Indoor Distribution Antenna Outward Emitting Fault Prediction Based on Machine Learning of KNIME Workflow
Due to the difficulty in quickly and accurately locating indoor distribution antenna outward emitting fault,it poses serious chal-lenges to user experience and network operation and maintenance.Based on machine learning prediction model of KNIME workflow,a new method is proposed,which can timely detect and solve indoor distribution antenna outward emitting fault in advance,achieving a transition from"post discovery"to"pre prediction"and from"comprehensive investigation"to"precise po-sitioning",ensuring the comprehensive and accurate positioning of indoor distribution antenna outward emitting fault.