Research on the Key Intelligent Optimization Technology of 5G Millimeter Wave Relay

Abstract

5G applications put forward higher and higher requirements for wireless communication technology. 5G Multi-User Multiple-Input Multiple-Output (MU-MIMO) millimeter wave communication can carry a larger number of data, which has become the key technology of 5G network millimeter wave communication. In this paper, by studying intelligent network state prediction of AI intelligent network management, we optimize the communication of millimeter-wave relay, and propose an intelligent prediction method of multi-modal fuzzy fusion network state. By using network data provided by a company in Xiamen, the simulation results show that the average prediction accuracy of the proposed method can reach 88.45%, which is 7 to 8 percent higher than the commonly used neural network and fuzzy neural network algorithms, and achieves the purpose of improving the transmission stability and efficiency of millimeter-wave relay.