Dynamic Resource Allocation for Beam Hopping Satellites Communication System: An Exploration
Xinqing Du, Xin Hu, Yin Wang, Weidong Wang
Abstract
The ground traffic demand of multi-beam satellites is growing rapidly, but resources such as satellite power and bandwidth are limited. Beam hopping (BH) alleviates the problem of insuffident satellite transmitters, but how to improve the utilization of limited resources to increase satellite throughput is still a challenge in the future. In this paper, starting from beam hopping, the bandwidth allocation in beam hopping systems is analyzed first. The results show that the effect of full frequency reuse works better than that of partial frequency reuse in the beam hopping system with fewer beams, but the former can reduce the complexity of problems. Afterwards, a deep reinforcement learning strategy combining power allocation and beam hopping (PABH) is proposed, which improves power utilization and satellite throughput to a certain extent, which proves that power allocation is feasible.