

Abstract: The present disclosure relates to a method related to an online charging system for a cellular radio communication system. The method includes obtaining a notification that a refill action of a user account for the communication system is pending. The notification includes an identifier (vid) of a refill resource for the refill action. The method also includes inspecting a refill database updated by an account management function of the online charging system to determine whether the refill resource identifier is included therein, indicating whether or not the user account has been refilled based on the refill resource.

Abstract: The present disclosure relates to a method performed in an operator network providing data network connectivity to Machine-to-Machine (M2M) devices, for charging of a service session involving a plurality of the M2M devices. The method comprises, from each of the plurality of M2M devices involved in the service session, receiving a service message comprising a service identifier (SID) corresponding to the service session. The method also comprises, by means of the received SID from each of the plurality of M2M devices, determining the number of M2M devices involved in the service session. The method also comprises, based on the determined number of M2M devices, calculating a charging rate for the service session. The method also comprises using the calculated rate, charging the service session.

Abstract: The present disclosure relates to a method related to an online charging system for a cellular radio communication system. The method includes obtaining a notification that a refill action of a user account for the communication system is pending. The notification includes an identifier (vid) of a refill resource for the refill action. The method also includes inspecting a refill database updated by an account management function of the online charging system to determine whether the refill resource identifier is included therein, indicating whether or not the user account has been refilled based on the refill resource.