Research on 5G Signal Processing System Based on Computer Intelligent Machine Learning Algorithm

The data transmission opportunities cannot be fully utilized in 5G multi-user applications due to differences on channel conditions, this project intends to study an improved k-means machine learning method. Then the optimal solution method based on the function between angles is proposed to make the selection of Angle parameters simple. The interface is optimized with high performance FPGA, high bandwidth and high sampling rate AD/DA. The test results show that 5Gbps fiber optic data transmission is feasible. The algorithm can intelligently select user devices for scheduling among different user devices of fairness.