Rateless Coding Scheme Based on Autoregressive-Moving-Average Model over Ka-Band Links

Future deep space explorations and spatial information networks (SINs) are with the increasing demands for high data rate services, the application of Ka-band channel is viewed as a primary solution. However, the Ka-band channel is much more sensitive to the weather conditions than S/C/X-band channels. In this paper, the noise temperature on Ka-band channel is modeled as N-states Markov channel, and a practical time-varying rain attenuation prediction model is proposed based on the Autoregressive-Moving-Average (ARMA) model. By considering the tradeoffs between transmission latency, reliability and power allocations consumptions, we design an adaptive rateless coding scheme based on the analog fountain codes. Simulation results show that our proposed scheme can effectively improve the throughput and efficiency.