Modeling 5G Wireless Network Service Reliability Prediction with Bayesian Network

A key quality criteria of a wireless network is network service reliability. In fifth generation (5G) networks, this will have more significance because of strict service performance requirements. Determining network service reliability is a challenging task due to the growing complexity of modern wireless networks. The reliability of a network service can be modeled as a random variable, which depends on a number of other random variables such as throughput, latency, and mobility.For N random variables, the number of parameters required to model the joint probability distribution is exponential in N. In this work, we present a wireless service model for reliability computation, and we use Bayesian network 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.