Meta Distributions–Part 1: Definition and Examples

摘要: Meta distributions (MDs) have emerged as a powerful tool in the analysis of wireless networks. Compared to standard distributions, they enable clean separation different sources randomness, resulting sharper, more refined results. In particular, capture disparity performances individual links or users. this first part two-letter series, we start from principles and give formal definition MDs present several simple yet illustrative examples. Part 2 [1] explores properties MD depth offers multiple interpretations applications.