WEKP-PLP：面向岸船通信的无线环境知识库增强路径损耗预测框架
WEKP-PLP: A Wireless Environment Knowledge Pool-Enhanced Path Loss Prediction Framework for Shore-to-Ship Communication
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中文总结 AI 辅助
针对动态海面导致岸船路径损耗预测不准的问题，提出WEKP-PLP方法，利用射线追踪构建知识库提供先验，结合少量实测样本经高斯过程回归修正残差，实现高精度点预测与可靠区间，MAE为1.03 dB，RMSE为1.54 dB。
中文摘要 AI 辅助
准确的岸船路径损耗预测对于海事移动通信系统至关重要，但由于动态海面条件会改变反射路径和多径效应，给观测到的路径损耗引入不确定性，因此这一任务仍然具有挑战性。本文提出了一种无线环境知识库增强的路径损耗预测（WEKP-PLP）方法，用于岸船路径损耗的点预测和区间表征。所提方法首先在不同风速、温度、盐度、频率、天线高度和传播距离下，通过射线追踪（RT）仿真构建无线环境知识库（WEKP）。WEKP学习从环境和系统参数到路径损耗残差分位数的映射，并提供包含中位数预测及相关预测区间的先验信息。为使该先验适应实际场景，利用少量测量样本，通过高斯过程回归（GPR）学习WEKP中位数预测与实测路径损耗之间的残差。实验结果表明，WEKP-PLP提供了准确的点预测和具有可靠覆盖率的紧凑区间。所提方法实现了1.03 dB的平均绝对误差（MAE）和1.54 dB的均方根误差（RMSE）。消融结果进一步证实，WEKP先验以及使用少量测量样本的残差校正对于准确可靠的岸船路径损耗预测都是必要的。
英文摘要
Accurate shore-to-ship path loss prediction is essential for maritime mobile communication systems, but it remains challenging because dynamic sea surface conditions can alter reflection paths and multipath effects, introducing uncertainty into the observed path loss. This paper proposes a wireless environment knowledge pool-enhanced path loss prediction (WEKP-PLP) method for point prediction and interval characterization of shore-to-ship path loss. The proposed method first constructs a wireless environment knowledge pool (WEKP) from ray tracing (RT) simulations under different wind speeds, temperatures, salinities, frequencies, antenna heights, and propagation distances. The WEKP learns the mapping from environmental and system parameters to path loss residual quantiles and provides a prior that contains both the median prediction and the associated prediction interval. To adapt this prior to real scenarios, a small number of measurement samples are used to learn the residual between the WEKP median prediction and the measured path loss through Gaussian process regression (GPR). The experimental results show that the WEKP-PLP provides accurate point prediction and compact intervals with reliable coverage. The proposed method achieves an MAE of 1.03 dB and an RMSE of 1.54 dB. The ablation results further confirm that both the WEKP prior and the residual correction using a small number of measurement samples are necessary for accurate and reliable shore-to-ship path loss prediction.
发表机构
- Beijing University of Posts and Telecommunications（北京邮电大学）
- Inner Mongolia University（内蒙古大学）
- China Information Technology Designing & Consulting Institute Co., Ltd.（中国信息技术设计咨询有限公司）
机构由 AI 辅助整理，请以论文原文为准。
