AI 中文总结
本文针对异构LEO卫星网络，采用球面Cox点过程等建模方法，分析卫星基础设施共享的可行性，推导关键性能指标闭式表达式，揭示覆盖重叠的固有权衡。
AI 中文摘要
本文开发了一个分析框架，用于评估多个低地球轨道（LEO）卫星运营商之间卫星基础设施共享的可行性与性能。受有限卫星资源下全球连接需求日益增长的驱动，所提模型刻画了独立运营的星座共存且无预定义轨道协议的非协调部署场景。为描述此类异构配置，采用球面Cox点过程联合生成轨道结构与卫星；随后为每颗卫星分配随机通信范围，以反映不同运营商覆盖能力的差异。整体覆盖区域通过球面Cox-Boolean模型建模，该模型刻画了地球表面各卫星球形覆盖足迹的空间重叠情况。利用所提框架，对卫星基础设施共享的可行性与效益进行了数学分析，并推导了关键性能指标的闭式表达式，包括连接概率、连接数量，以及干扰受限体制下的下行链路信号特性，如最近服务距离、总接收信号功率和信干噪比（SIR）分布。分析结果通过系统级仿真验证，可有效表征轨道几何如何影响覆盖、连通性与干扰，并揭示了异构卫星星座中覆盖重叠引发的固有权衡关系。
英文摘要
This paper develops an analytical framework to evaluate the feasibility and performance of satellite infrastructure sharing among multiple low Earth orbit (LEO) satellite operators. Motivated by the growing demand for universal connectivity under limited satellite resources, the proposed model captures uncoordinated deployments where independently operated constellations coexist without predefined orbital agreements. To describe such heterogeneous configurations, the spherical Cox point process is employed to jointly generate orbital structures and satellites. Then, each satellite is further assigned a random communication range, reflecting variations in coverage capability across operators. The overall coverage region is modeled through a spherical Cox-Boolean model that captures the spatial overlap of individual satellite spherical footprints on Earth. Using the proposed framework, the feasibility and benefits of satellite infrastructure sharing are mathematically analyzed, and closed-form expressions are derived for key performance metrics such as the connection probability, connection number, and downlink signal characteristics including the nearest serving distance, total received signal power, and the signal-to-interference ratio (SIR) distribution in the interference-limited regime. The analytical results, validated through system-level simulations, provide a tractable characterization of how orbital geometry governs coverage, connectivity, and interference, and reveal the inherent trade-offs induced by coverage overlap in heterogeneous satellite constellations.
Commentssubmitted to IEEE Transactions on Wireless Communications
