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arXiv 2602.13340cs.NIcs.ET
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在现实数字孪生测试环境中的3D Wi-Fi信号测量:利用光线追踪

3D Wi-Fi Signal Measurement in Realistic Digital Twin Testbed Environments Using Ray Tracing

University of Ottawa(渥太华大学);School of Electrical Engineering and Computer Science, University of Ottawa(渥太华大学电气与计算机工程学院);Huawei Canada(华为加拿大)

Mengyuan Wang, Haopeng Wang, Haiwei Dong, Abdulmotaleb El Saddik

AI总结:

本文提出基于数字孪生的3D Wi-Fi信号测量系统,利用光线追踪实现高精度电磁建模,验证了其在现实环境中的有效性与频率依赖性材料衰减建模能力。

摘要:

准确且高效的室内无线信号传播建模对于下一代Wi-Fi的部署至关重要。本文提出了一种基于数字孪生的测量系统,该系统整合了真实三维环境重建与确定性光线追踪,用于物理基础的电磁建模。建筑物几何结构通过LiDAR扫描获得,随后进行物体分割并分配ITU-R标准材料参数。传播过程通过GPU加速的光线追踪引擎进行模拟,生成路径级的信道属性,包括延迟、功率、角散射和Rician K因子。在相同的运行时间约束下,所提出的系统与商业测量模拟器进行评估,显示出高达21dB的路径增益,并在视距条件下一致改进了信噪比。此外,与现场RSSI测量的实验验证了校准后的高空间相关性为0.98,证明了系统在现实环境中的准确性。此外,对2.4GHz、5GHz和6GHz频段的覆盖分析展示了系统对Wi-Fi 6E/7网络频率依赖性材料衰减建模的能力。最后,该系统提供交互式3D可视化和按需数据提取,突显了其在数字孪生驱动的无线系统设计和优化中的潜力。

英文摘要:

Accurate and efficient modeling of indoor wireless signal propagation is crucial for the deployment of next-generation Wi-Fi. This paper presents a digital twin-based measurement system that integrates real-world 3D environment reconstruction with deterministic ray tracing for physically grounded electromagnetic modeling. Building geometry is obtained through LiDAR scanning, followed by object segmentation and assignment of ITU-R standard material parameters. The propagation process is simulated with a GPU-accelerated ray-tracing engine that generates path-level channel attributes, including delay, power, angular dispersion, and Ricean K-factor. Under identical runtime constraints, the proposed system is evaluated against a commercial measurement simulator, demonstrating up to 21 dB higher path gain and consistently improved signal-to-interference-plus-noise ratio in line-of-sight conditions. Additionally, experiments against onsite RSSI measurements confirm a high spatial correlation of 0.98 after calibration, proving the system's fidelity in real-world settings. Furthermore, coverage analysis across 2.4 GHz, 5 GHz, and 6 GHz bands demonstrates the capability of system to model frequency-dependent material attenuation for Wi-Fi 6E/7 networks. Finally, the system offers interactive 3D visualization and on-demand data extraction, highlighting its potential for digital twin-driven wireless system design and optimization.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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