天地一体化信息网络2026，Vol.7Issue(1)：28-37,10.DOI:10.11959/j.issn.2096-8930.2026004
面向最优业务投递率的巨型星座渐进式部署算法
Progressive Deployment Algorithm of Mega-Constellations for Optimal Service Delivery Rate
摘要
Abstract
Mega-constellations are characterized by a prolonged deployment lifecycle and significant capital expenditure.During the ini-tial deployment phase,the limited number and sparse distribution of on-orbit satellites severely restrict communication capabilities,such as satellite-to-ground data transmission.To enhance the data transmission capability during the satellite deployment,this paper introduces a novel constellation deployment algorithm.The algorithm first establishes a deployment model that comprehensively considers multi-plane deployment time and fuel costs.It then sets the dual objectives of optimizing the duration of revisit times and improving network reachability,ensuring higher network connectivity and data transmission efficiency.Simulation results demonstrate that,compared to de-ployment based on the same orbital plane and a strategy based on minimizing the standard deviation of revisit times,our proposed algo-rithm significantly increases the data delivery success rate in the initial deployment phase from 65.6％and 76.8％,respectively,to 90％.关键词
巨型低轨星座/卫星部署/业务投递率/卫星网络仿真Key words
mega LEO constellation/satellite deployment/service delivery rate/satellite network simulation分类
信息技术与安全科学引用本文复制引用
刘一恺,张冬顺,崔欣斌,陆莉莉,王兴梅,张冬,郭秉礼,周宇,黄善国..面向最优业务投递率的巨型星座渐进式部署算法[J].天地一体化信息网络,2026,7(1):28-37,10.基金项目
国家自然科学基金(No.62401082,No.6212500328) The National Natural Science Foundation of China(No.62401082,No.6212500328) （No.62401082,No.6212500328）
