论文标题
LEO卫星网络中多普勒表征的随机几何方法
A Stochastic Geometry Approach to Doppler Characterization in a LEO Satellite Network
论文作者
论文摘要
包括低地球轨道（LEO）卫星的非事物网络（NTN）可以使连通性与服务不足的区域，从而补充现有的电信网络。高速卫星运动在物理层上构成了几个挑战，例如大型多普勒频移。在本文中，开发了一个分析框架，用于在NTN中多普勒转移的统计表征，Leo卫星为地面用户提供通信服务。使用随机几何形状的工具，将单元格中的用户分组为不相交的群集，以限制用户之间的差异多普勒。在一些简化的假设下，累积分布函数（CDF）和概率密度函数是在集群中随机用户处的多普勒移位幅度得出的。还为CDF提供了群集内的最小和最大多普勒移位幅度。利用分析结果，检查了关键系统参数（例如群集大小和卫星高度）之间的相互作用。数值结果验证了从分析获得的见解。
A Non-terrestrial Network (NTN) comprising Low Earth Orbit (LEO) satellites can enable connectivity to underserved areas, thus complementing existing telecom networks. The high-speed satellite motion poses several challenges at the physical layer such as large Doppler frequency shifts. In this paper, an analytical framework is developed for statistical characterization of Doppler shift in an NTN where LEO satellites provide communication services to terrestrial users. Using tools from stochastic geometry, the users within a cell are grouped into disjoint clusters to limit the differential Doppler across users. Under some simplifying assumptions, the cumulative distribution function (CDF) and the probability density function are derived for the Doppler shift magnitude at a random user within a cluster. The CDFs are also provided for the minimum and the maximum Doppler shift magnitude within a cluster. Leveraging the analytical results, the interplay between key system parameters such as the cluster size and satellite altitude is examined. Numerical results validate the insights obtained from the analysis.
