TY  - EJOU
AU  - Pareek, Rajneesh 
AU  - Rajagopal, Karthikeyan 
AU  - Sharma, Himanshu 
AU  - Gour, Nidhi 
AU  - Kumar, Arun 
AU  - Althahabi, Sami 
AU  - Alshahrani, Haya Mesfer 
AU  - Mousa, Mohamed 
AU  - Hamza, Manar Ahmed 

TI  - A Novel Peak-to-Average Power Ratio Reduction for 5G Advanced Waveforms
T2  - Computers, Materials \& Continua

PY  - 2022
VL  - 73
IS  - 1
SN  - 1546-2226

AB  - 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.
KW  - PAPR; 5G; OFDM; NOMA; OTFSM; PTS; SLM

DO  - 10.32604/cmc.2022.029563