Abstract

We consider the use of the Fisher-Snedecor ${\mathcal {F}}$ distribution, which is defined as the ratio of two chi-squared variates, to model composite fading channels. In this context, the root-mean-square power of a Nakagami- $m$ signal is assumed to be subject to variations induced by an inverse Nakagami- $m$ random variable. Comparisons with physical channel data demonstrate that the proposed composite fading model provides as good, and in most cases better, fit to the data compared to the generalized- $K$ composite fading model. Motivated by this result, simple novel expressions are derived for the key statistical metrics and performance measures of interest.

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