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Meta distributions (MDs) are refined performance metrics in wireless networksmodeled using point processes. While there is no known method to directlycalculate MDs, the moments of the underlying conditional distributions (giventhe point process) can often be expressed in exact analytical form. The problemof finding the MD given the moments has several solutions, but the standardapproaches are inefficient and sensitive to the choices of a number ofparameters. Here we propose and explore the use of a method based on binomialmixtures, which has several key advantages over other methods, since it isbased on a simple linear transform of the moments.

Efficient Calculation of Meta Distributions and the Performance of User Percentiles