Satellite Constellation

Satellite constellations are networks of interconnected satellites designed for various applications, from global communication and Earth observation to navigation and scientific research. Current research heavily focuses on optimizing constellation management through reinforcement learning and multi-agent systems to improve resource allocation, fault tolerance, and efficient data routing, often employing deep Q-networks and other advanced algorithms. These advancements are crucial for enabling efficient data processing and machine learning tasks, such as federated learning, directly onboard satellites or through collaborative ground and airborne infrastructure, thereby reducing latency and bandwidth demands. The resulting improvements in efficiency and robustness are significant for diverse applications, ranging from improved weather forecasting to enhanced planetary exploration.