Vol.67, No.3, 2021, pp.3283-3292, doi:10.32604/cmc.2021.015470
OPEN ACCESS
ARTICLE
An Efficient Genetic Hybrid PAPR Technique for 5G Waveforms
  • Arun Kumar1, Mahmoud A. Albreem2, Mohammed H. Alsharif3, Abu Jahid4, Peerapong Uthansakul5,*, 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:
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.
Keywords
Wireless networks; 5G; non-orthogonal multiple access; peak to average power ratio; partial transmission sequence; bacterial foraging optimization algorithm
Cite This Article
A. Kumar, M. A. Albreem, M. H. Alsharif, A. Jahid, P. Uthansakul et al., "An efficient genetic hybrid papr technique for 5g waveforms," Computers, Materials & Continua, vol. 67, no.3, pp. 3283–3292, 2021.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.