@Article{iasc.2022.025655,
AUTHOR = {Himanshu Sharma, Nidhi Gour, Sumit Chakravarty, Fahad Alraddady, Mehedi Masud, Rajneesh Pareek, Arun Kumar},
TITLE = {Performance Analysis of PTS PAPR Reduction Method for NOMA Waveform},
JOURNAL = {Intelligent Automation \& Soft Computing},
VOLUME = {34},
YEAR = {2022},
NUMBER = {2},
PAGES = {1367--1375},
URL = {http://www.techscience.com/iasc/v34n2/47650},
ISSN = {2326-005X},
ABSTRACT = {Cellular systems utilize single and multicarrier waveforms for high-speed data transmission. The Fifth-Generation (5G) system proposes several techniques based on multicarrier waveforms. However, the Peak to Average Power Ratio (PAPR) is one of the significant concerns in advanced waveforms as it degrades the framework's efficiency. Non Orthogonal Multiple Access (NOMA) can provide massive connectivity, which is the crucial requirement of the Internet of Things (IoT). The 3<sup>rd</sup> generation tested NOMA applications in downlink and uplink transmission. However, NOMA uplink transmission in the power domain has performance degradation and is not considered a possible technique in 3<sup>rd</sup> generation power projects (3GPP). Presently, NOMA is not just a concept but has been introduced as a standard method in various transmission schemes. NOMA suffers from a high peak to average power ratio (PAPR), which forces the power amplifier (PA) to shift into a nonlinear region. The high value of PAPR leads the power amplifier of the multicarrier technique into a nonlinear region. As the performance of the power amplifier degrades, the overall system performance goes down. In this work, we suggest different methods to overcome the issue of PAPR in multicarrier techniques such as Selective Mapping (SLM) and Partial Transmit Sequence (PTS). The simulation results reveal that the performance of the proposed PTS is better than that of the conventional SLM and PTS.},
DOI = {10.32604/iasc.2022.025655}
}