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Table 1 Different interference models

From: Impulsive noise modeling and robust receiver design

Where does the model come from? What are the main results? Examples, comments, simplification
Work from Middleton [32, 33] Distribution expressed as infinite series Simplification to the most significant terms: \(\epsilon\)-contaminated [115, 116], Bernoulli–Gaussian [39, 40, 117, 118], Gaussian mixtures [37, 54], Markov [41, 42]
Empirical approach based on fitting of data and improvement of the receiver Many different distributions Laplace [50], Cauchy [17], Cauchy-Gaussian mixture [55], Generalized Gaussian [51,52,53], Normal Inverse Gaussian [23]
Based on stochastic geometry [62,63,64, 119] Distribution expressed as infinite series If no near-field effect, falls in the attraction domain of an \(\alpha\)-stable distribution [17, 65, 74]
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