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Fractal Peak Power Analysis On Noma Waveforms Using The Pts Method For Different Sub-Carriers: Applications In 5g And Beyond

Author

Listed:
  • 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)

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.

Suggested Citation

  • Aziz Nanthaamornphong & Arun Kumar & Mashael Maashi & Mohammed Maray & Shouki A. Ebad & Haya Mesfer Alshahrani & Assal Alqudah & Sanjeev Sharma, 2024. "Fractal Peak Power Analysis On Noma Waveforms Using The Pts Method For Different Sub-Carriers: Applications In 5g And Beyond," FRACTALS (fractals), World Scientific Publishing Co. Pte. Ltd., vol. 32(09n10), pages 1-11.
    • Handle: RePEc:wsi:fracta:v:32:y:2024:i:09n10:n:s0218348x25400171
    DOI: 10.1142/S0218348X25400171
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    Keywords

    PAPR; NOMA; PTS; BER; PSD;
    All these keywords.

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