Meta Distribution of Downlink SIR for Binomial Point Processes

The meta distribution (MD) of the signal to interference ratio (SIR) extends stochastic geometry analysis from spatial averages reveals find-grained information about network performance. There have been several efforts establish MD framework for Poisson point process (PPP) and other ergodic processes. However, finite processes is overlooked. In this letter, we develop binomial (BPP), which practical cases with a priori knowledge number devices as well their geographical existence. For such models, define location-dependent likelihood receiver achieve required SIR probability more than predefined threshold. This letter also BPP find PPP verifies convergence newly derived PPP's MD. obtained analytical derivations are validated using Monte-Carlo simulations.