Arun Kumar, and Aziz Nanthaamornphon
Reducing the Peak to Average Power Ratio in Optical NOMA Waveform Using Airy-Special Function based PTS Algorithm
This paper introduces a novel Peak-to-Average Power Ratio (PAPR) reduction technique for Non-Orthogonal Multiple Access (NOMA) waveforms, leveraging an Airy function-based Partial Transmit Sequence (PTS) method. The proposed technique is evaluated on NOMA waveforms with subcarrier configurations of 64, 256, and 512, and its performance is benchmarked against conventional PTS, Selective Mapping (SLM), and Clipping and Filtering methods. Comprehensive analysis is conducted on key metrics, including PAPR, Bit Error Rate (BER), and Power Spectral Density (PSD). Results demonstrate that the Airy-based PTS method achieves substantial PAPR reduction across all subcarrier scenarios, consistently surpassing traditional approaches. Furthermore, the proposed method maintains competitive BER performance, particularly in high subcarrier scenarios, where conventional methods typically face limitations. PSD analysis further highlights the spectral efficiency of the Airy-based PTS method, exhibiting minimal out-of-band emissions. These findings position the Airybased PTS technique as a promising solution for improving NOMA waveform performance in 5G and beyond, achieving an optimal balance between PAPR reduction, BER, and spectral efficiency.
Reference:
DOI: 10.36244/ICJ.2025.1.2
Please cite this paper the following way:
Arun Kumar, and Aziz Nanthaamornphon, "Reducing the Peak to Average Power Ratio in Optical NOMA Waveform Using Airy-Special Function based PTS Algorithm ", Infocommunications Journal, Vol. XVII, No 1, March 2025, pp. 11-18., https://doi.org/10.36244/ICJ.2025.1.2