期刊
IEEE COMMUNICATIONS LETTERS
卷 25, 期 3, 页码 696-700出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LCOMM.2020.3037351
关键词
Atmospheric modeling; Satellites; Satellite broadcasting; Standards; Nonlinear optics; ITU; Absorption; Satellite-to-ground; IoT-over-satellite; land mobile-satellite; GNSS; GPS; path-loss modeling; stochastic geometry
This letter introduces a systematic framework for modeling satellite-to-ground path-loss in urban environments, utilizing a semi-analytic approach that combines tools from stochastic geometry and a Gaussian mixture model. The framework achieves a balance between simplicity and accuracy, as demonstrated by the results of conducted measurements.
We are currently witnessing a leap in provisioning wireless networks using satellites, enabled by the recent reduction in the launching costs and the advent of the Internet-of-Things. Understanding the path-loss between satellites and ground users is vital for the proper planning and design of such networks. This letter presents a systematic framework for modeling satellite-to-ground path-loss in urban environments. The modeling approach is semi-analytic, where the line-of-sight probability is obtained using tractable tools from stochastic geometry, while the shadowing is captured using a Gaussian mixture model that can be trained using measurements collected from global navigation satellite system (GNSS) receivers. The presented modeling framework balances simplicity and accuracy as illustrated with the results of the conducted measurements.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据