Reducing PAPR with Low Complexity Filtered NOMA Using Novel Algorithm

Filtered Non-Orthogonal Multiple Access (F-NOMA) is a multi-carrier wave form and considered suitable contender for 5G radio. Peak to average power ratio (PAPR) regarded as major hurdle in the NOMA because it hampers efficiency of amplifier transmitter. In this study, novel selective mapping (SLM) algorithm used minimize PAPR NOMA. The conventional SLM increases intricacy structure, projected applied transmitter part F-NOMA. Furthermore, we evaluate performance on F-NOMA 16, 64, 256-Quadrature Amplitude Modulation (QAM) transmission methods. parameters such Bit Error Rate (BER), PAPR, spectral density (PSD), complexity are estimated compared with different patterns. simulation outcomes work reveal that optimal can be achieved by selecting sub-block (S) phase rotation elements (Ps). achieves 1 dB gain QAM transmissions its saving 70.07%; however, an increase modulation order.