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arXiv 2410.14902cs.ITmath.IT
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混合GEO-LEO卫星网络的建模与分析

Modeling and Analysis of Hybrid GEO-LEO Satellite Networks

Dong-Hyun Jung, Hongjae Nam, Junil Choi, David J. Love

AI总结:

本文基于泊松点过程对共享频率资源的混合GEO-LEO卫星网络进行建模,推导覆盖概率解析表达式,并通过仿真验证其有效性。

摘要:

随着低地球轨道(LEO)卫星数量的迅速增加,地球同步轨道(GEO)与LEO卫星之间的频率共享或协作正受到越来越多的关注。本文考虑一个混合GEO-LEO卫星网络,其中GEO和LEO卫星按照独立的泊松点过程(PPP)分布,并共享相同的频率资源。基于PPP的性质,我们首先分析了卫星可见概率、距离分布和关联概率。然后,我们推导出网络覆盖概率的解析表达式。通过蒙特卡洛仿真,我们验证了解析结果,并展示了系统参数对覆盖性能的影响。解析结果能够有效估计GEO和LEO卫星协作或共享相同资源场景下的覆盖性能。

英文摘要:

As the number of low Earth orbit (LEO) satellites rapidly increases, the consideration of frequency sharing or cooperation between geosynchronous Earth orbit (GEO) and LEO satellites is gaining attention. In this paper, we consider a hybrid GEO-LEO satellite network where GEO and LEO satellites are distributed according to independent Poisson point processes (PPPs) and share the same frequency resources. Based on the properties of PPPs, we first analyze satellite-visible probabilities, distance distributions, and association probabilities. Then, we derive an analytical expression for the network's coverage probability. Through Monte Carlo simulations, we verify the analytical results and demonstrate the impact of system parameters on coverage performance. The analytical results effectively estimate the coverage performance in scenarios where GEO and LEO satellites cooperate or share the same resource.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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