左伟庆,黄桓,郭兰图,等. 面向密集城区微小区的电波传播特性测量与建模[J]. 电波科学学报,xxxx,x(x): x-xx. DOI: 10.12265/j.cjors.2024016
      引用本文: 左伟庆,黄桓,郭兰图,等. 面向密集城区微小区的电波传播特性测量与建模[J]. 电波科学学报,xxxx,x(x): x-xx. DOI: 10.12265/j.cjors.2024016
      ZUO W Q, HUANG H, GUO L T, et al. Measurement and modeling of radio wave propagation characteristics for microcells in dense urban areas[J]. Chinese journal of radio science,xxxx,x(x): x-xx. (in Chinese). DOI: 10.12265/j.cjors.2024016
      Citation: ZUO W Q, HUANG H, GUO L T, et al. Measurement and modeling of radio wave propagation characteristics for microcells in dense urban areas[J]. Chinese journal of radio science,xxxx,x(x): x-xx. (in Chinese). DOI: 10.12265/j.cjors.2024016

      面向密集城区微小区的电波传播特性测量与建模

      Measurement and modeling of radio wave propagation characteristics for microcells in dense urban areas

      • 摘要: 为了研究密集城区微小区场景下2~18 GHz宽频带的电波传播特性,满足未来5G通信基站规划和资源调度对传播模型的需求,本文构建了支持实时记录地理位置和频谱数据的电波传播特性自动化测量系统,设计并执行了微小区电波传播特性测量实验,提出了一种考虑建筑物吸收损耗的本地化统计传播模型。首先根据ITU-R相关建议书构建路径损耗基础模型,然后选取实际典型微小区场景并基于OpenStreetMap开源地图编辑平台提取实验场建筑物矢量信息,最后基于Matlab实现实时差分定位(real-time kinematic, RTK)、频谱仪和电脑的信息交互,基于实测数据校正模型参数并添加考虑建筑物吸收损耗的修正项,完成了模型的本地化处理。实验结果表明,本文搭建的自动化测量系统能够稳定、精确地采集相关数据,构建的本地化密集城区微小区传播预测模型误差标准差最低可降至5 dB,可为研究通用复杂环境电波传播特性和未来5G的基站规划应用提供新的测试手段和模型依据。

         

        Abstract: To investigate the radio wave propagation characteristics within dense urban microcell scenarios across a 2-18 GHz wide bandwidth, essential for future 5G communication base station planning and resource allocation, this study has developed an automated measurement system capable of real-time recording of geographical location and spectral data. Experiments to measure the propagation characteristics of microcellular radio waves were designed and conducted. A localized statistical propagation model that accounts for building absorption losses was proposed. Initially, a path loss base model was constructed in accordance with recommendations from the International Telecommunication Union Radiocommunications sector (ITU-R). Typical microcell scenarios were selected, and building vector information for the experimental sites was extracted using the OpenStreetMap open-source mapping platform. Information exchange between real-time kinematic (RTK), spectrum analyzers, and computers was realized through Matlab. The model parameters were calibrated based on the measured data, and a correction term that considers building absorption losses was added, culminating in the localization of the model. The experimental results indicate that the automated measurement system assembled in this study is capable of stably and accurately collecting relevant data. The localized propagation prediction model for dense urban microcells constructed herein can reduce the standard deviation of the error to as low as 5 dB, providing new testing methods and a model basis for researching radio wave propagation characteristics in complex environments and for the application of future 5G base station planning.

         

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