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Analysis of PAPR reduction algorithms for optical OFDM 5G radio waveform system for visible light communication

  • Arun Kumar , T.D.N.S.S Sarveswara Rao , Gireesh Babu C.N. , Nishant Gaur and Aziz Nanthaamornphong ORCID logo EMAIL logo
Published/Copyright: January 10, 2025
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Abstract

The integration of Optical Orthogonal Frequency Division Multiplexing (OFDM) with the 5G radio waveforms has lately been attracting special attention toward its possible Visible Light Communication (VLC) systems. On the other hand, however, a key challenge in the Optical OFDM is the presence of very high PAPR, degrading the overall system performance by introducing nonlinear distortions in the optical transmitter. In the present paper, different kinds of PAPR reduction algorithms specifically developed for Optical OFDM in VLC systems are developed and investigated. Analyze techniques like clipping, selective mapping (SLM), partial transmit sequence (PTS), and companding for their PAPR reduction efficiency along with the preservation of spectral efficiency and signal integrity. Based on the above aspects, various performance metrics, such as BER, computational complexity, and SNR, have been considered in order to understand each technique’s trade-off. It can be clearly seen that the hybrid and adaptive approaches achieve greater PAPR reduction without much loss of performance and are thus appropriate for future generation optical communication systems. This analysis underlines the use of optimized PAPR reduction algorithms to achieve robust and efficient systems for 5G VLC applications.

Keywords: optical; VLC; PAPR; OFDM; SLM; PTS

Corresponding author: Aziz Nanthaamornphong, College of Computing, Prince of Songkla University, Phuket, Thailand, E-mail:

  1. Research ethics: Not applicable.

  2. Informed consent: Not applicable.

  3. Author contributions: The authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  4. Use of Large Language Models, AI and Machine Learning Tools: None declared.

  5. Conflict of interest: The authors state no conflict of interest.

  6. Research funding: None declared.

  7. Data availability: Not applicable.

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Received: 2024-11-08
Accepted: 2024-12-31
Published Online: 2025-01-10

© 2025 Walter de Gruyter GmbH, Berlin/Boston

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