A method for operating a policy control entity in a cellular network, the method comprising: - determining a quality of service parameter for a data packet session in which one trained model from a plurality of trained models is downloaded to a mobile entity, wherein the plurality of different trained models differ from one another by a data size and a number of features used by the corresponding model to carry out a certain task, - determining at least one capacity parameter of the mobile entity describing a processing capacity of the mobile entity, - determining a network transmission parameter of the cellular network describing transmission capabilities of the cellular network for transmitting the one trained model, - determining said one trained model from the plurality of different trained models based on a dataset which maps different capacity parameters and transmission capabilities to the plurality of trained models, on the determined capacity parameter, the quality of service parameter, and on the network transmission parameter, - determining routing information indicating where said one trained model is accessible for a transmission to the mobile entity, - transmitting the routing information to a session management entity configured to manage the data packet session in the cellular network, wherein the plurality of trained models differ from one another by the number of features and by an amount of compression of the features with which the corresponding features of the plurality of trained models are transmitted through the cellular network, wherein the dataset indicates the compression parameter in dependence on the network transmission parameter and the capacity parameter, wherein in at least some of the plurality of trained models different importance levels are given to the different features, wherein the dataset indicates that features with a higher importance level are to be transmitted to the mobile entity with a lower compression compared to the features with a lower importance level. - determining a quality of service parameter for a data packet session in which one trained model from a plurality of trained models is downloaded to a mobile entity, wherein the plurality of different trained models differ from one another by a data size and a number of features used by the corresponding model to carry out a certain task, - determining at least one capacity parameter of the mobile entity describing a processing capacity of the mobile entity, - determining a network transmission parameter of the cellular network describing transmission capabilities of the cellular network for transmitting the one trained model, - determining said one trained model from the plurality of different trained models based on a dataset which maps different capacity parameters and transmission capabilities to the plurality of trained models, on the determined capacity parameter, the quality of service parameter, and on the network transmission parameter, - determining routing information indicating where said one trained model is accessible for a transmission to the mobile entity, - transmitting the routing information to a session management entity configured to manage the data packet session in the cellular network, wherein the plurality of trained models differ from one another by the number of features and by an amount of compression of the features with which the corresponding features of the plurality of trained models are transmitted through the cellular network, wherein the dataset indicates the compression parameter in dependence on the network transmission parameter and the capacity parameter, wherein in at least some of the plurality of trained models different importance levels are given to the different features, wherein the dataset indicates that features with a higher importance level are to be transmitted to the mobile entity with a lower compression compared to the features with a lower importance level. <EOS>