PREDICTION AND ROOT CAUSE RECOMMENDATIONS OF SERVICE ACCESS QUALITY OF EXPERIENCE ISSUES IN COMMUNICATION NETWORKS

摘要

Embodiments of the invention utilize advanced statistical data analytics to predict and provide recommendations for root-cause analysis for service access QoE issues in networks, such as 3G/4G networks. Using FCAPS data as predictor variables, embodiments are configured to set up the problem as a predictive regression or classification problem to estimate service access QoE related indicators. Some embodiments perform training and tuning of various non-linear statistical modelling algorithms, based for example on tree and ensemble methods, using network deregistration information from RAN logs.