Stress-Triggered Slice Switching for QoE Enhancement in Beyond 5G Networks

In 5G networks, users require high-quality services for a wide range of applications. However, conventional QoS control mechanisms do not reflect the quality actually experienced by end users in network management. This study proposes a stress-aware networking system for Beyond 5G environment utilizing user’s stress level data collected from wearable devices. This paper evaluates the effectiveness of the proposed system using free5GC. The evaluation demonstrated that performance variations among network slices influence video quality. These results indicate that dynamic network slice switching based on user stress levels has the potential to achieve QoE enhancement for users.