Modeling 5G wireless network service reliability prediction with bayesian network

In 5G networks, prediction of service reliability is critical because of strict service performance requirements. In this work, we present a wireless service model for reliability computation, and we use Bayesian network (BN) to compactly represent the joint probability distribution. Furthermore, we use the model to predict network service reliability and infer hidden states of a network. Our approach provides a promising direction for modeling network service reliability and insight in designing next generation networks which comply with high service quality requirements.