A Method of Constellation Design based on PSO for 5G LEO Satellite Communication System

Li Wei, Wang Dayang, Cai Hao, Jiang Song, Li Pei, Jiang Chunxia
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Abstract

The wireless satellite communication system is considered to be the most promising new communication method to achieve the coverage of heaven, earth and sea. Satellite constellation design is the most important stage before the actual deployment of satellites. It will determine the number of satellites and orbit related parameters. We aim to study the constellation design of 5G low-orbit satellites. At present, some advanced research results have been proposed, providing important theory and experience for in-depth exploration and improvement of satellite constellation structure. We proposed a method based on the multi-objective particle swarm optimization (PSO) algorithm for designing low-orbit 5G satellite constellation. The method takes the number of satellites and orbit related parameters as the limit, and take the coverage of a specific area as the objective function. The results showed that the PSO algorithm can meet the full-time and full-area coverage low-orbit 5G constellation design for a specific area, and verified the effectiveness of the PSO algorithm for the coverage low-orbit 5G constellation design for the target area. We provided satellite constellation coverage guarantee for link-level simulation of 5g LEO satellite communication system in the next step.
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基于粒子群算法的5G低轨卫星通信系统星座设计方法
无线卫星通信系统被认为是最有前途的实现天、地、海全覆盖的新型通信方式。卫星星座设计是卫星实际部署前最重要的阶段。它将确定卫星数量和轨道相关参数。我们的目标是研究5G低轨道卫星星座设计。目前,已经提出了一些先进的研究成果,为深入探索和改进卫星星座结构提供了重要的理论和经验。提出了一种基于多目标粒子群算法的低轨5G卫星星座设计方法。该方法以卫星数量和轨道相关参数为极限,以特定区域的覆盖范围为目标函数。结果表明,PSO算法可以满足特定区域的全时、全区域覆盖低轨5G星座设计,验证了PSO算法用于目标区域覆盖低轨5G星座设计的有效性。为下一步5g低轨卫星通信系统链路级仿真提供卫星星座覆盖保障。
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