Modeling the effect of interferences among N collocated heterogeneous wireless networks

With the advent of wireless networks, the usage of mobile devices has been rapidly exploded due to their cable-free convenience. The ubiquity and dense population of mobile devices have led several heterogeneous wireless networks to be redundantly deployed as an underlying infrastructure in a given area, allowing mobile users to choose their preferred wireless networks. These co-placed different networks, however, tend to interfere with each other and therefore suffer from severe performance degradation. To estimate this deterioration, this paper proposes an analytic performance model which precisely evaluates both the inter-network interference and intra-network collision effect on a victim network when involved networks run the same backoff algorithm. Differently from a legacy hidden station model, our model requires a set of Markov chains to separately abstract behaviors of both interfered and interfering networks. Simulation validates that our proposed model predicts the interference impairments more accurately than the hidden station model and even the conventional interference model that ignores the backoff behavior in wireless networks.