MMSE multiuser detector performances improvement with convolutional and turbo coding

Due to the rapid evolution of mobile communication systems that uses Code Division Multiple Access (CDMA), the importance of multiuser detection increased significantly. This paper aims to illustrate the performances of synchronous Minimum Mean-Square Error (MMSE) multiuser detectors in presence of convolutional coding/decoding and turbo coding and decoding algorithms, in perfect and imperfect reception conditions. Extensive Monte Carlo simulations have been performed to evaluate the system performances in different conditions. The results are evaluated in terms of Bit Error Rate (BER) for different Signal-to-Noise Ratios (SNR's) and compared one another. From those results several interesting conclusions are highlighted.