Systematic Study on Hardware Optimization of 5G Communication

Systematic study on hardware optimization of 5G communication is conducted in this paper. With the continuous development of the current era, 5G communication has attracted much attention and has become an important carrier of the future communication industry. Therefore, before launching the specific operations, the most critical thing is to improve the application research level of 5G communication technology as much as possible, and to comprehensively deal with the problems presented in the previous stage in the research process. 5G network architecture realizes the transformation from mobile cellular to general distributed and heterogeneous communication methods. This paper considers the deep learning as the basis for the analysis of efficient modelling. The model is designed on FPGA and the optimization is combined with neural networks. The experiment has shown the 5G communication is enhanced with the combination of computational intelligence.