Spatio-Temporal Interference Correlation: Influence of Deployment Patterns and Traffic Dynamics

This paper investigates the dynamics of spatio-temporal interference correlations in wireless networks, focusing on the interplay between node spatial distribution and interference patterns. The study employs analytical frameworks such as the Matérn hard-core point process (MHCP) and clustering models, revealing that spatial clustering typically enhances positive interference correlation, while spatial rejection mechanisms inherent to MHCP induce negative correlation. Notably, the analysis extends to various temporal traffic models, highlighting distinct interference correlation behaviors between temporally correlated and independent traffic scenarios. The novel contribution of this work lies in deriving advanced mathematical formulations to quantify the interference correlation coefficient, which uncover the non-monotonic relationship between correlation and network parameters like node density and burst traffic duration. These insights provide a deeper understanding of interference dynamics, offering valuable guidelines for optimizing network performance and reliability, particularly in the design of next-generation wireless systems.