An Integrated Terrain and Clutter Propagation Model for 1.7 and 3.5 GHz Spectrum Sharing

An Integrated Terrain and Clutter Propagation Model for 1.7 and 3.5 GHz Spectrum Sharing
复制标题

用于 1.7 和 3.5 GHz 频谱共享的集成地形和杂波传播模型

DOI:
10.1109/tap.2022.3161496
复制
发表时间:
2022
影响因子:
5.7
通讯作者:
C. Anderson
C. Anderson
中科院分区:
计算机科学2区
文献类型:
--
作者:
C. Anderson

文献摘要

被引文献

相似文献

在过去的十年中,频谱共享已经发展成为可行的商业系统,以满足服务提供商和最终用户日益增长的频谱需求。这些系统成功的关键是准确可靠的传播模型,该模型将同时最大化能够访问频谱的用户数量,并将对现有用户或受保护用户的干扰降至最低。这些系统目前使用的经典传播模型-不规则地形模型(ITM)和扩展HATA(EHATA)-没有考虑树叶或端点杂波等可能对传播损耗产生重大影响的特征。这篇手稿提出了一个基于测量的框架来更新这些经典模型,并提出了一个使用公开可用的地理信息系统数据集的新的集成地形和杂波模型。在美国九个不同的地点,以1.7 GHz和3.5 GHz的频率记录了超过400,000个路径损耗测量结果。我们的更新将测量结果与模型之间的均方根差改进了3-7分贝(ITM)和3-14分贝(EHATA)。此外,我们还演示了几种综合地形和杂波模型,它们的均方根差异在9.5-17.8分贝之间。最后,使用交叉验证来证明我们的模型对各种传播环境的泛化能力。
Over the past decade, spectrum sharing has evolved into viable commercial systems poised to meet the ever-increasing spectrum demand from service providers and end users. The key to the success of these systems is accurate and reliable propagation models that will simultaneously maximize the number of users able to access the spectrum and minimize the interference to incumbent or protected users. The classical propagation models currently utilized by these systems—the Irregular Terrain Model (ITM) and Extended Hata (eHata)—do not account for features such as foliage or endpoint clutter that can have a large impact on propagation loss. This manuscript presents a measurements-based framework for updating these classical models and proposes a new integrated terrain and clutter model using publicly available geographic information system datasets. Over 400,000 path loss measurements were recorded in nine diverse locations across the United States at 1.7 and 3.5 GHz. Our updates improved the RMS difference between measurements and model by 3-7 dB for ITM and 3-14 dB for eHata. Additionally, we demonstrate several integrated terrain and clutter models that have RMS differences ranging from 9.5–17.8 dB. Finally, cross-validation was used to demonstrate the generalizability of our models to a wide variety of propagation environments.