The Equivalent-in-Distribution (EiD)-Based Approach: On the Analysis of Cellular Networks Using Stochastic Geometry
Abstract
In this Letter, the Equivalent-in-Distribution (EiD)-based approach to the analysis of cellular networks is introduced. It is based upon finding EiD representations of the aggregate other-cell interference of cellular networks, which lead to tractable and exact mathematical formulations of the Average Symbol Error Probability (ASEP) for arbitrary bi-dimensional modulations. As a byproduct, a new lemma is introduced, which provides a single-integral expression of the ASEP in terms of the Complementary Cumulative Distribution Function (CCDF) of the Signal-to-Interference-plus-Noise-Ratio (SINR).