Downlink Scheduling Problem

The satellite downlink scheduling problem focuses on efficiently transmitting large volumes of data from satellites to ground stations, optimizing for factors like transmission speed, data loss, and energy consumption. Current research emphasizes developing sophisticated models and algorithms, often employing bi-objective optimization techniques (e.g., combining genetic algorithms with local search heuristics) to balance competing objectives such as minimizing transmission failures and maximizing data throughput, sometimes incorporating data segmentation strategies. These advancements are crucial for maximizing the scientific return from satellite missions, particularly for resource-constrained platforms like nanosatellites, and improving the overall efficiency of satellite communication networks.