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Underwater Wireless Optical Communication (UOWC) systems face significant challenges due to channel fluctuations, solar interference, and oceanic turbulence. This research proposes PAM-AMO, a novel power allocation method, to address these limitations and improve system reliability. PAM-AMO employs a comprehensive approach to optimize power distribution across multiple channels, considering channel conditions, solar radiation noise, and oceanic turbulence. By effectively allocating power, PAM-AMO significantly reduces outage probability (OP) and enhances overall system performance. Extensive simulations were conducted using MATLAB to validate PAM-AMO’s effectiveness. The Adaptive Crested Porcupine Optimizer (ACPO) algorithm optimized the power allocation. The results demonstrate that PAM-AMO consistently outperforms existing methods regarding OP, total transmitted power, and bit error rate (BER). In conclusion, PAM-AMO represents a promising solution for improving the reliability and efficiency of UOWC systems. Its ability to effectively allocate power and mitigate the effects of challenging underwater environments makes it a valuable tool for advancing underwater communication technology.

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Alternative Crested Porcupine-Based Power Optimization Scheme in UWOC for Minimizing Outage Probability

  • 会议论文

  • 发表日期：

    2026年

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  • Shambhavi Tiwari,
  • Kanchan Sharma

摘要

Underwater Wireless Optical Communication (UOWC) systems face significant challenges due to channel fluctuations, solar interference, and oceanic turbulence. This research proposes PAM-AMO, a novel power allocation method, to address these limitations and improve system reliability. PAM-AMO employs a comprehensive approach to optimize power distribution across multiple channels, considering channel conditions, solar radiation noise, and oceanic turbulence. By effectively allocating power, PAM-AMO significantly reduces outage probability (OP) and enhances overall system performance. Extensive simulations were conducted using MATLAB to validate PAM-AMO’s effectiveness. The Adaptive Crested Porcupine Optimizer (ACPO) algorithm optimized the power allocation. The results demonstrate that PAM-AMO consistently outperforms existing methods regarding OP, total transmitted power, and bit error rate (BER). In conclusion, PAM-AMO represents a promising solution for improving the reliability and efficiency of UOWC systems. Its ability to effectively allocate power and mitigate the effects of challenging underwater environments makes it a valuable tool for advancing underwater communication technology.