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PREDICTION AND ROOT CAUSE RECOMMENDATIONS OF SERVICE ACCESS QUALITY OF EXPERIENCE ISSUES IN COMMUNICATION NETWORKS
PREDICTION AND ROOT CAUSE RECOMMENDATIONS OF SERVICE ACCESS QUALITY OF EXPERIENCE ISSUES IN COMMUNICATION NETWORKS
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机译:通信网络中经验访问服务质量的预测和根本原因建议
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摘要
Embodiments of the present invention utilize advanced statistical data analytics to predict and provide recommendations for root-cause analysis of service access QoE issues in networks, e.g., 3G / 4G networks. Using FCAPS data as predictor variables, embodiments are configured to set up a problem as a predicted regression or classification problem to estimate the service access QoE related indicators. Some embodiments perform training and tuning of various non-linear statistical modeling algorithms, using network de-registration information from RAN logs, e.g., based on tree and ensemble methods.
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