Application Analysis of 5G Intelligent Communication Technologies in the Field of Sports Distance Education

Abstract China has entered a new era of fifth generation (5G)technology, college students are relatively quick to accept new things, and the traditional teaching mode cannot fully stimulate students’ interest in sports activities. Therefore, the 5G integrated teaching mode based on communication technology is an inevitable trend of sports distance education curriculum reform. Technologyand sports have been deeply intertwined for a long time. However, new opportunities are now rapidly expanding on the Internet, and the result is a huge data.This paper proposes a novel 5G framework for an efficient sports distance education. Initially, the sports dataset is preprocessed using normalization. The features are extracted using Principal Component Analysis (PCA). Then, feature selection process is done. Classification is done using Hierarchical Multi-scale Convolutional Neural Network (HM-CNN). The 5G network is initialized using Enhanced Transmission Control Protocol (E-TCP) for an efficient data transmission. The performance of the proposed system is improved by Elevated Ant Colony Optimization Algorithm (EACO). Using MATLAB simulation tool, we analyze and compare the performance of the proposed system with the existing methodologies. The results show that the experimental results of 5G integrated teaching reform based on communication technology show that the teaching reform experiment can effectively increase the number of college students’ sports population