Open Access

ARTICLE

An Efficient Genetic Hybrid PAPR Technique for 5G Waveforms

Arun Kumar¹, Mahmoud A. Albreem², Mohammed H. Alsharif³, Abu Jahid⁴, Peerapong Uthansakul^5,*, Jamel Nebhen⁶
1 Department of Electronics and Communication Engineering, JECRC University, Jaipur, 303905, India
2 Department of Electronics and Communications Engineering, A’Sharqiyah University, Ibra, 400, Oman
3 Department of Electrical Engineering, College of Electronics and Information Engineering, Sejong University, Gwangjin-gu, Seoul, 05006, Korea
4 Department of Electrical & Computer Engineering, University of Ottawa, Ottawa, ON K1N 6N5, Canada
5 School of Telecommunication Engineering, Suranaree University of Technology, Nakhon Ratchasima, Thailand
6 College of Computer Engineering and Sciences, Prince Sattam bin Abdulaziz University, Alkharj, 11942, Saudi Arabia
* Corresponding Author: Peerapong Uthansakul. Email:

Computers, Materials & Continua 2021, 67(3), 3283-3292. https://doi.org/10.32604/cmc.2021.015470

Received 23 November 2020; Accepted 11 January 2021; Issue published 01 March 2021

Abstract

Non-orthogonal multiple access (NOMA) is a strong contender multicarrier waveform technique for the fifth generation (5G) communication system. The high peak-to-average power ratio (PAPR) is a serious concern in designing the NOMA waveform. However, the arrangement of NOMA is different from the orthogonal frequency division multiplexing. Thus, traditional reduction methods cannot be applied to NOMA. A partial transmission sequence (PTS) is commonly utilized to minimize the PAPR of the transmitting NOMA symbol. The choice phase aspect in the PTS is the only non-linear optimization obstacle that creates a huge computational complication due to the respective non-carrying sub-blocks in the unitary NOMA symbol. In this study, an efficient phase factor is proposed by presenting a novel bacterial foraging optimization algorithm (BFOA) for PTS (BFOA-PTS). The PAPR minimization is accomplished in a two-stage process. In the initial stage, PTS is applied to the NOMA signal, resulting in the partition of the NOMA signal into an act of sub-blocks. In the second stage, the best phase factor is generated using BFOA. The performance of the proposed BFOA-PTS is thoroughly investigated and compared to the traditional PTS. The simulation outcomes reveal that the BFOA-PTS efficiently optimizes the PAPR performance with inconsequential complexity. The proposed method can significantly offer a gain of 4.1 dB and low complexity compared with the traditional OFDM.

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Keywords

Wireless networks; 5G; non-orthogonal multiple access; peak to average power ratio; partial transmission sequence; bacterial foraging optimization algorithm

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