A novel constellation-shaped 127QAM scheme based on geometric-shaping is proposed. In a 140-Gb/s simulation system, the proposed scheme has a 0.87dB OSNR gain and a 186km transmission-distance gain at 2e-2 BER, compared with uniform-128QAM.
Many smart factories use the smart grid for power system automation, and its wireless control technology requires low-time-delay and high-reliability communication. Guessing random additive noise decoding algorithm has outstanding short packet error correction performance. In the decoding process, the order of noise parameter combination affects the decoding delay. Aiming at the communication problem of the smart grid in the process of factory power supply and distribution, this study analyzes the characteristics of the original noise parameter ranking algorithm. When the steady-state flip probability is large, more search times are required to obtain the correct combination of noise parameters, which means that greater delay is required for decoding in the time-varying channel. To solve the aforementioned problems, this study optimizes the noise parameter ranking before the noise error mode arrangement and proposes a noise parameter ranking algorithm for predicting the symbol string. First, the channel perception is completed by edge computing. Then, the algorithm uses the obtained soft information to rank the channel noise parameters. Simulation results show that the proposed algorithm has better search performance than the original sorting algorithm, especially when the channel parameter b is greater than 0.5. Finally, by comparing the BM Decoding Algorithm of BCH with different noise parameter ranking algorithms of decoding, the results show that the noise parameter ranking algorithm proposed in this study has better decoding performance in the environmental channel of the smart factory, so as to improve the reliability of the smart grid in the process of factory power supply and distribution.
A novel fast-adaptive weighted hybrid-shaped M-ary quadrature amplitude modulation (HS-MQAM) format is proposed in this paper. By introducing a fast-adaptive weighting factor array related to geometric shaping and probabilistic shaping, the non-linear impairment is mitigated and the bit error rate (BER) and mutual information (MI) performances are further improved. The simulation results show that the proposed HS-61QAM outperforms both geometric-shaped 61 quadrature amplitude modulation (GS-61QAM) and regular 64QAM, and has more obvious advantages in the long-haul optical transmission system. For a 120-Gb/s optical communication system over 10 × 75 km fiber transmission link, compared with GS-61QAM and regular 64QAM, the proposed approach can achieve about 4.2 and 8 dB OSNR gain at the BER of 10 −2 , and 0.21 and 0.55 bits/ symbol MI gain at the OSNR of 22 dB.
A low complexity geometrically-shaped (GS) 16QAM is proposed in order to obtain the shaping gain effectively. The simulation results show that the proposed GS-16QAM outperforms the regular 16QAM in the aspect of mutual information (MI).
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