English Learning Strategies Supported by Wireless Communication Modules and Their Application in 5G

Abstract

In this study, a simplified strategy for the English assistance model was provided to overcome the limitations of current school English display settings and increase the scope of 5G innovation. This study uses a learning strategy based convolutional neural network (LS-CNN) to determine the execution of college English learning strategies. This article breaks traditional school English learning strategies by integrating 5G, which significantly improves classroom communication. In addition, this development approach may improve the standards of English performance in various methods, while strictly and purposefully adhering to the display guidance of “displaying substitute actors based on their skills”. The early findings of the review revealed that the proposed method focuses on the weaknesses of the standard English display model used in universities, while improving the mental abilities of substitute actors in various fields, including listening, talking, reading, and composing.