Open Access

ARTICLE

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

Arun Kumar¹, Manoj Gupta¹, Dac-Nhuong Le^2,3,*, Ayman A. Aly⁴

1 Department of Electronics and Communication Engineering, JECRC University, Jaipur 303905, India
2 Institute of Research and Development, Duy Tan University, Danang 550000, Vietnam
3 Faculty of Information Technology, Duy Tan University, Danang 550000, Vietnam
4 Department of Mechanical Engineering, College of Engineering, Taif University, P. O. Box 11099, Taif 21944, Saudi Arabia

* Corresponding Author: Dac-Nhuong Le. Email:

(This article belongs to this Special Issue: Recent Advances in Intelligent Systems and Communication)

Intelligent Automation & Soft Computing 2021, 27(3), 713-722. https://doi.org/10.32604/iasc.2021.015793

Received 01 December 2020; Accepted 02 January 2021; Issue published 01 March 2021

Abstract

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

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Citations