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PAPR Minimization in FBMC Multi-Carrier Waveform by Particle Transmission Sequence-Particle Swarm Optimization Algorithm

  • THEORY AND METHODS OF SIGNAL PROCESSING
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Abstract

PAPR (Peak to average power ratio) is viewed as one of the serious concerns in NOMA (Non-Orthogonal multiple access) structures, which deteriorates the efficiency of a non-linear amplifier used in the system. In this correspondence, PTS-PSO (Partial transmission sequence-Particle swarm optimization) algorithm is implemented to analyze the PAPR, BER (bit error rate) and complexity of the system. The central target is to utilize a PSO algorithm to look for an ideal phase factor for PTS method, for which optimized PAPR and BER performance is achieved and complexity is also shortened. Further, the PTS-PSO algorithm is compared to the existing PAPR minimization algorithms and it is determined that the projected PTS-PSO gives a supreme performance related to prevailing PAPR minimization processes.

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  1. Department of Electronics and Communication, JECRC University, 303905, Jaipur, India

    A. Kumar

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Kumar, A. PAPR Minimization in FBMC Multi-Carrier Waveform by Particle Transmission Sequence-Particle Swarm Optimization Algorithm. J. Commun. Technol. Electron. 66, 155–163 (2021). https://doi.org/10.1134/S106422692102008X

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