Design of communication transmission prediction model based on data mining algorithm

Abstract

Transmission interference prediction is becoming more and more important in mobile communication networks, and DM(data mining) has become an important means to realize transmission interference prediction in mobile communication networks in the future. In order to improve the success rate of mobile communication information transmission, a communication transmission prediction model based on DM algorithm is proposed. In this paper, DM technology is used to mine transmission interference data. The obtained mining sample data is stored in a distributed data storage system. Then, the DM process is studied, the dynamic termination threshold is put forward, and the transmission interference prediction model is obtained by using parallel algorithm for DM. The results show that the average transmission delay increases after using controlled data transmission, because the probability of delayed transmission increases while the average probability of interference decreases. The average prediction accuracy of information transmission interference of mobile communication system in this model is 96.477%. It can be seen that this model reduces the prediction error of information transmission in mobile communication system and can improve the information transmission effect of mobile communication system, which has obvious advantages.