Adaptive Congestion Control Strategies for LEO Satellite Networks

LEO satellite networks are essential for providing global communication coverage, especially in areas where traditional terrestrial networks are unavailable. However, LEO satellite networks face several challenges compared to terrestrial networks, including rapid bandwidth fluctuation, long Round-Trip Time (RTT), and high Bit Error Rate (BER), which can significantly impact communication quality and reliability. To address these issues and optimize network performance, we propose the OnlineAEPC algorithm. This algorithm adaptively adjusts the congestion window size based on real-time environmental conditions, thereby reducing transmission time and packet loss. Extensive simulations validate the performance of our algorithm under various challenging conditions characterized by rapid bandwidth fluctuation, long RTT, and high BER. Our comparisons with baseline algorithms demonstrate that OnlineAEPC offers significant improvements in transmission time and packet loss reduction.