Coverage Performance Evaluation for Cellular Networks With Correlated Blockage Model

Abstract

Analyzing correlation effects caused by the realistic geometry of blockage is crucial to evaluate network performance in wireless networks. However, the correlation generally complicates analysis procedure even makes it intractable. Based on the cascade blockage model, this paper proposes a functional framework for performance evaluation from a vision of typical user. We first derive a functional equation to obtain the association probability that can be solved efficiently by an association iterative algorithm. Then, they are leveraged to design a coverage iterative algorithm to analyze the coverage probability in the form of joint distribution. This analytical framework gains insight into the effect of blockage correlation and penetration loss on network performance. In addition, it is applied to inter-cell interference coordination (ICIC) context to demonstrate its feasibility and flexibility.