Machine Learning (ML) and Artificial Intelligence (AI) have become alternative approaches
in wireless networksbeside conventional approaches such as model based
solutionconcepts. Whereas traditional design concepts include the mod-elling of the
behaviour of the underlying processes, AI basedapproaches allow to design network
functions by learning frominput data which is supposed to get mapped to specific outputs
(training). Additionally, new input/output relations can be learntduring the deployement …