CCDF Reduction Using SLM Method for PAPR Mitigation

This graduation project implements the Selected Mapping (SLM) method to reduce the Peak-to-Average Power Ratio (PAPR) with Complementary Cumulative Distribution Function (CCDF) analysis. The core implementation involves calling the SLM function, which generates multiple candidate signals by applying different phase rotation sequences to the original OFDM signal and selects the one with minimum PAPR. The source code provides a practical framework for understanding SLM methodology, featuring key components such as phase sequence generation, candidate signal creation, and PAPR calculation algorithms. The implementation demonstrates how random phase rotations applied to subcarriers can effectively reduce peak power while maintaining signal integrity. This valuable source code serves as an excellent foundation for future researchers to comprehend SLM techniques and apply them to similar wireless communication challenges. The modular design allows for straightforward improvements in performance and efficiency through optimization of phase sequence selection algorithms or integration with other PAPR reduction techniques. This work opens up further exploration opportunities in OFDM system optimization while enhancing understanding of PAPR issues in modern wireless communication systems.