Reducing PAPR with Low Complexity Filtered NOMA Using Novel Algorithm

Arun Kumar (), Karthikeyan Rajagopal, G. Gugapriya, Himanshu Sharma, Nidhi Gour, Mehedi Masud, Mohammed A. AlZain and Samah H. Alajmani
Additional contact information
Arun Kumar: Department of Electrical and Electronics Engineering, JECRC University, Jaipur 303905, India
Karthikeyan Rajagopal: Centre for Nonlinear Systems, Chennai Institute of Technology, Chennai 600069, India
G. Gugapriya: Vellore Institute of Technology, School of Electronics Engineering, Chennai 600073, India
Himanshu Sharma: Department of Computer Science & Engineering, JECRC University, Jaipur 303905, India
Nidhi Gour: Department of Computer Science & Engineering, JECRC University, Jaipur 303905, India
Mehedi Masud: Department of Computer Science, College of Computers and Information Technology, Taif University, P.O. Box 11099, Taif 21994, Saudi Arabia
Mohammed A. AlZain: Department of Information Technology, College of Computers and Information Technology, Taif University, P.O. Box 11099, Taif 21994, Saudi Arabia
Samah H. Alajmani: Department of Information Technology, College of Computers and Information Technology, Taif University, P.O. Box 11099, Taif 21994, Saudi Arabia

Sustainability, 2022, vol. 14, issue 15, 1-10

Abstract: Filtered Non-Orthogonal Multiple Access (F-NOMA) is a multi-carrier wave form and is considered a suitable contender for 5G radio. Peak to average power ratio (PAPR) is regarded as a major hurdle in the NOMA wave form because it hampers the efficiency of the power amplifier of the NOMA transmitter. In this study, a novel selective mapping (SLM) algorithm is used to minimize the PAPR of the NOMA. The conventional SLM increases the intricacy of the structure, and the projected SLM algorithm is applied to the transmitter part of the F-NOMA. Furthermore, we evaluate the performance of SLM on F-NOMA for 16, 64, and 256-Quadrature Amplitude Modulation (QAM) transmission methods. The parameters such as Bit Error Rate (BER), PAPR, power spectral density (PSD), and complexity are estimated and compared with different transmission patterns. The simulation outcomes of the work reveal that the optimal PAPR can be achieved by selecting the sub-block (S) and phase rotation elements (Ps). PAPR in F-NOMA achieves 1 dB gain in different QAM transmissions and its saving performance is 70.07%; however, complexity increases with an increase in modulation order.

Keywords: peak to average power ratio; selective mapping; quadrature amplitude modulation; fifth generation; filtered non orthogonal multiple access (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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