FRACTAL PEAK POWER ANALYSIS ON NOMA WAVEFORMS USING THE PTS METHOD FOR DIFFERENT SUB-CARRIERS: APPLICATIONS IN 5G AND BEYOND

Aziz Nanthaamornphong, Arun Kumar, Mashael Maashi, Mohammed Maray, Shouki A. Ebad, Haya Mesfer Alshahrani, Assal Alqudah and Sanjeev Sharma
Additional contact information
Aziz Nanthaamornphong: College of Computing, Prince of Songkla University, Phuket, Thailand
Arun Kumar: ��, ††Department of Electronics and Communication Engineering, New Horizon College of Engineering, Bengaluru, India
Mashael Maashi: ��Department of Software Engineering, College of Computer and Information Sciences, King Saud University P. O. Box 103786, Riyadh 11543, Saudi Arabia
Mohammed Maray: �Department of Information Systems, College of Computer Science, King Khalid University, Abha, Saudi Arabia
Shouki A. Ebad: �Department of Computer Science, Faculty of Science, Northern Border University, Arar 91431, Saudi Arabia
Haya Mesfer Alshahrani: ��Department of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P. O. Box 84428, Riyadh 11671, Saudi Arabia
Assal Alqudah: *Department of Computer Science, AlZaytoonah University of Jordan, Amman Jordan
Sanjeev Sharma: ��, ††Department of Electronics and Communication Engineering, New Horizon College of Engineering, Bengaluru, India

FRACTALS (fractals), 2024, vol. 32, issue 09n10, 1-11

Abstract: Nonorthogonal multiple access (NOMA) waveforms need to be tested for their performance and effectiveness using partial transmit sequence (PTS) techniques and peak-to-average power ratio (PAPR) analysis. This is an important part of the advanced radio framework. This paper examines the PAPR features of NOMA systems using PTS with different sub-carrier configurations (64, 256, and 512). We examine BER, PSD, and PAPR distributions by modeling NOMA waveforms with PTS to understand the impact of different sub-carrier counts on signal complexity and efficiency. The findings shed light on how sub-carrier quantity affects PAPR statistics and offer guidance on the best way to design NOMA waveforms for improved spectral efficiency and reduced signal distortion. The simulation results show that by lowering the PAPR while maintaining the BER performance, the suggested system performs better than the traditional PAPR algorithm.

Keywords: PAPR; NOMA; PTS; BER; PSD (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1142/S0218348X25400171

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