Peak to Average Power Ratio Reduction Using Companding Algorithm for NOMA Waveform

Abstract

Future wireless communication systems can accommodate huge connections and improve spectrum efficiency by using the approach based on non-orthogonal multiple access (NOMA). High peak-to-average power ratio (PAPR) levels can, however, negatively affect NOMA, resulting in decreased system performance and more complicated power amplifiers. This study suggests PAPR reduction in NOMA by utilizing companding methods for 512, 256, and 64 sub-carriers to address this problem. The high peak power of NOMA signals may be effectively compressed by using nonlinear companding techniques, such as μ-law and A-law companding, which reduces distortion and improves overall system dependability. Simulations are used to assess the effectiveness of the suggested companding methods, and the findings show a significant reduction in PAPR assuring an increased bit error rate (BER) effectiveness and transmission resilience in NOMA-based communication systems. The suggested method is contrasted with the conventional A-law (C-A-Law) and μ-law (C-μ-law).