Performance Evaluation of MC-CDMA Systems with EGC Diversity over Correlated Selective Fading Channels

A new closed-form formula of the joint probability density function (joint probability density function) of the EGC (equal gain combining) diversity with arbitrary correlation coefficients in terms of the generalized Laguerre polynomial is adopted to analyze the error probability for the performance of a MC-CDMA (multi-carrier coded-division multiple-access) system in this investigation. For the shake of avoiding the difficulty of explicitly obtaining the pdf, for example, determining the CF (characteristic functions), of the SNR (signal-to-noise ratio) at the EGC output. The results from the numerical and the simulation work with some of the assumed parameters of correlated Nakagami-m pdf with different correlation coefficients are conduct for validation purpose. The results obviously prove that the superior system performance is obtained for the MC-CDMA system, which is in frequency selective environments with branches correlation, when properly consider and get rid of the impact of branches correlation of fading channels.