The optimization of Networked TT&C System for Mega LEO Constellation

With the flourishing of multiple Low Earth Orbit (LEO) satellite constellations in wireless communication networks, traditional satellite Tracking, Telemetry, and Command (TT&C) systems encounter difficulties in resolving the TT&C resource scheduling problem. However, Networked TT&C systems can significantly expand the TT&C resource scheduling space by applying Inter-Satellite Links (ISLs). To establish a feasible optimization strategy for Networked TT&C systems and evaluate system performance under different conditions, we optimized the Networked TT&C system by designing a networked TT&C resource scheduling algorithm from an overall perspective. The optimization problem of the Networked TT&C system was decomposed into two primary components: the Satellite to Ground Links (SGLs) resource allocation problem and the ISLs topology generation problem. These were solved by a greedy algorithm and the Improved Breadth-First-Search (IBFS) algorithm, respectively. Simulation results demonstrate that the performance of the designed Networked TT&C system is significantly better than the upper bound performance of groundbased TT&C systems under appropriate conditions.