A FEASIBLE APPROACH FOR ENHANCING THE OVERALL PERFORMANCE OF LOCALIZED SC-FDMA SYSTEMS

The single carrier frequency division multiple access (SC-FDMA) is one of the most promising 4G network systems. Controlling the peak-to-average power ratio (PAPR) is a major challenge in 4G LTE networks. The high PAPR on wireless communication systems leads to in-band distortion, out-of-band radiation, computation complexity, high bit error rate (BER), and low data rates. Researchers have proposed several techniques to minimize PAPR in wireless communication systems. The SC-FDMA has a better characteristic of low PAPR based on their single carrier design. To minimize the PAPR in localized SC-FDMA (LFDMA), which is a type of SC-FDMA, selective mapping (SLM) using modified binary crow search optimization (MBCSO) algorithm is proposed. The primary objective of this study is to reduce the PAPR on the LFDMA system with MBCSO algorithm-based SLM. The SLM technique is slightly complex, as it requires the transmission of side data that is commonly used for PAPR minimization. The MBCSO is utilized with the SLM for the enhanced selection of signals with minimum PAPR. The performance of the proposed method is observed by analyzing the complementary cumulative distribution function (CCDF) of the PAPR characteristics. The proposed method is compared with the two existing processes, namely, LFDMA and SLM-based LFDMA. The PAPR of the proposed method is lower than the two existing methods. The proposed technique offers a PAPR improvement of 5.8 dB for QPSK method, 5 dB improvement for 16-QAM method, and 5 dB improvement for 64- QAM method. The BER performance with respect to signal to noise (SNR) and throughput analysis with respect to SNR and signal-to-interference noise ratio (SINR) are also analyzed and the simulation outcomes demonstrate that the proposed method provides better performance than the traditional methods implemented for PAPR reduction.