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Performance enhancement of 3D-GS-CAP based on improved swarm intelligence algorithm and spherical Fibonacci grid in VLC system.

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Title: Performance enhancement of 3D-GS-CAP based on improved swarm intelligence algorithm and spherical Fibonacci grid in VLC system.
Authors: Wang, Tianshuo1,2,3 (AUTHOR), Ma, Jie1,2,3 (AUTHOR) jie.ma@hebut.edu.cn, Lu, Jia1,2,3 (AUTHOR), Liu, Jianfei1,2,3 (AUTHOR), Zeng, Xiangye1,2,3 (AUTHOR), Wang, Yang1,2,3 (AUTHOR)
Source: Optics Communications. Oct2025, Vol. 591, pN.PAG-N.PAG. 1p.
Subjects: Optimization algorithms, Swarm intelligence, Bit error rate, Optical communications, Phase modulation
Abstract: This paper proposes an optimization scheme for three-dimensional geometrically shaped carrier-less amplitude phase (3D-GS-CAP) modulation based on the multi-strategy improved honey badger algorithm (MIHBA) and the spherical Fibonacci grid (SFG), with its performance experimentally verified in a visible light communication (VLC) system. To reduce the geometric complexity of artificial constellation design, the scheme uses the uniform distribution of the spherical surface and the swarm intelligence algorithm to optimize the three-dimensional (3D) spherical surface. Aiming at the problem that the HBA algorithm is prone to local optimality, four improvement strategies are proposed in this paper to optimize the 3D constellation distribution and improve the anti-noise ability of the signal. In addition, in order to solve the high computational complexity of existing optimization algorithms, SFG is introduced innovatively in this paper. The universality of the method to constellation points makes it efficient to optimize under different orders without complicated parameter adjustment. The experimental results show that when the bit error rate threshold is 5E-4, the maximum Vpp operating range of 3D-MIHBA is extended by 59.98 % and the bias current is increased by 23.4 mA compared with the traditional 3D-CAP-16 signal. This shows that the scheme enhances the anti-noise capability of the system and greatly improves the flexibility of constellation optimization under low complexity. • We propose a 3D-GS-CAP optimization scheme based on MIHBA and SFG in a VLC system. • Introduce various strategies to improve HBA algorithm's optimization performance. • SFG and GS are combined to reduce the high complexity of traditional algorithms. • Proposed scheme shows GS flexibility and applicability in VLC with low complexity. • Experimental results show that 3D-MIHBA has better anti-noise ability. [ABSTRACT FROM AUTHOR]
Copyright of Optics Communications is the property of Elsevier B.V. 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.)
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DbLabel: Engineering Source
An: 186922347
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  Label: Title
  Group: Ti
  Data: Performance enhancement of 3D-GS-CAP based on improved swarm intelligence algorithm and spherical Fibonacci grid in VLC system.
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  Data: <searchLink fieldCode="AR" term="%22Wang%2C+Tianshuo%22">Wang, Tianshuo</searchLink><relatesTo>1,2,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ma%2C+Jie%22">Ma, Jie</searchLink><relatesTo>1,2,3</relatesTo> (AUTHOR)<i> jie.ma@hebut.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Lu%2C+Jia%22">Lu, Jia</searchLink><relatesTo>1,2,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Liu%2C+Jianfei%22">Liu, Jianfei</searchLink><relatesTo>1,2,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zeng%2C+Xiangye%22">Zeng, Xiangye</searchLink><relatesTo>1,2,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Yang%22">Wang, Yang</searchLink><relatesTo>1,2,3</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Optics+Communications%22">Optics Communications</searchLink>. Oct2025, Vol. 591, pN.PAG-N.PAG. 1p.
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  Data: <searchLink fieldCode="DE" term="%22Optimization+algorithms%22">Optimization algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Swarm+intelligence%22">Swarm intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Bit+error+rate%22">Bit error rate</searchLink><br /><searchLink fieldCode="DE" term="%22Optical+communications%22">Optical communications</searchLink><br /><searchLink fieldCode="DE" term="%22Phase+modulation%22">Phase modulation</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This paper proposes an optimization scheme for three-dimensional geometrically shaped carrier-less amplitude phase (3D-GS-CAP) modulation based on the multi-strategy improved honey badger algorithm (MIHBA) and the spherical Fibonacci grid (SFG), with its performance experimentally verified in a visible light communication (VLC) system. To reduce the geometric complexity of artificial constellation design, the scheme uses the uniform distribution of the spherical surface and the swarm intelligence algorithm to optimize the three-dimensional (3D) spherical surface. Aiming at the problem that the HBA algorithm is prone to local optimality, four improvement strategies are proposed in this paper to optimize the 3D constellation distribution and improve the anti-noise ability of the signal. In addition, in order to solve the high computational complexity of existing optimization algorithms, SFG is introduced innovatively in this paper. The universality of the method to constellation points makes it efficient to optimize under different orders without complicated parameter adjustment. The experimental results show that when the bit error rate threshold is 5E-4, the maximum Vpp operating range of 3D-MIHBA is extended by 59.98 % and the bias current is increased by 23.4 mA compared with the traditional 3D-CAP-16 signal. This shows that the scheme enhances the anti-noise capability of the system and greatly improves the flexibility of constellation optimization under low complexity. • We propose a 3D-GS-CAP optimization scheme based on MIHBA and SFG in a VLC system. • Introduce various strategies to improve HBA algorithm's optimization performance. • SFG and GS are combined to reduce the high complexity of traditional algorithms. • Proposed scheme shows GS flexibility and applicability in VLC with low complexity. • Experimental results show that 3D-MIHBA has better anti-noise ability. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Optics Communications is the property of Elsevier B.V. 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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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.optcom.2025.132161
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      – Code: eng
        Text: English
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        PageCount: 1
        StartPage: N.PAG
    Subjects:
      – SubjectFull: Optimization algorithms
        Type: general
      – SubjectFull: Swarm intelligence
        Type: general
      – SubjectFull: Bit error rate
        Type: general
      – SubjectFull: Optical communications
        Type: general
      – SubjectFull: Phase modulation
        Type: general
    Titles:
      – TitleFull: Performance enhancement of 3D-GS-CAP based on improved swarm intelligence algorithm and spherical Fibonacci grid in VLC system.
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            NameFull: Wang, Tianshuo
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            NameFull: Ma, Jie
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            NameFull: Lu, Jia
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            NameFull: Zeng, Xiangye
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              Text: Oct2025
              Type: published
              Y: 2025
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              Value: 591
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