Problem
Research questions and friction points this paper is trying to address.
Low Earth orbit (LEO)
mega-constellations
non-stationary interference
kinetic interference field
hydrodynamic conservation law
Fluid-Dynamic Interference Modeling for LEO Mega-Constellations: A Spatiotemporal Kinetic Field Approach
🤖 AI Summary
本文针对LEO巨型星座的非稳态干扰问题，提出了一种基于流体动力学的干扰场框架，并通过连续通量场映射卫星运动，推导出时间变化中断概率的闭式表达式。
📝 Abstract
Low Earth orbit (LEO) mega-constellations create a highly non-stationary interference environment that cannot be accurately captured by static stochastic-geometry snapshots. This paper proposes a kinetic interference field framework that models the constellation as a compressible fluid shell evolving under orbital kinematics. By mapping satellite motion into a continuum flux field, we derive a hydrodynamic conservation law for the aggregate interference and obtain a closed-form expression for the time-varying outage probability via moment matching. The analysis reveals that high-latitude ``interference surges'' are a direct consequence of orbital compression and boundary flux, rather than random anomalies. Numerical validation against ephemeris-driven Monte Carlo simulations confirms the accuracy of the framework across time evolution, latitude, and design parameters. Leveraging the closed-form model, we further show that the conventional $90^{\circ}$ polar-orbit design is not universally outage-optimal. Instead, an inclination angle near $79^{\circ}$ at low altitude achieves a favorable trade-off between coverage continuity and geometric interference isolation. The proposed framework provides a tractable analytical tool for interference-aware 6G non-terrestrial network (NTN) design.
Innovation
Methods, ideas, or system contributions that make the work stand out.
kinetic interference field
hydrodynamic conservation law
moment matching
orbital compression
boundary flux
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