Fares S. Almehmadi

A unified framework for performance evaluation over generalized fading channels

In this paper, we present a unified framework to analyze the performance of the average bit error probability (BEP) and the outage probability over generalized fading channels. Specifically, we assume that the probability density function (PDF) of the instantaneous signal-to-noise ratio

Wireless energy harvesting in cooperative decode-and-forward relaying networks over mixed generalized η-μ and κ-μ fading channels

\zeta

How significant is the assumption of the uniform channel phase distribution on the performance of spatial multiplexing MIMO system

ζ is given by the product of: power function, exponential function, and the modified Bessel function of the first kind, i.e.,

Performance evaluation of cognitive underlay multi-hop networks with interference constraint in Rayleigh fading channels perturbed by non-Gaussian noise

f_{\zeta }(\zeta )=\zeta ^{\lambda -1}exp\left( -a\zeta ^{\beta }\right) I_{v}\left( b\zeta ^{\beta }\right)

Performance analysis of L-branch maximal ratio combining over generalised η − μ fading channels with imperfect channel estimation

fζ(ζ)=ζλ-1exp-aζβIvbζβ. Based on this PDF, we obtain a novel closed-form expression for the average BEP over such channels perturbed by an additive white generalized Gaussian noise (AWGGN). Note that other well-known noise types can be deduced from the AWGGN as special cases such as Gaussian noise, Laplacian noise, and impulsive noise. Furthermore, we obtain a novel closed-form expression for the outage probability. As an example of such channels, and without loss of generality, we analyze the performance of the average BEP and the outage probability over the