PERTANIKA JOURNAL OF SCIENCE AND TECHNOLOGY

 

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ISSN 0128-7680

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Noise-Resilient and Low Complexity LACO-OFDM Using Approximation Log-Likelihood Ratio (approxLLR) Soft-decision Demodulation with Single-FFT Receiver

Norzalina Othman and Mohd Rashidi Che Beson

Pertanika Journal of Science & Technology, Pre-Press

DOI: https://doi.org/10.47836/pjst.34.3.12

Keywords: LACO-OFDM, LLR, optical wireless communication, soft-decision demodulation, visible light communication

Published: 2026-06-19

Layered Asymmetrically Clipped Optical Orthogonal Frequency Division Multiplexing (LACO-OFDM) is a promising multicarrier modulation scheme applied in Visible Light Communication (VLC) systems. The conventional LACO-OFDM with iterative receiver introduces high computational complexity and low noise resilience, particularly under high-order modulation and multi-layer configurations. A new enhancement of the demodulation technique based on approximate Log-Likelihood Ratio (approxLLR) with a single-FFT receiver was proposed to address this limitation. The approach enhances noise robustness by estimating bit-wise confidence levels via LLR approximation, while significantly reducing complexity by eliminating the need for pairwise FFT/IFFT operations and the layer-by-layer reconstruction of clipping distortion, which are typically required in conventional LACO-OFDM with iterative receiver demodulation schemes. A significant performance improvement at a target bit error rate (BER) of 10-4, effectively demonstrated with a 4 to 5 times enhancement over the conventional scheme under moderate modulation orders. This corresponds to BER reductions of approximately ~0.705, ~0.615, and ~0.591 orders of magnitude at SNR = 10 dB for 16-QAM, 32-QAM, and 64-QAM. For symbol detection on higher layers (layer≥2), 0.7, 0.3, and 0.1 were identified as optimal scale factors for 4-QAM, 16-QAM, and 64-QAM, respectively. The approxLLR SD approach preserves energy efficiency (EE) in the power analysis, despite only slightly increasing power even with a higher layer count configuration.

ISSN 0128-7702

e-ISSN 2231-8534

Article ID

JST-6196-2025

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