RIS – Based 6G Communication With PAPR Reduction For Enhanced Multi- User Communication

Abstract

Orthogonal Frequency Division Multiplexing (OFDM) is widely used in modern wireless communication systems due to its high spectral efficiency and robustness against multipath fading. However, OFDM systems suffer from a major drawback known as high Peak-to-Average Power Ratio (PAPR), which causes power amplifier inefficiency and signal distortion. This problem becomes more significant in multi-user communication environments where multiple data streams share the same transmission resources. This work proposes a Reconfigurable Intelligent Surface (RIS)-assisted OFDM framework integrated with advanced PAPR reduction techniques to enhance system performance for future 6G wireless networks. A comparative analysis of Partial Transmit Sequence (PTS), Particle Swarm Optimization-based PTS (PSO-PTS), and Differential Evolution-based PTS (DE-PTS) is carried out using MATLAB simulation. Among these techniques, DE- PTS is selected for its superior optimization capability in reducing PAPR. Simulation results demonstrate that the proposed system achieves significant PAPR reduction, improved spectral efficiency, and reduced Bit Error Rate (BER). The integration of RIS and DE-PTS enhances signal coverage, reliability, and energy efficiency, making the system suitable for next-generation 6G communication applications.