In this paper, an intensity modulation and direct detection (IM-DD) discrete multi-tone (DMT) interconnection system employing polar coded and deep learning-assisted forward error correction decoding probabilistic shaping 16 quadrature amplitude modulation (PS-16QAM) is studied. By employing many-to-one (MTO) based PS to achieve signal Gaussian distribution model, the proposed optical DMT system is with the advantages of shaping overhead free profile, and optimized polar coded modulation architecture. To overcome the ambiguous problem for the overlapping symbol decision in PS, a deep learning assisted forward error correction decoding is proposed for belief propagation (BP) based polar decoding. The computational complexity of deep learning assisted polar decoding is superior to the original BP decoding one, and with faster rate convergence and better optical transmission performance. Simulation results in a 100Gb/s optical DMT transmission system present that, the deep learning assisted polar coded PS-16QAM signal achieves 0.38-dB superior receiver power sensitivity compared with conventional polar coded system over 10-km standard single mode fiber transmission.
KEYWORDS: Optical interconnects, Deep learning, Optical transmission, Neural networks, Data transmission, Signal processing, Digital signal processing, Bias correction, Telecommunications
In this paper, an intensity modulation direct detection interconnection system employing modeling-driven neural network (MDNN) assisted low-density parity-check code (LDPC) is proposed and experimentally demonstrated. The weights and biases are utilized to optimize the decoder parameters through model-driven deep learning LDPC decoding processing. Compared with traditional schemes that employ LDPC decoding with high computational complexity and redundancy, the proposed scheme has the advantages of a relatively lower complexity decoder and higher decoding gains. The results show that the MDNN signals can provide a 0.28-dB improvement in receiver power sensitivity and a 46% reduction in complexity in a 10-km IMDD optical four-pulse amplitude modulation interconnection system.
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