Abstract: Providing user device assisted link adaptation in communication networks is disclosed herein. In one embodiment, a method performed by a network node of a telecommunications network for optimizing selection of radio resources and transmission format for a communication session with a user device comprises receiving, by the network node, a link adaptation report message from the user device, wherein the link adaptation report message comprises a link adaptation report. The method further comprises determining a scheduling grant comprising an allocation of radio resources for the user device based on the link adaptation report. The method also comprises transmitting the scheduling grant to the user device.

Abstract: Methods and central nodes for developing machine-learning models, the method including receiving, at a central node, at least one episode including a plurality of changes of an environment. The method further includes analysing the episode to extract observations and grouping the observations from among the plurality of observations into a plurality of groups of similar observations. A first machine learning agent is then trained using a first group of similar observations from among the plurality of groups of similar observations, and a second machine learning agent is trained using a second group of similar observations from among the plurality of groups of similar observations, wherein the second group of similar observations is different to the first group of similar observations. The central node obtains a central machine-learning model based on an output from at least one of the trained first machine learning agent and the trained second machine learning agent.

Abstract: Communications from a content server to an end device via a proxy device are controlled. The content server and the proxy device are connected by a first link using a streaming control protocol. The proxy device also has a connection to the end device over a second link. The method includes obtaining information about a context of the end device. The method further includes determining where a decision should be made about controlling transmissions from the content server over the first link, based on the information about the context of the end device. The method further includes controlling transmissions from the content server over the first link, based on information relating to a Quality of Experience at the end device.