Open Access
ARTICLE
A Novel Peak-to-Average Power Ratio Reduction for 5G Advanced Waveforms
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:
Computers, Materials & Continua 2022, 73(1), 1637-1648. https://doi.org/10.32604/cmc.2022.029563
Received 06 March 2022; Accepted 12 April 2022; Issue published 18 May 2022
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.Keywords
Cite This Article
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.