Channel Classification with Hidden Markov Models in Mobile Networks

In telecommunication networks, Key Performance Indicators (KPIs) are monitored to ensure higher Quality of Service (QoS) in communication networks. With the significant increase of data traffic on the mobile network, a detailed analysis of the transmission quality is becoming increasingly important. Existing classification approaches are widely considered to classify network traffic and not the channel in itself. The aim of this work is to implement a channel estimation tool based on hidden Markov models that is able to determine transmission channel characteristics in mobile radio receivers.