Performance Improvement Technique for Multiuser Detection in DS-CDMA Systems Using Successive Interference Cancellation

Multiple access interference (MAI) limits the capacity of Direct sequence Code Division Multiple Access (DS-CDMA) systems. In CDMA systems MAI is considered as additive noise and matched filter bank is employed. Traditionally, multiuser detectors a code matched and a multiuser linear filter are used which increases the complexity of the system due to its nature of operation. Multiuser detection is an approach which uses both these filters for the optimization. However, the main drawback of the multiuser detection is one of the complexity so that suboptimal approaches are being sought. Much of the present research is aimed at finding an appropriate tradeoff between complexity and performance. These suboptimal techniques have linear and nonlinear algorithms. In this work, we introduce Successive Interference Cancellation (SIC) which is a nonlinear suboptimal method of MUD and is based upon successively subtracting off the strongest remaining signal. Further analysis is to be carried out and simulations to be done for better understanding of SIC.