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Advanced signal transformation techniques to improve spectral efficiency in visible light communication systems.

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Title: Advanced signal transformation techniques to improve spectral efficiency in visible light communication systems.
Authors: Nawaf, Shaher Fleyeh1,2 shahir.f@alimamunc.edu.iq, Bouallegue, Ammar1 ammarbouallegue.syscom@gmail.com, Najeh, Sameh3 sameh.najeh@supcom.tn
Source: Telkomnika. Dec2025, Vol. 23 Issue 6, p1449-1456. 8p.
Subjects: Quadrature amplitude modulation, Orthogonal frequency division multiplexing, MatLab (Computer software), Optical communications, Bit error rate, Bandwidths, Signal-to-noise ratio, Electronic modulation
Abstract: Visible light communication (VLC) offers high-speed wireless communication using the visible light spectrum. Achieving high spectral efficiency while maintaining a low bit error rate (BER) remains a challenge. This paper explores the use of quadrature amplitude modulation (QAM) combined with orthogonal frequency division multiplexing (OFDM) to address these challenges. Matrix laboratory (MATLAB) simulations show that QAM-OFDM achieves a BER of 0.001 at comparable signal-to-noise ratios (SNR), outperforming traditional hermitian symmetry (HS), complex signal mapping (CSM), and quad-light emitting diode (LED) complex modulation (QCM) techniques. Unlike CSM, and QCM, which increase complexity, and BER, QAM-OFDM efficiently utilizes available bandwidth, reducing errors, and enhancing spectral efficiency. The study concludes, that QAM-OFDM happens to be the optimal solution for the future VLC systems, offering better performance within both efficiency, and reliability. [ABSTRACT FROM AUTHOR]
Copyright of Telkomnika is the property of Department of Electrical Engineering, Ahmad Dahlan University and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: Advanced signal transformation techniques to improve spectral efficiency in visible light communication systems.
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  Data: <searchLink fieldCode="JN" term="%22Telkomnika%22">Telkomnika</searchLink>. Dec2025, Vol. 23 Issue 6, p1449-1456. 8p.
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  Data: <searchLink fieldCode="DE" term="%22Quadrature+amplitude+modulation%22">Quadrature amplitude modulation</searchLink><br /><searchLink fieldCode="DE" term="%22Orthogonal+frequency+division+multiplexing%22">Orthogonal frequency division multiplexing</searchLink><br /><searchLink fieldCode="DE" term="%22MatLab+%28Computer+software%29%22">MatLab (Computer software)</searchLink><br /><searchLink fieldCode="DE" term="%22Optical+communications%22">Optical communications</searchLink><br /><searchLink fieldCode="DE" term="%22Bit+error+rate%22">Bit error rate</searchLink><br /><searchLink fieldCode="DE" term="%22Bandwidths%22">Bandwidths</searchLink><br /><searchLink fieldCode="DE" term="%22Signal-to-noise+ratio%22">Signal-to-noise ratio</searchLink><br /><searchLink fieldCode="DE" term="%22Electronic+modulation%22">Electronic modulation</searchLink>
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  Data: Visible light communication (VLC) offers high-speed wireless communication using the visible light spectrum. Achieving high spectral efficiency while maintaining a low bit error rate (BER) remains a challenge. This paper explores the use of quadrature amplitude modulation (QAM) combined with orthogonal frequency division multiplexing (OFDM) to address these challenges. Matrix laboratory (MATLAB) simulations show that QAM-OFDM achieves a BER of 0.001 at comparable signal-to-noise ratios (SNR), outperforming traditional hermitian symmetry (HS), complex signal mapping (CSM), and quad-light emitting diode (LED) complex modulation (QCM) techniques. Unlike CSM, and QCM, which increase complexity, and BER, QAM-OFDM efficiently utilizes available bandwidth, reducing errors, and enhancing spectral efficiency. The study concludes, that QAM-OFDM happens to be the optimal solution for the future VLC systems, offering better performance within both efficiency, and reliability. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Telkomnika is the property of Department of Electrical Engineering, Ahmad Dahlan University and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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    Identifiers:
      – Type: doi
        Value: 10.12928/TELKOMNIKA.v23i6.26835
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      – Code: eng
        Text: English
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        PageCount: 8
        StartPage: 1449
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      – SubjectFull: Quadrature amplitude modulation
        Type: general
      – SubjectFull: Orthogonal frequency division multiplexing
        Type: general
      – SubjectFull: MatLab (Computer software)
        Type: general
      – SubjectFull: Optical communications
        Type: general
      – SubjectFull: Bit error rate
        Type: general
      – SubjectFull: Bandwidths
        Type: general
      – SubjectFull: Signal-to-noise ratio
        Type: general
      – SubjectFull: Electronic modulation
        Type: general
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      – TitleFull: Advanced signal transformation techniques to improve spectral efficiency in visible light communication systems.
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            NameFull: Nawaf, Shaher Fleyeh
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            NameFull: Bouallegue, Ammar
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            NameFull: Najeh, Sameh
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            – D: 01
              M: 12
              Text: Dec2025
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              Y: 2025
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