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    Area of Science:

    • Information Theory
    • Coding Theory
    • Digital Communications

    Background:

    • Soft-decision (SD) forward error correction (FEC) methods face high computational complexity.
    • Polar coding offers a promising approach to improve coding efficiency through channel polarization.

    Purpose of the Study:

    • To develop a low-complexity polar coding method for SD-FEC decoding.
    • To reduce computational overhead while maintaining robust error correction performance.

    Main Methods:

    • Proposed a polar coding technique utilizing a successive cancellation decoder.
    • Implemented channel polarization to differentiate bit-channel reliabilities.
    • Offloaded reliable bit-channels from SD-FEC processing.

    Main Results:

    • Achieved a 50% reduction in computational complexity compared to conventional SD-FEC.
    • Minimized bit error ratio (BER) performance degradation to under 0.6 dB.
    • Demonstrated effectiveness through numerical analysis.

    Conclusions:

    • The proposed polar coding method significantly reduces SD-FEC computational complexity.
    • The technique effectively suppresses BER degradation, offering a practical solution for efficient error correction.