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2019•2019 8th Asia-Pacific Conference on Antennas and Propagation (APCAP)Open access

The Inverse Gamma Distribution: A New Shadowing Model

Seong Ki Yoo, Simon L. Cotton, Lei Zhang, Paschalis C. Sofotasios

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Abstract

In this paper, we provide empirical evidence that the inverse gamma distribution is an excellent alternative for the lognormal and gamma distributions which are often used to model shadowing. To illustrate this, we have used field measurements obtained for wearable communication channels. The goodness-of-fit is compared with two other distributions, namely lognormal and gamma. It has been found that the inverse gamma distribution is chosen as the best model in two out of three cases considered in this study.

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What this paper is about

In this paper, we provide empirical evidence that the inverse gamma distribution is an excellent alternative for the lognormal and gamma distributions which are often used to model shadowing. To illustrate this, we have used field measurements obtained for wearable communication channels. The goodness-of-fit is compared with two other distributions, namely lognormal and gamma. It has been found that the inverse gamma distribution is chosen as the best model in two out of three cases considered in this study.

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Available abstract

In this paper, we provide empirical evidence that the inverse gamma distribution is an excellent alternative for the lognormal and gamma distributions which are often used to model shadowing. To illustrate this, we have used field measurements obtained for wearable communication channels. The goodness-of-fit is compared with two other distributions, namely lognormal and gamma. It has been found that the inverse gamma distribution is chosen as the best model in two out of three cases considered in this study.

Key concepts: Log-normal distribution, Gamma distribution, Inverse-gamma distribution, Generalized gamma distribution, Inverse, Inverse distribution, Goodness of fit, Inverse Gaussian distribution

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