An analytical model for performance evaluation of parallel interference cancellers in CDMA systems

In multistage parallel interference cancellation, the tentative decisions f or different users at each stage are mutually correlated, and they are also correlated with Gaussian noise. By taking the correlations into considerat ion and employing Price's theorem, an analytical model is proposed to refin e the variance evaluation of the final decision variable. It is shown that the refined variance is very close to that obtained by simulation and can i mprove the accuracy in bit error rate evaluation.