Adaptive transmission based on satellite trajectory prediction and temporal correlation of weather attenuation

This paper focuses on high-speed data transmission between low-earth-orbit (LEO) satellite and earth station. An adaptive transmission scheme based on predictability of satellite trajectory and temporal correlation of weather attenuation is proposed. Considering the near-capacity performance, Spinal codes are adopted. In the proposed scheme, the free-space path loss is estimated according to the predictable satellite trajectory. On the other hand, we develop a parabola-fitting and distance-modification predicted method for weather attenuation based on that the weather variation is relatively slow. As a result, we predict the signal noise ratio (SNR) in real time to adjust the rate of Spinal codes with only once feedback in one communication window. Both the theoretical analysis and simulation results show that compared to original scheme with feedback of once per 2 seconds which is the same as DVB-S2 and Versa-FEC2, the maximum throughput loss in the proposed scheme is less than 0.6% even in rainy weather. What's more, the cost of feedback is significantly reduced.