Partial Time-Expanded Network for Scalable Mega-Constellation Deployment Optimization (IMAGE)

Tsinghua University Press

Partial Time-Expanded Network for Scalable Mega-Constellation Deployment Optimization

Caption

The figure illustrates a partial time-expanded network model for optimizing large-scale LEO constellation deployment. It separates active transport layers (e.g., direct injection, orbital transfers) from waiting layers (e.g., parking-orbit holding), enabling dynamic node generation based on task durations. This approach prunes redundant links, supports dual-channel strategies, and facilitates efficient satellite launch sequence planning under constraints like payload capacity and orbital mechanics, ultimately reducing computational complexity for mega-constellations like Starlink.

Credit

Chinese Journal of Aeronautics

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