A method for predicting a target carrier radio condition in a communication network, comprising the steps of: - acquiring (S100), by a first network node , measurement data based on radio signals at a source carrier and a first target carrier; - identifying (S110), by the first network node or a second network node , a target carrier radio condition prediction function using the acquired measurement data, transmitting, by the first network node , the identified target carrier radio condition prediction function to a specific mobile terminal , wherein in case the target carrier radio condition prediction function is identified by the second network node, forwarding, by the first network node , the acquired measurement data to the second network node and receiving, by the first network node , the identified target carrier radio condition prediction function from the second network node ; - acquiring (S120), by the first network node or the specific mobile terminal , source carrier measurement data associated to the specific mobile terminal ; - predicting (S130), by the first network node or the specific mobile terminal , a first target carrier radio condition by using the identified target carrier radio condition prediction function and the acquired source carrier measurement data associated to the specific mobile terminal; and - predicting (S135), by the first network node or the specific mobile terminal , a radio condition for at least one more second target carrier in parallel to predicting (S130) the first target carrier radio condition by using the acquired source carrier measurement data associated to the specific mobile terminal, - conducting, by the first network node or the second network node , a training phase for identifying the target carrier radio condition prediction function when a number of source carrier measurements and a number of target carrier measurements is larger than a predetermined number. - acquiring (S100), by a first network node , measurement data based on radio signals at a source carrier and a first target carrier; - identifying (S110), by the first network node or a second network node , a target carrier radio condition prediction function using the acquired measurement data, transmitting, by the first network node , the identified target carrier radio condition prediction function to a specific mobile terminal , wherein in case the target carrier radio condition prediction function is identified by the second network node, forwarding, by the first network node , the acquired measurement data to the second network node and receiving, by the first network node , the identified target carrier radio condition prediction function from the second network node ; - acquiring (S120), by the first network node or the specific mobile terminal , source carrier measurement data associated to the specific mobile terminal ; - predicting (S130), by the first network node or the specific mobile terminal , a first target carrier radio condition by using the identified target carrier radio condition prediction function and the acquired source carrier measurement data associated to the specific mobile terminal; and - predicting (S135), by the first network node or the specific mobile terminal , a radio condition for at least one more second target carrier in parallel to predicting (S130) the first target carrier radio condition by using the acquired source carrier measurement data associated to the specific mobile terminal, - conducting, by the first network node or the second network node , a training phase for identifying the target carrier radio condition prediction function when a number of source carrier measurements and a number of target carrier measurements is larger than a predetermined number. <EOS>