Power Allocation Optimization of Multibeam Satellites for Integrated Satellite-Terrestrial Networks

The increasing demand for high data rate services over the integrated satellite-terrestrial network has pushed for the development of millimeter-wave (mmWave) band high throughput satellites (HTS) with multibeams. However, existing multibeam HTS is with predetermined beam connection. Considering the mmWave channel is much more sensitive to the weather conditions than the conventional S/C/X band channels, it is important to allocate the limited transmission power to the beams that connect to the ground station in good state. Moreover, due to the huge distance and long propagation delay in the integrated satellite-terrestrial networks, the multibeam HTS can only obtain delayed Channel State Information (CSI) from feedback. In this paper, we model this problem as a Partially Observable Markov Decision Process (POMDP), and propose a power allocation optimization over two identical Gilbert-Elliott beams HTS communication, which can partly mitigate the negative effects of adverse weather conditions. The key thresholds for selecting the optimal power allocation method in the multibeam HTS communications are derived. The effectiveness and potentialities of our proposed scheme is verified through simulation results.