PAPR reduction hybrid scheme for VLC systems based on conventional algorithm and neural network

Cai Wang; Weihua Zhang; Daolian Jiang; Zhengrong Tong; Hao Wang

doi:10.1117/12.3054324

20 January 2025 PAPR reduction hybrid scheme for VLC systems based on conventional algorithm and neural network

Cai Wang, Weihua Zhang, Daolian Jiang, Zhengrong Tong, Hao Wang

Author Affiliations +

Proceedings Volume 13515, Fourth International Conference on Advanced Manufacturing Technology and Electronic Information (AMTEI 2024); 135151S (2025) https://doi.org/10.1117/12.3054324
Event: 4th International Conference on Advanced Manufacturing Technology and Electronic Information (AMTEI 2024), 2024, Chongqing, China

Abstract

Asymmetrically clipped orthogonal frequency division multiplexing (ACO-OFDM) system that is based on visible light communication (VLC) system face this issue of high peak-to-average power ratio (PAPR). To address this issue, a hybrid scheme combining the partial transmission sequences technique optimized by particle swarm optimization algorithm (OPTS) and time-delay neural network (TDNN) is proposed. Compared to schemes that apply a single PAPR reduction technique, the hybrid scheme that has been proposed is more effective at reducing the PAPR. Moreover, the proposed scheme has a lower computational complexity than the conventional hybrid scheme.

(2025) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Cai Wang, Weihua Zhang, Daolian Jiang, Zhengrong Tong, and Hao Wang "PAPR reduction hybrid scheme for VLC systems based on conventional algorithm and neural network", Proc. SPIE 13515, Fourth International Conference on Advanced Manufacturing Technology and Electronic Information (AMTEI 2024), 135151S (20 January 2025); https://doi.org/10.1117/12.3054324

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