The Optimal Deployment Strategy of Mega-Constellation Based on Markov Decision Process

LEO satellite mega-constellation projects have been proposed by many countries or commercial organizations in recent years. With more than 2000 satellites launched SpaceX to configure the Starlink system, orbital resources are constrained given existence of spacecrafts and countless debris. Due this, operating environment is full uncertainty information symmetry absent for designers stakeholders during process project deployment. The flux model space debris on orbit has built assessing operation environment. Based model, collision probability can be calculated, which an important variable state space. Given condition that tge number decreases due between debris, Markov decision optimal deployment strategy decision-making. In order assure system could provide services when failed, additional need launched. launch a moderate maximize benefit minimize cost. Assuming at least 30 operated, 4 scenarios considered strategies obtained.