In this paper, we present a unified approach to analyze the average bit error probability (BEP) in generalized fading channels subject to additive generalized Gaussian noise (AGGN). Specifically, we assume that the fading channel is such that the received signal envelope, X, is a random variable that has the probability density function (pdf) given by the product of power and exponential functions with the modified Bessel function of the first kind, i.e., the pdf of the received envelop X follows the form fx (x) = xλ−1exp (−axβ)Iv (bxβ). As an example of such channels, and without loss of generality, we analyze the performance of the average BEP over the η−μ fading channels subject to AGGN. Analytical results accompanied with Monte-Carlo simulations are provided to validate our analysis.
['Osamah S. Badarneh', 'Michel Kadoch', 'Ibrahem E. Atawi']
A unified approach to analyze the average bit error probability in generalized fading channels with additive generalized Gaussian noise