Statistical Characterization of the Multicluster Two-Wave Fading Model

We present and characterize the Multicluster Two-Wave (MTW) fading model, a novel generalized multipath wireless fading model which includes the well-known TWDP and $\kappa-\mu$ models as particular cases. The MTW model consists of a set of clusters of waves, modeled as complex Gaussian random variables, where two specular (dominant) components are present in one of the clusters, typically the first one received. The chief probability functions of the MTW fading model, including the probability density function (PDF), the cumulative distribution function (CDF), and the generalized moment-generating function (MGF) are derived, being the latter given in closed-form, which permits the derivation of multiple performance metric expressions also in closed-form. As an example of application, we investigate the physical layer security in a scenario in which two legitimate peers wish to communicate in the presence of an undesired eavesdropper, and a closed-form expression is given for the secure transmission probability when the wiretap channel undergoes MTW fading.