Peak to Average Power Rate Reduction for MC-CDMA system based on ICSA

One of the main implementation disadvantages of a multicarrier communication system is the possibly high peak to average power ratio of the transmitted signals which cause the requirement of highly cost linear amplifiers with large dynamic range. One proposed solution is given by Haiming Wang [1] which is based on the algorithm of Hopfield Neural Network (HNN). In this paper, we applied the Immune Clonal Selection Algorithm (ICSA), which is derive from the antibody clonal selection theory, instead of HNN to the designing of the transmitter. The simulation results verify the practicability of ICSA approaches that the probability that PAPR exceeds 5.5 dB is about 1/10 of that of the HNN approach. In addition, we analyzed the effects of different parameters of ICSA on the performance of PAPR reduction, by which a optimized parameters are suggested for designing a effective optimizer with low cost.