Design and Analysis on U-VLC-CC-CDMA Systems

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Machine Learning and Intelligent Communication (MLICOM 2022)

Abstract

Visible light communication (VLC) has dual functions of communication and lighting, and is widely used in the next generation wireless communication field. A suitable multiple access method is needed in the multi-user scenario of visible light communication to eliminate interference. This paper designs a VLC code division multiple access (VLC-CDMA) using complementary codes (CCs). CCs have ideal autocorrelation and cross-correlation properties, which can be used to distinguish different users. The issues on periodicity and correlation of CCs in VLC-CDMA systems are discussed as preliminaries. The transmitter uses LEDs of different wavelengths to separate different sub-codes in the CCs. The compensation circuit is used to synthesize white light and realize equal gain combination of the received signals. The receiver uses a filter with different central wavelength to separate signals transmitted by different sub-codes and convert them into electrical signals. B/U and U/B modules at transmitter and receiver are designed to complete the conversion between unipolar signals and bipolar signals. The anti-interference performance and a theoretical analysis on BER are conducted to verify the effectiveness. In addition, we compare the performance of VLC-CDMA systems using CC, Walsh sequences and Gold sequences, which shows that VLC-CDMA system using CCs can eliminate multi-user and multi-path interference.

The work presented in this article was sponsored in part by the 2022 Featured Innovation Projects of General Colleges and Universities of Guangdong Province, the 2022 Enhancement of Key Construction Discipline Research Ability Project of Guangdong Province, the Natural Science Foundation of Guangdong Province, the 2022 Education Science Planning Project of Guangdong Province (Nos. 2022KTSCX189, 2022ZDJS140, 2023A1515011302, 2022GXJK087) and the Doctoral Promotion Program of Zhuhai College of Science and Technology.

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Acknowledgment

The work presented in this article was sponsored in part by the 2022 Featured Innovation Projects of General Colleges and Universities in Guangdong Province (Nos. 2022KTSCX189, ZLGC20220204) and the Doctoral Promotion Program of Zhuhai College of Science and Technology.

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Correspondence to **ao-yu Yu .

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Qiu, Y. et al. (2023). Design and Analysis on U-VLC-CC-CDMA Systems. In: Jiang, X. (eds) Machine Learning and Intelligent Communication. MLICOM 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 481. Springer, Cham. https://doi.org/10.1007/978-3-031-30237-4_16

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  • DOI: https://doi.org/10.1007/978-3-031-30237-4_16

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