Abstract: A method and system for more efficient federated learning (FL) of a machine learning (ML) model using user equipment (UEs) in cellular networks are disclosed. In particular, a system is provided for reducing the impact of poor channel conditions in a cellular network on the FL process. The cellular network may be a 5G, 6G or next generation cellular network. Advantageously, this disclosure creates redundancies in the transmission of FL trained model parameters to reduce the likelihood of an FL training process being stalled by a failure in transmission of data between UEs and a central parameter server which updates an ML model using data received from UEs.

Abstract: A method for setting a value of an inactivity timer for transitioning between states of a data session in a network comprising a first entity and a second entity providing network analytics is provided. The method includes obtaining, by the second entity, input data comprising communication description information for at least one user equipment (UE), and providing, by the second entity to the first entity, output analytics generated based on the input data, the output analytics comprising UE communications analytics for each data session where the output analytics are used to determining whether to update a value of an inactivity timer for a data session.

Abstract: A method for setting a value of an inactivity timer for transitioning between states of a data session in a network comprising a first entity and a second entity providing network analytics is provided. The method includes obtaining, by the second entity, input data comprising communication description information for at least one user equipment (UE), and providing, by the second entity to the first entity, output analytics generated based on the input data, the output analytics comprising UE communications analytics for each data session where the output analytics are used to determining whether to update a value of an inactivity timer for a data session.

Abstract: The present disclosure relates to a communication technique for converging IoT technology with a 5G communication system for supporting a higher data transmission rate beyond a 4G system, and a system therefor. The present disclosure may be applied to an intelligent service (for example, a smart home, a smart building, a smart city, a smart car or connected car, health care, digital education, retail business, a security and safety-related service, etc.) on the basis of 5G communication technology and IoT-related technology.

Abstract: A method for setting a value of an inactivity timer for transitioning between states of a data session in a network comprising a first entity and a second entity providing network analytics is provided. The method includes obtaining, by the second entity, input data comprising communication description information for at least one user equipment (UE), and providing, by the second entity to the first entity, output analytics generated based on the input data, the output analytics comprising UE communications analytics for each data session where the output analytics are used to determining whether to update a value of an inactivity timer for a data session.

Abstract: Disclosed is a method of operating a telecommunication network comprising the steps of: a User Equipment, UE, collecting information related to a load that it imposes on a visited cell, wherein the load comprises a radio resource load and a virtual resource load; the UE reporting the information to a serving cell, in response to a request for the information.

Abstract: A method for setting a value of an inactivity timer for transitioning between states of a data session in a network comprising a first entity and a second entity providing network analytics is provided. The method includes obtaining, by the second entity, input data comprising communication description information for at least one user equipment (UE), and providing, by the second entity to the first entity, output analytics generated based on the input data, the output analytics comprising UE communications analytics for each data session where the output analytics are used to determining whether to update a value of an inactivity timer for a data session.