Optimization of coded modulation theory and algorithm for optical fiber communication incorporating biomechanical signal transduction mechanism

Optical fiber communication coding and modulation techniques play a key role in high-speed and high-capacity transmission but are still limited by problems such as signal attenuation, nonlinear effects and increasing bit error rate. In order to optimize the performance of optical communication systems, this study draws on the biomechanical signal conduction mechanism to construct an optical fiber modulation scheme that integrates pulse time coding, adaptive modulation and redundancy coding. The experimental results show that this method significantly reduces the Bit Error Rate (BER), improves the signal-to-noise ratio, and enhances the signal robustness at different transmission distances. Compared with the conventional Quadrature Phase Shift Keying (QPSK) and 16-QAM modulation, the proposed scheme reduces the BER by about 37.5% and improves the Signal-to-Noise Ratio (SNR) by 2.1 dB at 150 km transmission, which verifies its advantages in terms of interference immunity and energy utilization. The research results provide a novel optimization strategy for optical fiber communication systems and lay a theoretical foundation for the research of next-generation intelligent modulation techniques.