Statistical Modeling for Accurate Characterization of Doppler Effect in LEO-Terrestrial Networks

TL;DR

This paper develops a comprehensive analytical model for Doppler shifts in LEO satellite networks, accounting for Earth's curvature and user distribution, to improve Doppler compensation and system performance.

Contribution

It introduces a generalized spherical geometry-based framework for characterizing Doppler effects, including residual differential Doppler, in LEO systems with arbitrary elevation angles.

Findings

Derived closed-form expressions for Doppler shift and differential Doppler.

Provided statistical models (CDF and PDF) for Doppler variations among users.

Validated analysis with simulations showing the influence of satellite parameters.

Abstract

Low Earth Orbit (LEO) satellite communication is a promising solution for global wireless coverage, especially in underserved and remote areas. However, the high relative velocity of LEO satellites induces significant Doppler shifts that disrupt subcarrier orthogonality and degrade multicarrier system performance. While the common time-varying Doppler shift can be compensated relative to a reference point, the residual differential Doppler across users within the coverage cell remains a significant challenge, causing severe intercarrier interference. This paper presents a generalized analytical framework for characterizing both the Doppler shift magnitude and the differential Doppler in LEO systems. Unlike prior works limited by flat-Earth assumptions or specific orbital configurations, our model incorporates Earth's curvature and supports arbitrary elevation angles. Using spherical geometry, we derive closed-form expressions for Doppler shift based on the central angle between the satellite and ground users. We further provide a statistical characterization of both the Doppler shift magnitude and the differential Doppler in terms of their cumulative distribution function (CDF) and probability density function (PDF) for uniformly distributed users within a spherical cap cell. Additionally, we derive a tight upper bound for the Doppler shift CDF and an exact expression for the maximum differential Doppler experienced across the coverage region. To mitigate intra-cell Doppler variation, we implement a user clustering technique that partitions the coverage area based on a Doppler disparity threshold into spherical sub-cells, ensuring compliance with 3GPP tolerances. Extensive simulations over realistic satellite constellations validate our analysis and reveal the impact of altitude, beamwidth, and satellite-user geometry on Doppler behavior.