摘要：The advent of 5G technology has brought ease to many sectors of society and lifestyle. 5G technology has also made significant contributions to education, with a significant positive influence on physical education, especially for online learning. This study examined the online basketball learning system based on the 5G mobile communication technology as well as traditional face-to-face teaching and online learning and analyzed the students’ performance using different evaluation techniques. The network latency is minimized by detecting and correcting the main energy-consuming activities of the 5G network to deliver effective online training to students utilizing 5G basketball teaching (5G_BBT). The features of 5G network nodes and channel characteristics are used to build a comprehensive model of basketball training. The information that could be sent to the user protocol is obtained from the teaching database, and the cluster formation is processed using crossover swarm optimization based on passive clustering. The maximum-likelihood naïve Bayes function is employed to compute the transmission of basketball data transmission, and the border gateway algorithm is used to calculate the optimum cluster path for transmitting the training material, based on distance and residual energy constraints. The model is evaluated in terms of latency energy efficiency and speed to prove the effectiveness of the proposed 5G networking scheme. The proposed algorithm achieved a high network speed of 98%, data transfer efficiency of 90%, and time complexity of 32%, respectively. The 5G-driven basketball training approach will provide students with objective, fair, and diversified learning and adaptive learning services to promote the overall development of students.
