Abnormal diagnosis method of wireless communication network signal based on big data analysis technology
Due to the poor application effect of the traditional method in the abnormal diagnosis of wireless communication network signal,the missed diagnosis rate is high,and the diagnosis accuracy is low,which cannot achieve the expected diagnosis effect.Therefore,the abnormal di-agnosis method of wireless communication network signal based on big data analysis technology is proposed.The signal collector is used to capture the network signal,normalize and standardize the network signal data,and the big data analysis technology is used to extract the network signal features,and identify and diagnose the network abnormal state according to the signal character-istics,so as to complete the abnormal diagnosis of the wireless communication network signal based on the big data analysis technology.The experiment proves that the missed diagnosis rate of the design method is less than 1％,and the diagnosis accuracy is more than 99％,which pro-vides a reference for the abnormal diagnosis of wireless communication network signals.
big data analysis technologywireless communication networksignal abnormalitynormalizationstandardization
NETL
NSTL
万方数据
