PTS-PAPR Reduction Technique for 5G Advanced Waveforms Using BFO Algorithm

Non-orthogonal multiple access (NOMA) will play an imperative part in advanced 5G radio arrangement, owing to its numerous benefits such as improved spectrum adeptness, fast data rate, truncated leakage, and, so on. So far, NOMA undergoes from peak average power ratio (PAPR) problem, which shrinks the throughput of scheme. In this article, we propose a hybrid method, centered on combination Partial transmission sequence (PTS), Selective mapping (SLM), and bacteria foraging optimization (BFO), known PTS-BFO SLM-PTS. PTS SLM are utilized at sender side divide into several sub-blocks. An optimal phase factor is achieved by BFA combined with sub-block, where low value obtained. Further, estimate bit error rate (BER) PAPR technique. The simulation outputs reveal that outperforms traditional minimization approaches moderates complexity system. It concluded proposed algorithm not explored for waveform.