Abstract
This work presents a novel peak-to-Average aower ratio (PAPR) reduction method for non-orthogonal multiple access (NOMA) waveforms based on an Airy function-based partial transmit sequence (PTS) strategy. The new approach is evaluated over NOMA systems with 64, 256, and 512 subcarriers and compared with traditional PTS, selective mapping (SLM), and clipping and filtering methods. Performance assessment takes into account significant parameters such as PAPR reduction, bit error rate (BER), and power spectral density (PSD). Findings show that the Airy-based PTS scheme efficiently reduces PAPR for all subcarrier configurations with a competitive BER, especially in high-subcarrier applications where conventional methods tend to deteriorate. PSD analysis also verifies that the suggested method maintains spectral integrity, reducing out-of-band emissions. Such a conclusion makes Airy-based PTS a promising means of improving the efficiency of NOMA waveforms in 5G and forthcoming wireless networks via an optimal performance balance between spectral efficiency, reduction of PAPR, and BER performance.
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Research ethics: Not applicable.
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Informed consent: Not applicable.
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Author contributions: The authors have accepted responsibility for the entire content of this manuscript and approved its submission.
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Use of Large Language Models, AI and Machine Learning Tools: None declared.
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Conflict of interest: The author states no conflict of interest.
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Research funding: Not applicable.
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Data availability: Not applicable.
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