Impacts of Large-Scale NGSO Satellites: RFI and A New Paradigm for Satellite Communications and Radio Astronomy Systems
Impacts of Large-Scale NGSO Satellites: RFI and A New Paradigm for Satellite Communications and Radio Astronomy Systems
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DOI：
10.1109/tcomm.2019.2928537
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发表时间：
2019-11
影响因子：
8.3
通讯作者：
Yucheng Dai;Dong-Wan Han;H. Minn
中科院分区：
文献类型：
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作者：
Yucheng Dai;Dong-Wan Han;H. Minn
大规模非地球静止轨道(NGSO)卫星通信系统(SCSS)因其无处不在的无线接入和回程能力而受到工业界的关注。然而，NGSO SCSS的全球下行传输会对地球上的射电天文系统(RAS)造成射频干扰(RFI)。因此，本文首先研究了大尺度NGSO南海的RFI影响。我们的RFI分析表明，大尺度的低地球轨道(LEO)南海完全扰乱了RAS在南海下行链路内或其附近的连续观测，从而限制了南海和RAS的共存和增长。为了克服这一局限，我们提出了一种新的范式，将SCS和RAS集成到NGSO卫星系统中，从而有效地在轨道上创建大型望远镜。这一综合系统不仅避免了SCS对RAS的RFI，而且为SCS和RAS提供了更多的频谱接入机会。此外，本文还解决了与新范式相关的两个问题，即频谱资源分配问题和RAS数据传输问题。我们的性能评估说明了建议范例在可访问频段、RAS观测性能和SCS最大平均可支持数据速率方面的优势，以及支持两种类型服务的共存和增长。
Large-scale non-geostationary orbit (NGSO) satellite communication systems (SCSs) are gaining interest from industries because of their ubiquitous wireless access and backhaul capabilities. However, the NGSO SCSs’ global downlink transmission can cause radio frequency interference (RFI) to the radio astronomy system (RAS) on earth. Thus, this paper first investigates RFI impacts of a large-scale NGSO SCS. Our RFI analyses show that a large-scale low earth orbit (LEO) SCS completely disrupts RAS’s continuum observation within or adjacent to the SCS downlink bands, which limits coexistence and growths of both SCS and RAS. To overcome such limitation, we propose a new paradigm where SCS and RAS are integrated into the NGSO satellite system, thus effectively creating large-scale telescopes in orbit. This integrated system not only avoids SCS’s RFI to RAS but also offers more spectrum access opportunities to both SCS and RAS. In addition, this paper addresses two related problems of the new paradigm, namely, the spectrum resource allocation problem and the RAS data transport problem. Our performance evaluation illustrates the advantages of the proposed paradigm in terms of accessible spectrum bands, RAS observation performance, and SCS maximum mean supportable data rate as well as enabling coexistence and growths of both types of services.