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Solution for error propagation in a NOMA-based VLC network: symmetric superposition coding.

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    This study introduces symmetric superposition coding and decoding for visible light communication networks using non-orthogonal multiple access. The new method significantly reduces error propagation, improving system performance and user fairness in 5G wireless systems.

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    Area of Science:

    • Wireless Communication Engineering
    • Optical Communication Systems
    • Signal Processing

    Background:

    • Non-orthogonal multiple access (NOMA) offers superior spectral efficiency for 5G wireless networks.
    • Visible light communication (VLC) networks can benefit from NOMA, but face challenges with error propagation (EP) from successive interference cancellation (SIC).
    • Existing NOMA-VLC systems suffer degraded bit error rate (BER) performance and user unfairness due to unresolved EP.

    Purpose of the Study:

    • To propose and evaluate novel symmetric superposition coding (SSC) and symmetric SIC (SSIC) decoding techniques for downlink NOMA-VLC networks.
    • To address and mitigate the error propagation (EP) problem inherent in NOMA-VLC systems.
    • To enhance system BER performance and ensure user fairness.

    Main Methods:

    • Developed symmetric superposition coding (SSC) to modify power allocation and signal structure.
    • Implemented symmetric successive interference cancellation (SSIC) decoding to manage interference.
    • Designed the demodulation regions to be symmetrical relative to the decision threshold of the lower-power user.
    • Experimentally validated the proposed SSC and SSIC methods in a NOMA-VLC testbed.

    Main Results:

    • The proposed SSC and SSIC decoding significantly reduces error propagation (EP) in NOMA-VLC systems.
    • Experimental results demonstrate the elimination of over 90% of demodulation errors caused by EP compared to traditional NOMA-VLC.
    • The symmetric approach improves BER performance and user fairness.

    Conclusions:

    • Symmetric superposition coding and symmetric SIC decoding effectively resolve the error propagation issue in NOMA-VLC networks.
    • The proposed methods offer a viable solution for enhancing the performance and fairness of future 5G wireless communication systems utilizing VLC.
    • This advancement paves the way for more robust and efficient visible light communication systems.