Propagation modeling is a crucial tool for successful wireless deployments and spectrum planning with the demand for high modeling accuracy continuing to grow. Recognizing that detailed knowledge of the physical environment (terrain and clutter) is essential, we propose a novel approach that uses environmental information for predictions. Instead of relying on complex, detail-intensive models, we explore the use of simplified scalar features involving the total obstruction depth along the direct path from transmitter to receiver. Obstacle depth offers a streamlined, yet surprisingly accurate, method for predicting wireless signal propagation, providing a practical solution for efficient and effective wireless network planning.

翻译：传播建模是成功实现无线部署和频谱规划的关键工具，且对建模精度的需求持续增长。鉴于对物理环境（地形与地物）详细信息的必要性认知，我们提出一种利用环境信息进行预测的新方法。不同于依赖复杂且需大量细节的模型，我们探索采用沿发射机至接收机直视路径的总障碍物深度这类简化标量特征。障碍物深度为预测无线信号传播提供了一种精简却出乎意料精准的方法，可为高效实用的无线网络规划提供解决方案。