面向最优业务投递率的巨型星座渐进式部署算法OA

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％.