A study and practice of end-to-end quality of service analysis scheme for 5G services based on autonomous network
Conducting end-to-end analysis of 5G service quality is the focus of operators to improve 5G user percep-tion.Technical solutions such as rule engine,AI competency center,and intelligent scheduling were adopted to build a"fifth order closed-loop autonomous process"covering quality difference identification,quality difference defini-tion,closed-loop management,effect analysis,and model iteration related to 5G service quality analysis.The process can make up for the shortage of the traditional end-to-end analysis of service quality that highly relies on solidified ex-pert rules.According to this process,the end-to-end analysis scheme of 5G service quality of self-intelligent network was studied and practiced,achieving efficient autonomous collaboration and ensuring the perception of 5G service users.
end-to-end service qualityrule engineautonomous network