A Real-Time Monitoring of Communication Protocols in 6G Mobile Network Consumer Electronics Applications Using Intelligent Surface and Internet of Things

This research proposes an innovative interference mitigation framework integrating reconfigurable intelligence surfaces (RISs) with dynamic channel assignment (DCA) to enhance spectral efficiency and reduce/mitigate interference in 6G networks. The study adopts a hybrid approach that combines RIS-assisted beamforming, NOMA power band multi-banding, and adaptive channel assignment techniques to improve signal quality and network reliability. A problem formulation with mathematical model is developed to characterize interference scenarios, incorporating RIS phase shift optimization and real-time dynamic channel assignment. The approach dynamically adjusts RIS phase configurations to prevent self-interference, interference between base stations (BSs), and interference between users within a cell. The DCA was designed to allocate the frequency and power consumption based on channel conditions, which leads to reducing the congestion and improving the spectral efficiency. The result proves that the effectiveness of RIS-assisted NOMA-based DCA, which is proposed. The results demonstrate a 27% increase in spectral efficiency, a 34% reduction in outage probability, and an 18% improvement in SINR compared to traditional static allocation methods. Furthermore, integrating RIS with NOMA achieves higher data rates and lower interference levels, ensuring stable communication links in high-density environments. The result indicates that the RIS-based interference technique can establish the next generation of wireless systems, which can be more adaptive, efficient, and flexible.