低轨巨型星座的流体动力学干扰建模：一种时空动力学场方法
Fluid-Dynamic Interference Modeling for LEO Mega-Constellations: A Spatiotemporal Kinetic Field Approach
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中文总结 AI 辅助
针对LEO巨型星座的非平稳干扰环境，提出时空动力学场框架，推导闭式中断概率模型，发现79°低倾角轨道设计更优，为6G NTN设计提供分析工具。
中文摘要 AI 辅助
低地球轨道（LEO）巨型星座会产生高度非平稳的干扰环境，静态随机几何快照无法准确捕捉该环境。本文提出一种动力学干扰场框架，将星座建模为在轨道运动学作用下演化的可压缩流体壳，通过将卫星运动映射为连续通量场，推导了聚合干扰的流体动力学守恒定律，并通过矩匹配得到时变中断概率的闭式表达式。分析表明，高纬度地区的“干扰激增”是轨道压缩和边界通量的直接结果，而非随机异常。针对星历驱动的蒙特卡洛模拟进行的数值验证证实了该框架在时间演化、纬度和设计参数方面的准确性。利用该闭式模型，进一步表明传统的90°极轨道设计并非普遍最优，低轨道附近79°左右的倾角可在覆盖连续性与几何干扰隔离间实现良好权衡。该框架为面向干扰感知的6G非地面网络（NTN）设计提供了一种易处理的分析工具。
英文摘要
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.
