【Purpose/significance】 As the development of 5G communication technology of China enters the fast lane, there will be

more technology convergence within it. It is of great significance to predict the trend of technology convergence in advance for policy layout and enterprise decision making.【Method/process】 Based on the DySAT model, this paper constructs temporal dynamic technol⁃ogy convergence prediction framework by considering the information of time dimension and predict technology convergence in 5G communication field of China.【Result/conclusion】 The temporal dynamic technology convergence prediction framework based on the DySAT model can improve the performance of technology convergence prediction in both long-term and short-term. The prediction re⁃sults show that the technology convergence in 5G communication field mainly reflect in intelligent transportation, intelligent health⁃care, and intelligent education.【Innovation/limitation】 Extracting and aggregating structural features from the networks in different time periods, using previous networks for technical convergence prediction can overcome the deficiency of not considering the evolu⁃tion process of the network in the previous research.