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Reducing PAPR with Low Complexity Filtered NOMA Using Novel Algorithm

Author

Listed:
  • 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
    Department of Electronics and Communication Engineering and University Centre for Research & Development, Chandigarh University, Mohali 140413, 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)

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.

Suggested Citation

  • Arun Kumar & Karthikeyan Rajagopal & G. Gugapriya & Himanshu Sharma & Nidhi Gour & Mehedi Masud & Mohammed A. AlZain & Samah H. Alajmani, 2022. "Reducing PAPR with Low Complexity Filtered NOMA Using Novel Algorithm," Sustainability, MDPI, vol. 14(15), pages 1-10, August.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:15:p:9631-:d:880961
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    References listed on IDEAS

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    1. Sara Carcangiu & Alessandra Fanni & Augusto Montisci, 2022. "A Closed Form Selected Mapping Algorithm for PAPR Reduction in OFDM Multicarrier Transmission," Energies, MDPI, vol. 15(5), pages 1-23, March.
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