Techniques and High-Efficiency PAPR Reduction Method for OFDM Systems

This document presents an in-depth investigation of various techniques and introduces a novel algorithm for reducing Peak-to-Average Power Ratio (PAPR) in Orthogonal Frequency Division Multiplexing (OFDM) systems. The research focuses on optimizing OFDM system performance through efficient PAPR mitigation, addressing a critical challenge in modern wireless communications. The study provides comprehensive analysis of existing PAPR reduction methods including clipping, companding, and selective mapping techniques, evaluating their computational complexity and implementation trade-offs. The proposed high-efficiency method employs advanced signal processing algorithms that can be implemented using MATLAB's Communications Toolbox, featuring optimized coding structures and reduced computational overhead. Key implementation aspects include: - Algorithm design using frequency-domain signal processing techniques - Simulation models built with MATLAB's OFDM modulator/demodulator functions - Performance evaluation through complementary cumulative distribution function (CCDF) analysis - Computational efficiency optimization using vectorized operations The document demonstrates through extensive simulations that the proposed method achieves significant PAPR reduction while maintaining signal integrity, offering improved spectral efficiency and system reliability. The technique shows particular promise for 5G and IoT applications where power efficiency and signal quality are paramount. Implementation code snippets and performance benchmarking results are provided to facilitate practical adoption in real-world communication systems.