Mutual Information Evolution Based Performance Analysis in IDMA System

In this paper we propose a novel algorithm to predict the performance of interleaver division multiple access (IDMA) systems, which is called mutual information evolution algorithm (MIEA). The proposed MIEA is a semi-analytical technique, which is based on but a little different from the traditional extrinsic information transfer (EXIT) chart especially when used for the successive interference cancellation (SIC) structure in IDMA systems. Based on MIEA, not only the convergence behavior of iteration structures in IDMA systems can be analyzed, but also the trade-off between code-rate (CR) and spreading-factor (SF) can be obtained. Moreover, the MIEA can be used to search the optimal codes in IDMA. Simulation results are also presented to confirm our analysis.