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A Novel Peak-to-Average Power Ratio Reduction for 5G Advanced Waveforms

Rajneesh Pareek1, Karthikeyan Rajagopal2, Himanshu Sharma1, Nidhi Gour1, Arun Kumar3, Sami Althahabi4, Haya Mesfer Alshahrani5, Mohamed Mousa6, Manar Ahmed Hamza7,*

1 Department of Computer Science & Engineering, JECRC University, Jaipur, 303905, India
2 Centre for Nonlinear Systems, Chennai Institute of Technology, Chennai, India
3 Department of Electronics and Communication, JECRC University, Jaipur, 303905, India
4 Department of Computer Science, College of Science & Art at Mahayil, King Khalid University, Abha, Saudi Arabia
5 Department of Information Systems, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, Riyadh, 11671, Saudi Arabia
6 Electrical Engineering Department, Faculty of Engineering and Technology, Future University in Egypt, New Cairo, 11845, Egypt
7 Department of Computer and Self Development, Preparatory Year Deanship, Prince Sattam bin Abdulaziz University, AlKharj, Saudi Arabia

* Corresponding Author: Manar Ahmed Hamza. Email: email

Computers, Materials & Continua 2022, 73(1), 1637-1648. https://doi.org/10.32604/cmc.2022.029563

Abstract

Multi and single carrier waveforms are utilized in cellular systems for high-speed data transmission. In The Fifth Generation (5G) system, several waveform techniques based on multi carrier waveforms are proposed. However, the Peak to Average Power Ratio (PAPR) is seen as one of the significant concerns in advanced waveforms as it degrades the efficiency of the framework. The proposed article documents the study, progress, and implementation of PAPR reduction algorithms for the 5G radio framework. We compare the PAPR algorithm performance for advanced and conventional waveforms. The simulation results reveal that the advanced Partial Transmission Sequence (PTS) and Selective Mapping (SLM) methods enhanced the throughput and gain of the 5G waveforms. Furthermore, we have also analyzed the performance of Orthogonal Time Frequency Space Modulation (OTFSM) based on a single carrier system and found that PAPR is significantly low and is best suited to fading environments. It is seen that the conventional algorithms lower the PAPR but increase the complexity. The proposed PTS and SLM have shown good performance with low computational complexity.

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APA Style
Pareek, R., Rajagopal, K., Sharma, H., Gour, N., Kumar, A. et al. (2022). A novel peak-to-average power ratio reduction for 5G advanced waveforms. Computers, Materials & Continua, 73(1), 1637-1648. https://doi.org/10.32604/cmc.2022.029563
Vancouver Style
Pareek R, Rajagopal K, Sharma H, Gour N, Kumar A, Althahabi S, et al. A novel peak-to-average power ratio reduction for 5G advanced waveforms. Comput Mater Contin. 2022;73(1):1637-1648 https://doi.org/10.32604/cmc.2022.029563
IEEE Style
R. Pareek et al., "A Novel Peak-to-Average Power Ratio Reduction for 5G Advanced Waveforms," Comput. Mater. Contin., vol. 73, no. 1, pp. 1637-1648. 2022. https://doi.org/10.32604/cmc.2022.029563



cc 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.
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