Anovel Algorithm for Efficient Selective Mapping PAPR Reduction Technique in OFDM Systems

Orthogonal Frequency Division Multiplexing (OFDM) is a widely used modulation technique in modern wireless communication systems due to its robustness against multipath fading and high spectral efficiency. However, one of its major drawbacks is the high Peak-to-Average Power Ratio (PAPR), which leads to nonlinear distortion in high-power amplifiers (HPAs). Selective Mapping (SLM) is a promising PAPR reduction technique, but its high computational complexity remains a challenge. This paper proposes an ANOVEL (Adaptive Novel Selective Mapping) algorithm to enhance the efficiency of SLM by intelligently selecting phase sequences and reducing computational overhead. Simulation results demonstrate that the proposed ANOVEL algorithm achieves significant PAPR reduction with lower computational complexity compared to conventional SLM.