Asymptotic Capacity Maximization for MISO Visible Light Communication Systems with a Liquid Crystal RIS-Based Receiver
Combined with reconfigurable intelligent surfaces (RISs), visible light communications (VLCs) can increase the communication performance to a great degree. However, the research into RIS-aided VLC systems has mainly focused on mirror array-based RISs deployed on the wall while neglecting liquid crys...
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MDPI AG
2023-01-01
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| Series: | Photonics |
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| Online Access: | https://www.mdpi.com/2304-6732/10/2/128 |
| _version_ | 1797618668315607040 |
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| author | Qi Wu Jian Zhang Yanyu Zhang Gang Xin Dongqin Guo |
| author_facet | Qi Wu Jian Zhang Yanyu Zhang Gang Xin Dongqin Guo |
| author_sort | Qi Wu |
| collection | DOAJ |
| description | Combined with reconfigurable intelligent surfaces (RISs), visible light communications (VLCs) can increase the communication performance to a great degree. However, the research into RIS-aided VLC systems has mainly focused on mirror array-based RISs deployed on the wall while neglecting liquid crystal (LC)-based RISs in VLC receivers. With the development of advanced materials, the LC RIS has been gradually attracting attention from researchers. Inspired by the current research into the LC RIS, the applications of the LC RIS in multiple-input single-output (MISO) VLC systems are investigated in this paper. We formulate an optimization problem with asymptotic capacity maximization as the objective function and the refractive index of the LC RIS as the independent variable. As for this nonconvex optimization problem, we propose the particle swarm optimization (PSO) algorithm to determine the configuration of parameters for the LC RIS. The simulation results indicate that the employment of the LC RIS in VLC receivers can raise the communication performance of the MISO-VLC systems; meanwhile, the proposed algorithm is an effective way to deal with the optimization problems for LC RIS-based MISO-VLC systems when compared with the exhaustive search method and a baseline scheme. The LC RIS is also expected to solve the dead zone problem in traditional VLC systems. |
| first_indexed | 2024-03-11T08:15:45Z |
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| id | doaj.art-5f781500a9204f068e9cbab1f1963ece |
| institution | Directory Open Access Journal |
| issn | 2304-6732 |
| language | English |
| last_indexed | 2024-03-11T08:15:45Z |
| publishDate | 2023-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Photonics |
| spelling | doaj.art-5f781500a9204f068e9cbab1f1963ece2023-11-16T22:44:46ZengMDPI AGPhotonics2304-67322023-01-0110212810.3390/photonics10020128Asymptotic Capacity Maximization for MISO Visible Light Communication Systems with a Liquid Crystal RIS-Based ReceiverQi Wu0Jian Zhang1Yanyu Zhang2Gang Xin3Dongqin Guo4National Digital Switching System Engineering and Technological Research Center, Zhengzhou 450000, ChinaNational Digital Switching System Engineering and Technological Research Center, Zhengzhou 450000, ChinaNational Digital Switching System Engineering and Technological Research Center, Zhengzhou 450000, ChinaNational Digital Switching System Engineering and Technological Research Center, Zhengzhou 450000, ChinaNational Digital Switching System Engineering and Technological Research Center, Zhengzhou 450000, ChinaCombined with reconfigurable intelligent surfaces (RISs), visible light communications (VLCs) can increase the communication performance to a great degree. However, the research into RIS-aided VLC systems has mainly focused on mirror array-based RISs deployed on the wall while neglecting liquid crystal (LC)-based RISs in VLC receivers. With the development of advanced materials, the LC RIS has been gradually attracting attention from researchers. Inspired by the current research into the LC RIS, the applications of the LC RIS in multiple-input single-output (MISO) VLC systems are investigated in this paper. We formulate an optimization problem with asymptotic capacity maximization as the objective function and the refractive index of the LC RIS as the independent variable. As for this nonconvex optimization problem, we propose the particle swarm optimization (PSO) algorithm to determine the configuration of parameters for the LC RIS. The simulation results indicate that the employment of the LC RIS in VLC receivers can raise the communication performance of the MISO-VLC systems; meanwhile, the proposed algorithm is an effective way to deal with the optimization problems for LC RIS-based MISO-VLC systems when compared with the exhaustive search method and a baseline scheme. The LC RIS is also expected to solve the dead zone problem in traditional VLC systems.https://www.mdpi.com/2304-6732/10/2/128visible light communication (VLC)reconfigurable intelligent surface (RIS)asymptotic capacityliquid crystals (LC)optimization algorithm |
| spellingShingle | Qi Wu Jian Zhang Yanyu Zhang Gang Xin Dongqin Guo Asymptotic Capacity Maximization for MISO Visible Light Communication Systems with a Liquid Crystal RIS-Based Receiver Photonics visible light communication (VLC) reconfigurable intelligent surface (RIS) asymptotic capacity liquid crystals (LC) optimization algorithm |
| title | Asymptotic Capacity Maximization for MISO Visible Light Communication Systems with a Liquid Crystal RIS-Based Receiver |
| title_full | Asymptotic Capacity Maximization for MISO Visible Light Communication Systems with a Liquid Crystal RIS-Based Receiver |
| title_fullStr | Asymptotic Capacity Maximization for MISO Visible Light Communication Systems with a Liquid Crystal RIS-Based Receiver |
| title_full_unstemmed | Asymptotic Capacity Maximization for MISO Visible Light Communication Systems with a Liquid Crystal RIS-Based Receiver |
| title_short | Asymptotic Capacity Maximization for MISO Visible Light Communication Systems with a Liquid Crystal RIS-Based Receiver |
| title_sort | asymptotic capacity maximization for miso visible light communication systems with a liquid crystal ris based receiver |
| topic | visible light communication (VLC) reconfigurable intelligent surface (RIS) asymptotic capacity liquid crystals (LC) optimization algorithm |
| url | https://www.mdpi.com/2304-6732/10/2/128 |
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