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Multi-carrier Visible Light Communication System Using Enhanced Sub-carrier Index Modulation and Discrete Wavelet Transform

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Abstract

This work is aimed at providing a novel design of the Visible Light Communication (VLC) system that uses the Multi-Carrier Code-Division Multiple Access (MC-CDMA) technique to send and receive data through intensity-modulated/direct detected (IM/DD) VLC channel. The state-of-the-art framework of Enhanced Sub-Carrier Index Modulation (ESIM) is utilized to reduce the inherent peak-to-average power ratio (PAPR) in Orthogonal Frequency Division Multiplexing. Additionally, the use of cyclic prefix is omitted through the Discrete Wavelet Transform in the current system. Hence, the performance of the system is optimized in terms of PAPR, Bit Error Rate (BER), and data rate. The work presents the closed-form BER expressions for both conventional and proposed techniques in line-of-sight VLC channel. Correspondingly, the simulation programs are also executed to compared the proposed ESIM based WT-MC-CDMA system with both existing systems followed by an analysis of the results. Simulation results show the superior performance of the proposed system compared to existing systems.

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Authors and Affiliations

  1. School of Information, Computer, and Communication Technology, Sirindhorn International Institute of Technology, Bangkadi, Mueang, Pathum Thani, 12000, Thailand

    Arslan Khalid

  2. Department of Electrical Engineering, The University of Lahore, Defence Road, Lahore, 54000, Pakistan

    Faizan Rashid & Umair Tahir

  3. Department of Electrical and Computer Engineering, Sultan Qaboos University, Muscat, Oman

    Hafiz M. Asif

  4. Artificial Intelligence Engineering Department, Research Center for AI and IoT, Near East University, Nicosia, Mersin 10, Turkey

    Fadi Al-Turjman

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  1. Arslan Khalid
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Correspondence to Arslan Khalid.

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Khalid, A., Rashid, F., Tahir, U. et al. Multi-carrier Visible Light Communication System Using Enhanced Sub-carrier Index Modulation and Discrete Wavelet Transform. Wireless Pers Commun 127, 187–215 (2022). https://doi.org/10.1007/s11277-021-08121-y

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