SINR Coverage Stability In 6G Networks: Assessing the Impact of Sample Points on Seamless Heterogeneous Integration

Abstract:

This study explores the impact of sample points on SINR based m coverage probability in 6G networks, considering the transformative landscape of mobile network architecture. SINR serves as a crucial metric for evaluating cellular network performance. It is commonly believed that increasing sample points enhances SINR coverage probability, particularly in the range of 2^6 to 2^10. Through advanced simulations in single tier and multitier scenarios, utilizing Poisson point process for node distribution, we rigorously assess SINR coverage probability in the domain of SINR < 1 using five sample points. Surprisingly, results show that increasing sample points beyond 2 has negligible effects on SINR based m coverage probability in both architectures. These findings challenge conventional wisdom, guiding network planners in resource allocation and trade offs to optimize 6G networks. Understanding the saturation point of SINR coverage is critical for unleashing 6G's transformative potential and facilitating global connectivity and innovation.

Keywords: coverage probability, signal interference noise ratio, 6G technology, unmanned aerial network, heterogenous network, satellite network