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

机译:集成卫星-地面网络的多波束卫星的功率分配优化

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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.
机译:通过集成的地面卫星网络对高数据速率服务的需求不断增长,推动了具有多波束的毫米波(mmWave)频段高吞吐量卫星(HTS)的发展。但是,现有的多光束HTS具有预定的波束连接。考虑到毫米波信道比常规的S / C / X波段信道对天气条件更为敏感,因此重要的是将有限的发射功率分配给处于良好状态的连接到地面站的波束。此外,由于集成的卫星地面网络中的距离远且传播延迟长,所以多波束HTS只能从反馈中获取延迟的信道状态信息(CSI)。在本文中,我们将此问题建模为部分可观察的马尔可夫决策过程(POMDP),并针对两个相同的Gilbert-Elliott光束HTS通信提出了一种功率分配优化方案,可以部分缓解不利天气条件的负面影响。推导了在多波束HTS通信中选择最佳功率分配方法的关键阈值。仿真结果验证了所提方案的有效性和潜力。

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