JoWUA

Abstract

The next generation of wireless mobile networks is 5G, which can be used to implement new approaches to providing interaction-based and real-time learning. This article presents a cross-layer optimization system that can improve the performance, reliability, and responsiveness of 5G-based learning systems, particularly for real-time, synchronous, multimedia-continuous, and low-latency philosophy course lectures. The architecture suggested combines the essential mechanics with the layers of the physical, MAC, network, and application, such as adaptive modulation, dynamic scheduling, optimized routing, and application-level quality of service adaptation. Using 5G properties such as ultra-reliable low-latency communication (URLLC), network slicing, and mobile edge computing, the framework dynamically adjusts system parameters to accommodate variable traffic and different user participation patterns. Experiments show significant improvements in end-to-end latency, jitter reduction, and session stability using simulation techniques compared to classical, uninterrupted, single-layer optimization techniques. The study highlights the benefits of cross-layer design for enabling reliable, real-time educational applications and its potential to transform the delivery of philosophy education in next-generation mobile learning ecosystems. The research offers technological knowledge that can be extrapolated to other interactive educational fields that demand high reliability and tight communication performance.