Partial Transmit Sequence Chaotic Sand Cat Swarm Optimization Based Phase Optimizer for Peak-to-Average Power Ratio Reduction

Abstract

Orthogonal Frequency Division Multiplexing (OFDM) is the most significant transmission techniques that permits feasible modulation and demodulation. OFDM system is majorly affected by high Peak-to-Average Power Ratio (PAPR) values. To reduce this issue, this research proposed a Partial Transmit Sequence -Chaotic Sand Cat Swarm Optimization (PTS-CSCSO) technique of Cyclic Prefix-OFDM (CP-OFDM). To encode and decode the signal in the CP-OFDM system, the Space Time Block Coding (STBC) technique is utilized and for modulation and demodulation, the Quadrate Amplitude Modulation (QAM-16) is utilized. The PTS technique is utilized for PAPR reduction, in that phase factor is optimized by using the proposed PTS-CSCSO algorithm. The Additive White Gaussian Noise (AWGN) channel is utilized, that transmit the signal from transmitter to receiver. The performance of the proposed algorithm is evaluated with performance metrics of Bit Error Rate (BER), Symbol Error Rate (SER), and Complementary Cumulative Distribution Function (CCDF). The proposed algorithm attained a minimum BER of 10-8 which is superior to other existing methods like Prime Learning Ant Lion Optimization (PL-ALO) and Phase Optimizer-assisted Partial Transmit Sequence (PO-PTS).