Operators sharing 2.6 GHz band in 4G/5G network. The problem of intra-frequency interference appears with 5G base station entering the network. This paper proposed a system for intelligent prediction of intra-frequency interference. This system could predict the risk of intra-frequency interference before frequency point adjustment

so as to avoid the risk in time. Research analysis and test verification intuitively indicate that the result of the system can identify the intra-frequency interference and quickly determine the intra-frequency interference risk cells and improve optimization effi ciency and ensure user perception.