Hanowa Matrix based SLM Technique for PAPR Reduction in OFDM Systems

Prasad, Sanjana; Arun, S.

doi:10.1109/iconat57137.2023.10080797

2023 International Conference for Advancement in Technology (ICONAT) 2023

DOI: 10.1109/iconat57137.2023.10080797

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Hanowa Matrix based SLM Technique for PAPR Reduction in OFDM Systems

Sanjana Prasad¹,

S. Arun

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Cited by 2 publications

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A Review and Comparative Analysis of PAPR Reduction Techniques of OFDM System

Singhal,

Sharma

2024

Wireless Pers Commun

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A Review and Comparative Analysis of PAPR Reduction Techniques of OFDM System

Singhal,

Sharma

2024

Wireless Pers Commun

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Time Reduction for SLM OFDM PAPR Based on Adaptive Genetic Algorithm in 5G IoT Networks

Hagras,

F. Desouky,

Aldosary

et al. 2023

Sensors

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In this paper, a new peak average power and time reduction (PAPTR) based on the adaptive genetic algorithm (AGA) strategy is used in order to improve both the time reduction and PAPR value reduction for the SLM OFDM and the conventional genetic algorithm (GA) SLM-OFDM. The simulation results demonstrate that the recommended AGA technique reduces PAPR by about 3.87 dB in comparison to SLM-OFDM. Comparing the suggested AGA SLM-OFDM to the traditional GA SLM-OFDM using the same settings, a significant learning time reduction of roughly 95.56% is achieved. The PAPR of the proposed AGA SLM-OFDM is enhanced by around 3.87 dB in comparison to traditional OFDM. Also, the PAPR of the proposed AGA SLM-OFDM is roughly 0.12 dB worse than that of the conventional GA SLM-OFDM.

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Hanowa Matrix based SLM Technique for PAPR Reduction in OFDM Systems

Cited by 2 publications

References 10 publications

A Review and Comparative Analysis of PAPR Reduction Techniques of OFDM System

A Review and Comparative Analysis of PAPR Reduction Techniques of OFDM System

Time Reduction for SLM OFDM PAPR Based on Adaptive Genetic Algorithm in 5G IoT Networks

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